SEN-Transport_baseline-scenario_2022-01-05.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Network analysis in Senegal\n",
    "\n",
    "### Objectives\n",
    "    1)\tUse measures of road-based accessibility to identify road segments that, if rehabilitated, would improve agricultural market activities in Senegal, including during flood conditions.\n",
    "    2)\tGain a better understanding of the accessibility, connectivity, and criticality of roads in Senegal in relationship to agricultural origins, processing & transfer sites, and markets.\n",
    "\n",
    "To this end, the team will develop an accessibility model which measures the travel time from sites of agricultural production to their nearest populated areas, processing centers, and markets. \n",
    "\n",
    "### Datasets for analysis\n",
    "#### ORIGIN\n",
    "    1) agriculture: MapSPAM 2017. Measuring value in international dollars.\n",
    "    2) agriculture: UMD Land Cover 2019 30m. Assign MapSPAM value onto land cover cropland class for more precise origin information.\n",
    "    3) population: WorldPop 2020, UN-adjusted.\n",
    "    4) settlement extent: GRID3 2020.\n",
    "#### DESTINATION\n",
    "    4) markets: derived from WorldPop 2020 and GRID3 2020 urban clusters.\n",
    "    5) agricultural processing hubs: to be acquired.\n",
    "#### TRAVEL ROUTE\n",
    "    6) roads: OpenStreetMap, July 2021.\n",
    "    7) elevation: \n",
    "#### OBSTACLE\n",
    "    8) flood: FATHOM. 1-in-10, 20, and 50 year flood return periods. These are combined pluvial and fluvial (undefended) flood layers whereby whichever flood level was higher was retained.\n",
    "#### INTERVENTION\n",
    "    9) upcoming road projects: AGEROUTE interventions separate from the World Bank-financed project\n",
    "    10) targeted road projects: critical road segments identified by this accessibility model's baseline outputs\n",
    "\n",
    "\n",
    "### Model design\n",
    "#### Basic formula: \n",
    "    (a) Off-road driving time from origin to closest road node\n",
    "    +\n",
    "    (b) Driving time from road node in (a) to a destination (closeness measured by road segments speeds)\n",
    "\n",
    "#### Model origin & destination (OD) sets:\n",
    "    A)\tTravel time from an area that has agricultural value/potential to the nearest processing hub (if provided).\n",
    "    B)\tTravel time from an area that has agricultural value/potential to the nearest larger settlement, (“larger” settlement identified using a case-appropriate population metric to be determined).\n",
    "    C)\tTravel time from an area that has agricultural value/potential to the nearest market.\n",
    "    D)\tTravel time from all settlements to the nearest market.\n",
    "    E)\tTravel time from larger settlements to the nearest market.\n",
    "\n",
    "#### Before/after scenarios for each OD set:\n",
    "    1)\tPre-project, baseline weather: No inclement weather. Road network status as of November 2021.\n",
    "    2)\tPre-project, flood: 1-in-10, 1-in-20 and 1-in-50 year flood return period. Road network status as of November 2021.\n",
    "    3)\tPost-project, baseline weather: No inclement weather. Road network status if X number of critical road segments to high-value areas are protected (i.e., their travel times reduced).\n",
    "    4)\tPost-project, flood: 1-in-10 year flood return period. Road network status if X number of critical road segments to high-value areas are protected (i.e., their travel times reduced).\n",
    "\n",
    "#### Notes:\n",
    "    --Destinations are expected to be proximal to the road network, so no measure is taken between road and destination.\n",
    "    --All travel times will be assigned to each model variation’s point of origin; the aggregation up to admin areas is possible if desired.\n",
    "    --Obstacles & interventions modify the road segment speeds. Basic formula is then applied to the modified road network.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Prep workspace"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\wb527163\\\\GEO-Cdrive-Grace'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os, sys\n",
    "GISFolder = os.getcwd()\n",
    "GISFolder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Note: needed to reinstall rtree due to geopandas import error. Did so in the console. \n",
    "# conda install -c conda-forge rtree=0.9.3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load and filter osm network (step 1)\n",
    "import geopandas as gpd\n",
    "from geopandas import GeoDataFrame\n",
    "import pandas as pd\n",
    "import time\n",
    "sys.path.append(r\"C:\\Users\\wb527163\\.conda\\envs\\geo\\GOSTnets-master\")\n",
    "import GOSTnets as gn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import networkx as nx\n",
    "import osmnx as ox\n",
    "import numpy as np\n",
    "import rasterio as rt\n",
    "import shapely\n",
    "from shapely.geometry import Point, box, Polygon\n",
    "from shapely.ops import unary_union, linemerge, transform\n",
    "from shapely.wkt import loads\n",
    "from shapely import wkt\n",
    "from shapely.geometry import LineString, MultiLineString, Point\n",
    "import peartree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#### Might not use these\n",
    "import fiona\n",
    "from osgeo import gdal\n",
    "import importlib\n",
    "import matplotlib.pyplot as plt\n",
    "import subprocess, glob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from GOSTnets import load_osm as losm\n",
    "import importlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\wb527163\\\\GEO-Cdrive-Grace\\\\SEN-Cdrive'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pth = os.path.join(GISFolder, \"SEN-Cdrive\") # Personal folder system for running model.\n",
    "pth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\wb527163\\\\GEO-Cdrive-Grace\\\\SEN-Cdrive\\\\outputs'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "out_pth = os.path.join(GISFolder, \"SEN-Cdrive\\outputs\") # For storing intermediate outputs from the model.\n",
    "out_pth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'R:\\\\SEN\\\\GEO'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "team_pth = 'R:\\\\SEN\\\\GEO' # This is where the unmodified input data is stored. Finalized outputs also housed here.\n",
    "team_pth"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Prepare OSM driving network.\n",
    "Travel measured in length (meters)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   id       bound                                           geometry\n",
      "0   0  senegambia  POLYGON ((-16.79591 16.13764, -16.44946 16.908...\n"
     ]
    }
   ],
   "source": [
    "# Earlier, created an approximate bounding area which includes parts of neighboring countries and all of The Gambia.\n",
    "aoi = gpd.read_file(\"R:/SEN/GEO/Roads/bounding_senegam_buffered.shp\") # AOI = Area of Interest\n",
    "print(aoi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
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      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x1ded87dc100>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bound = aoi.geometry.iloc[0]\n",
    "bound # Check that it's shaped like Senegal & Gambia."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Geographic 2D CRS: EPSG:4326>\n",
       "Name: WGS 84\n",
       "Axis Info [ellipsoidal]:\n",
       "- Lat[north]: Geodetic latitude (degree)\n",
       "- Lon[east]: Geodetic longitude (degree)\n",
       "Area of Use:\n",
       "- name: World.\n",
       "- bounds: (-180.0, -90.0, 180.0, 90.0)\n",
       "Datum: World Geodetic System 1984 ensemble\n",
       "- Ellipsoid: WGS 84\n",
       "- Prime Meridian: Greenwich"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aoi.crs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start: Thu Jan  6 12:19:39 2022\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\wb527163\\.conda\\envs\\geo\\lib\\site-packages\\osmnx-1.1.1-py3.8.egg\\osmnx\\utils_geo.py:335: ShapelyDeprecationWarning: Iteration over multi-part geometries is deprecated and will be removed in Shapely 2.0. Use the `geoms` property to access the constituent parts of a multi-part geometry.\n",
      "  for polygon in geometry:\n",
      "C:\\Users\\wb527163\\.conda\\envs\\geo\\lib\\site-packages\\osmnx-1.1.1-py3.8.egg\\osmnx\\utils_geo.py:426: ShapelyDeprecationWarning: Iteration over multi-part geometries is deprecated and will be removed in Shapely 2.0. Use the `geoms` property to access the constituent parts of a multi-part geometry.\n",
      "  for poly in multipoly:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "end: Thu Jan  6 12:38:58 2022\n",
      "\n",
      "--- processing complete\n"
     ]
    }
   ],
   "source": [
    "print('start: %s\\n' % time.ctime())\n",
    "gDrive = ox.graph_from_polygon(bound, network_type= 'all', simplify=False, clean_periphery=False)\n",
    "# Note: length is measured in meters.\n",
    "print('\\nend: %s' % time.ctime())\n",
    "print('\\n--- processing complete')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "gn.save(gDrive, 'SEN-Cdrive/gDrive', '', edges = True, nodes = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "(358284990, 1888282175, {'osmid': 178482063, 'highway': 'tertiary', 'oneway': False, 'length': 12.832})\n"
     ]
    }
   ],
   "source": [
    "gn.example_edge(gDrive, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# If restarting, reload.\n",
    "gDrive = nx.read_gpickle(\"SEN-Cdrive/gDrive.pickle\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>366052716</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>residential</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LINESTRING (-17.48451 14.72456, -17.48521 14.7...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6203380</th>\n",
       "      <td>9246539942</td>\n",
       "      <td>3700438702</td>\n",
       "      <td>0.846</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>366052716</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>residential</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LINESTRING (-17.48451 14.72456, -17.48451 14.7...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6203381</th>\n",
       "      <td>9276108905</td>\n",
       "      <td>6048975958</td>\n",
       "      <td>171.902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>177950649</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>secondary</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Route de l'Aeroport</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LINESTRING (-17.50499 14.74971, -17.50357 14.7...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6203382</th>\n",
       "      <td>9276108905</td>\n",
       "      <td>7493947541</td>\n",
       "      <td>16.686</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>801279967</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>residential</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LINESTRING (-17.50499 14.74971, -17.50490 14.7...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6203383 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             stnode     endnode   length area junction tunnel      osmid  \\\n",
       "0         358284990  5217543379   33.127  NaN      NaN    NaN   59618174   \n",
       "1         358284990  1888282175   12.832  NaN      NaN    NaN  178482063   \n",
       "2         358284990  5329792467   48.781  NaN      NaN    NaN  178482063   \n",
       "3         358284993  1888282575  126.577  NaN      NaN    NaN  178470940   \n",
       "4         358284993  1888198886  120.578  NaN      NaN    NaN  178470940   \n",
       "...             ...         ...      ...  ...      ...    ...        ...   \n",
       "6203378  9246539941  9246539942   76.742  NaN      NaN    NaN  366052716   \n",
       "6203379  9246539942  9246539941   76.742  NaN      NaN    NaN  366052716   \n",
       "6203380  9246539942  3700438702    0.846  NaN      NaN    NaN  366052716   \n",
       "6203381  9276108905  6048975958  171.902  NaN      NaN    NaN  177950649   \n",
       "6203382  9276108905  7493947541   16.686  NaN      NaN    NaN  801279967   \n",
       "\n",
       "        access maxspeed  oneway service width       highway lanes landuse  \\\n",
       "0          NaN      NaN   False     NaN   NaN  unclassified   NaN     NaN   \n",
       "1          NaN      NaN   False     NaN   NaN      tertiary   NaN     NaN   \n",
       "2          NaN      NaN   False     NaN   NaN      tertiary   NaN     NaN   \n",
       "3          NaN      NaN   False     NaN   NaN      tertiary   NaN     NaN   \n",
       "4          NaN      NaN   False     NaN   NaN      tertiary   NaN     NaN   \n",
       "...        ...      ...     ...     ...   ...           ...   ...     ...   \n",
       "6203378    NaN      NaN   False     NaN   NaN   residential   NaN     NaN   \n",
       "6203379    NaN      NaN   False     NaN   NaN   residential   NaN     NaN   \n",
       "6203380    NaN      NaN   False     NaN   NaN   residential   NaN     NaN   \n",
       "6203381    NaN      NaN    True     NaN   NaN     secondary     2     NaN   \n",
       "6203382    NaN      NaN   False     NaN   NaN   residential   NaN     NaN   \n",
       "\n",
       "        bridge                 name    ref  \\\n",
       "0          NaN                D 523  D 523   \n",
       "1          NaN                  NaN    NaN   \n",
       "2          NaN                  NaN    NaN   \n",
       "3          NaN                  NaN    NaN   \n",
       "4          NaN                  NaN    NaN   \n",
       "...        ...                  ...    ...   \n",
       "6203378    NaN                  NaN    NaN   \n",
       "6203379    NaN                  NaN    NaN   \n",
       "6203380    NaN                  NaN    NaN   \n",
       "6203381    NaN  Route de l'Aeroport    NaN   \n",
       "6203382    NaN                  NaN    NaN   \n",
       "\n",
       "                                                  geometry  \n",
       "0        LINESTRING (-12.32347 12.38119, -12.32368 12.3...  \n",
       "1        LINESTRING (-12.32347 12.38119, -12.32351 12.3...  \n",
       "2        LINESTRING (-12.32347 12.38119, -12.32317 12.3...  \n",
       "3        LINESTRING (-12.28135 12.41380, -12.28205 12.4...  \n",
       "4        LINESTRING (-12.28135 12.41380, -12.28061 12.4...  \n",
       "...                                                    ...  \n",
       "6203378  LINESTRING (-17.48521 14.72445, -17.48451 14.7...  \n",
       "6203379  LINESTRING (-17.48451 14.72456, -17.48521 14.7...  \n",
       "6203380  LINESTRING (-17.48451 14.72456, -17.48451 14.7...  \n",
       "6203381  LINESTRING (-17.50499 14.74971, -17.50357 14.7...  \n",
       "6203382  LINESTRING (-17.50499 14.74971, -17.50490 14.7...  \n",
       "\n",
       "[6203383 rows x 19 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gDrive_edge = gn.edge_gdf_from_graph(gDrive)\n",
    "gDrive_node = gn.edge_gdf_from_graph(gDrive)\n",
    "gDrive_edge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
      "RangeIndex: 6203383 entries, 0 to 6203382\n",
      "Data columns (total 20 columns):\n",
      " #   Column    Dtype   \n",
      "---  ------    -----   \n",
      " 0   ID_graph  int64   \n",
      " 1   stnode    int64   \n",
      " 2   endnode   int64   \n",
      " 3   length    float64 \n",
      " 4   area      object  \n",
      " 5   junction  object  \n",
      " 6   tunnel    object  \n",
      " 7   osmid     int64   \n",
      " 8   access    object  \n",
      " 9   maxspeed  object  \n",
      " 10  oneway    bool    \n",
      " 11  service   object  \n",
      " 12  width     object  \n",
      " 13  highway   object  \n",
      " 14  lanes     object  \n",
      " 15  landuse   object  \n",
      " 16  bridge    object  \n",
      " 17  name      object  \n",
      " 18  ref       object  \n",
      " 19  geometry  geometry\n",
      "dtypes: bool(1), float64(1), geometry(1), int64(4), object(13)\n",
      "memory usage: 905.1+ MB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "gDrive_edge.reset_index(inplace=True) # To create unique ID and to avoid:  ValueError: cannot reindex from a duplicate axis.\n",
    "gDrive_edge.rename(columns={'index': 'ID_graph'}, inplace=True)\n",
    "print(gDrive_edge.info())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Convert the graph to time, then save to file. Edges contain the time measure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "speed_dict = {\n",
    "                'residential': 40,  # kmph\n",
    "                'primary': 80, \n",
    "                'primary_link':60,\n",
    "                'trunk': 80,\n",
    "                'trunk_link':60,\n",
    "                'secondary': 70, \n",
    "                'secondary_link':50,\n",
    "                'service': 40,\n",
    "                'tertiary':60,\n",
    "                'tertiary_link': 40,\n",
    "                'unclassified':50, \n",
    "                'road':50,\n",
    "                'track':20,\n",
    "                'path':4.5,\n",
    "                }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start: Thu Jan  6 22:06:59 2022\n",
      "\n",
      "\n",
      "end: Thu Jan  6 22:09:50 2022\n",
      "\n",
      "--- processing complete\n"
     ]
    }
   ],
   "source": [
    "print('start: %s\\n' % time.ctime())\n",
    "gTime = gn.convert_network_to_time(gDrive, distance_tag = 'length', graph_type='drive', speed_dict = speed_dict)\n",
    "# Note: time is in seconds.\n",
    "print('\\nend: %s' % time.ctime())\n",
    "print('\\n--- processing complete')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compare the roads before and after converting to time to make sure the time looks accurate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No time variable\n",
      "\n",
      "(358284990, 5217543379, {'osmid': 59618174, 'ref': 'D 523', 'name': 'D 523', 'highway': 'unclassified', 'oneway': False, 'length': 33.127})\n",
      "(358284990, 1888282175, {'osmid': 178482063, 'highway': 'tertiary', 'oneway': False, 'length': 12.832})\n",
      "None\n",
      "Time variable\n",
      "\n",
      "(358284990, 5217543379, {'osmid': 59618174, 'ref': 'D 523', 'name': 'D 523', 'highway': 'unclassified', 'oneway': False, 'length': 33.127, 'time': 2.3851440000000004, 'mode': 'drive'})\n",
      "(358284990, 1888282175, {'osmid': 178482063, 'highway': 'tertiary', 'oneway': False, 'length': 12.832, 'time': 0.76992, 'mode': 'drive'})\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print(\"No time variable\\n\")\n",
    "print(gn.example_edge(gDrive, 2))\n",
    "print(\"\\n\\nTime variable\\n\") \n",
    "print(gn.example_edge(gTime, 2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Ensure all targeted roads start as \"track\" class of road (except Mboro-Diogo), per client advice. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 59 entries, 0 to 58\n",
      "Data columns (total 35 columns):\n",
      " #   Column      Non-Null Count  Dtype  \n",
      "---  ------      --------------  -----  \n",
      " 0   id          59 non-null     object \n",
      " 1   @id         59 non-null     object \n",
      " 2   highway     59 non-null     object \n",
      " 3   name        5 non-null      object \n",
      " 4   oneway      26 non-null     object \n",
      " 5   smoothness  2 non-null      object \n",
      " 6   surface     48 non-null     object \n",
      " 7   access      0 non-null      float64\n",
      " 8   note        0 non-null      float64\n",
      " 9   source      0 non-null      float64\n",
      " 10  tracktype   17 non-null     object \n",
      " 11  bridge      0 non-null      float64\n",
      " 12  layer       0 non-null      float64\n",
      " 13  embankment  0 non-null      float64\n",
      " 14  ref         3 non-null      object \n",
      " 15  lanes       21 non-null     float64\n",
      " 16  maxspeed    7 non-null      float64\n",
      " 17  lit         0 non-null      float64\n",
      " 18  ford        0 non-null      float64\n",
      " 19  fixme       0 non-null      float64\n",
      " 20  junction    0 non-null      float64\n",
      " 21  intermitte  0 non-null      float64\n",
      " 22  seasonal    0 non-null      float64\n",
      " 23  route       0 non-null      float64\n",
      " 24  type        0 non-null      float64\n",
      " 25  old_ref     0 non-null      float64\n",
      " 26  waterway    0 non-null      float64\n",
      " 27  source_dat  0 non-null      float64\n",
      " 28  @relations  0 non-null      float64\n",
      " 29  foot        0 non-null      float64\n",
      " 30  horse       0 non-null      float64\n",
      " 31  int_ref     0 non-null      float64\n",
      " 32  nat_ref     0 non-null      float64\n",
      " 33  is_in_coun  0 non-null      float64\n",
      " 34  path        58 non-null     object \n",
      "dtypes: float64(25), object(10)\n",
      "memory usage: 16.3+ KB\n",
      "None\n",
      "\n",
      "[370283854, 363308324, 404254217, 574572341, 204942787, 370284428, 204942756, 370292472, 244533082, 262572836, 254170696, 907912593, 363308325, 370283898, 363308369, 253499835, 574572353, 254170693, 152277056, 370225228, 409556978, 370565621, 907912597, 248919216, 370228031, 320413364, 320413357, 370227790, 639434724, 370317360, 907912605, 891279918, 408531179, 370314089, 370314090, 367580491, 370320271, 376580111, 370319685, 907912636, 573703556, 562906754, 376580122, 573703557, 157254861, 573703554, 573703555, 409461642, 573703553, 370320332, 370320366, 907912644, 376585119, 907912645, 573703560, 376585145, 370280771, 574572365]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\wb527163\\AppData\\Local\\Temp/ipykernel_7412/529551811.py:5: FutureWarning: The default value of regex will change from True to False in a future version.\n",
      "  targeted['id'] = targeted['id'].str.replace(r'\\D', '').astype(int)\n"
     ]
    }
   ],
   "source": [
    "targeted = os.path.join(pth, \"targeted_roads_osmid.csv\")\n",
    "targeted = pd.read_csv(targeted)\n",
    "print(targeted.info(), end=\"\\n\\n\")\n",
    "targeted = targeted[['id']]\n",
    "targeted['id'] = targeted['id'].str.replace(r'\\D', '').astype(int)\n",
    "targeted = targeted.drop([targeted.index[49]]) # Mboro-Diogo stays the same.\n",
    "target_list = list(targeted.id)\n",
    "print(target_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "edges = gn.edge_gdf_from_graph(gTime) \n",
    "nodes = gn.node_gdf_from_graph(gTime)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
      "RangeIndex: 6203383 entries, 0 to 6203382\n",
      "Data columns (total 21 columns):\n",
      " #   Column    Dtype   \n",
      "---  ------    -----   \n",
      " 0   stnode    int64   \n",
      " 1   endnode   int64   \n",
      " 2   length    float64 \n",
      " 3   width     object  \n",
      " 4   area      object  \n",
      " 5   highway   object  \n",
      " 6   ref       object  \n",
      " 7   maxspeed  object  \n",
      " 8   time      float64 \n",
      " 9   name      object  \n",
      " 10  mode      object  \n",
      " 11  lanes     object  \n",
      " 12  tunnel    object  \n",
      " 13  bridge    object  \n",
      " 14  junction  object  \n",
      " 15  landuse   object  \n",
      " 16  access    object  \n",
      " 17  osmid     int64   \n",
      " 18  service   object  \n",
      " 19  oneway    bool    \n",
      " 20  geometry  geometry\n",
      "dtypes: bool(1), float64(2), geometry(1), int64(3), object(14)\n",
      "memory usage: 952.5+ MB\n",
      "None\n",
      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
      "Int64Index: 2871182 entries, 0 to 2871181\n",
      "Data columns (total 6 columns):\n",
      " #   Column    Dtype   \n",
      "---  ------    -----   \n",
      " 0   node_ID   int64   \n",
      " 1   highway   object  \n",
      " 2   ref       object  \n",
      " 3   y         float64 \n",
      " 4   x         float64 \n",
      " 5   geometry  geometry\n",
      "dtypes: float64(2), geometry(1), int64(1), object(2)\n",
      "memory usage: 153.3+ MB\n",
      "None\n",
      "residential       2101551\n",
      "unclassified      1718129\n",
      "track             1562686\n",
      "tertiary           255529\n",
      "path               199364\n",
      "service            156981\n",
      "secondary           69696\n",
      "trunk               49430\n",
      "primary             46138\n",
      "footway             31714\n",
      "road                 2558\n",
      "motorway             2442\n",
      "motorway_link        2201\n",
      "trunk_link           1218\n",
      "cycleway             1188\n",
      "pedestrian            928\n",
      "secondary_link        491\n",
      "tertiary_link         275\n",
      "primary_link          232\n",
      "living_street         224\n",
      "steps                 214\n",
      "bridleway             112\n",
      "rest_area              54\n",
      "services               28\n",
      "Name: highway, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(edges.info(), end=\"\\n\")\n",
    "print(nodes.info(), end=\"\\n\") \n",
    "print(edges['highway'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6296\n"
     ]
    }
   ],
   "source": [
    "print(sum(edges['osmid'].isin(target_list)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original\n",
      "\n",
      "6.53490893401129\n",
      "\n",
      "\n",
      "According to govt records\n",
      "\n",
      "6.548675420775734\n"
     ]
    }
   ],
   "source": [
    "print(\"Original\\n\")\n",
    "print(edges['time'].mean())\n",
    "edges.loc[edges['osmid'].isin(target_list),\n",
    "          'time'] = (edges['length']/1000) / 20 * 60 * 60 # Length over speed (20kmph), converted to seconds.\n",
    "print(\"\\n\\nAccording to govt records\\n\")\n",
    "print(edges['time'].mean()) # Making sure this changed the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "edges.to_csv(os.path.join(out_pth, \"gTime_edge_pre-project.csv\"))\n",
    "nodes.to_csv(os.path.join(out_pth, \"gTime_node_pre-project.csv\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\wb527163\\.conda\\envs\\geo\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3444: DtypeWarning: Columns (3) have mixed types.Specify dtype option on import or set low_memory=False.\n",
      "  exec(code_obj, self.user_global_ns, self.user_ns)\n",
      "C:\\Users\\wb527163\\.conda\\envs\\geo\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3444: DtypeWarning: Columns (4,5,7,8,10,13,14,15,16,17,19) have mixed types.Specify dtype option on import or set low_memory=False.\n",
      "  exec(code_obj, self.user_global_ns, self.user_ns)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2871182 entries, 0 to 2871181\n",
      "Data columns (total 7 columns):\n",
      " #   Column      Dtype  \n",
      "---  ------      -----  \n",
      " 0   Unnamed: 0  int64  \n",
      " 1   node_ID     int64  \n",
      " 2   highway     object \n",
      " 3   ref         object \n",
      " 4   y           float64\n",
      " 5   x           float64\n",
      " 6   geometry    object \n",
      "dtypes: float64(2), int64(2), object(3)\n",
      "memory usage: 153.3+ MB\n",
      "None\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 6203383 entries, 0 to 6203382\n",
      "Data columns (total 22 columns):\n",
      " #   Column      Dtype  \n",
      "---  ------      -----  \n",
      " 0   Unnamed: 0  int64  \n",
      " 1   stnode      int64  \n",
      " 2   endnode     int64  \n",
      " 3   length      float64\n",
      " 4   width       object \n",
      " 5   area        object \n",
      " 6   highway     object \n",
      " 7   ref         object \n",
      " 8   maxspeed    object \n",
      " 9   time        float64\n",
      " 10  name        object \n",
      " 11  mode        object \n",
      " 12  lanes       float64\n",
      " 13  tunnel      object \n",
      " 14  bridge      object \n",
      " 15  junction    object \n",
      " 16  landuse     object \n",
      " 17  access      object \n",
      " 18  osmid       int64  \n",
      " 19  service     object \n",
      " 20  oneway      bool   \n",
      " 21  geometry    object \n",
      "dtypes: bool(1), float64(3), int64(4), object(14)\n",
      "memory usage: 999.8+ MB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "# Converting back to graph can cause memory errors. Suggested to restart the kernel and reload the nodes and revised edges at this point.\n",
    "nodes = os.path.join(out_pth, \"gTime_node_pre-project.csv\")\n",
    "nodes = pd.read_csv(nodes)\n",
    "edges = os.path.join(out_pth, \"gTime_edge_pre-project.csv\")\n",
    "edges = pd.read_csv(edges)\n",
    "print(nodes.info())\n",
    "print(edges.info())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start: Thu Jan  6 23:08:21 2022\n",
      "\n",
      "(358284990, 5217543379, {'geometry': <shapely.geometry.linestring.LineString object at 0x000001C1233B0EB0>, 'Unnamed: 0': 0, 'length': 33.127, 'width': nan, 'area': nan, 'highway': 'unclassified', 'ref': 'D 523', 'maxspeed': nan, 'time': 2.3851440000000004, 'name': 'D 523', 'mode': 'drive', 'lanes': nan, 'tunnel': nan, 'bridge': nan, 'junction': nan, 'landuse': nan, 'access': nan, 'osmid': 59618174, 'service': nan, 'oneway': False})\n",
      "(358284990, 1888282175, {'geometry': <shapely.geometry.linestring.LineString object at 0x000001C1233B0E80>, 'Unnamed: 0': 1, 'length': 12.832, 'width': nan, 'area': nan, 'highway': 'tertiary', 'ref': nan, 'maxspeed': nan, 'time': 0.76992, 'name': nan, 'mode': 'drive', 'lanes': nan, 'tunnel': nan, 'bridge': nan, 'junction': nan, 'landuse': nan, 'access': nan, 'osmid': 178482063, 'service': nan, 'oneway': False})\n",
      "(358284990, 5329792467, {'geometry': <shapely.geometry.linestring.LineString object at 0x000001C0ECA03CA0>, 'Unnamed: 0': 2, 'length': 48.781, 'width': nan, 'area': nan, 'highway': 'tertiary', 'ref': nan, 'maxspeed': nan, 'time': 2.92686, 'name': nan, 'mode': 'drive', 'lanes': nan, 'tunnel': nan, 'bridge': nan, 'junction': nan, 'landuse': nan, 'access': nan, 'osmid': 178482063, 'service': nan, 'oneway': False})\n",
      "(5217543379, 358284990, {'geometry': <shapely.geometry.linestring.LineString object at 0x000001C28C7E9DC0>, 'Unnamed: 0': 31397, 'length': 33.127, 'width': nan, 'area': nan, 'highway': 'unclassified', 'ref': 'D 523', 'maxspeed': nan, 'time': 2.3851440000000004, 'name': 'D 523', 'mode': 'drive', 'lanes': nan, 'tunnel': nan, 'bridge': nan, 'junction': nan, 'landuse': nan, 'access': nan, 'osmid': 59618174, 'service': nan, 'oneway': False})\n",
      "(5217543379, 5329928981, {'geometry': <shapely.geometry.linestring.LineString object at 0x000001C28C7E9E20>, 'Unnamed: 0': 31398, 'length': 17.124, 'width': nan, 'area': nan, 'highway': 'unclassified', 'ref': 'D 523', 'maxspeed': nan, 'time': 1.232928, 'name': 'D 523', 'mode': 'drive', 'lanes': nan, 'tunnel': nan, 'bridge': nan, 'junction': nan, 'landuse': nan, 'access': nan, 'osmid': 59618174, 'service': nan, 'oneway': False})\n",
      "(1888282175, 1888282174, {'geometry': <shapely.geometry.linestring.LineString object at 0x000001C28BCB6160>, 'Unnamed: 0': 1993, 'length': 15.537, 'width': nan, 'area': nan, 'highway': 'tertiary', 'ref': nan, 'maxspeed': nan, 'time': 0.9322200000000002, 'name': nan, 'mode': 'drive', 'lanes': nan, 'tunnel': nan, 'bridge': nan, 'junction': nan, 'landuse': nan, 'access': nan, 'osmid': 178482063, 'service': nan, 'oneway': False})\n",
      "(1888282175, 358284990, {'geometry': <shapely.geometry.linestring.LineString object at 0x000001C28BCB61C0>, 'Unnamed: 0': 1994, 'length': 12.832, 'width': nan, 'area': nan, 'highway': 'tertiary', 'ref': nan, 'maxspeed': nan, 'time': 0.76992, 'name': nan, 'mode': 'drive', 'lanes': nan, 'tunnel': nan, 'bridge': nan, 'junction': nan, 'landuse': nan, 'access': nan, 'osmid': 178482063, 'service': nan, 'oneway': False})\n",
      "(5329792467, 358284990, {'geometry': <shapely.geometry.linestring.LineString object at 0x000001C28C83DD00>, 'Unnamed: 0': 32361, 'length': 48.781, 'width': nan, 'area': nan, 'highway': 'tertiary', 'ref': nan, 'maxspeed': nan, 'time': 2.92686, 'name': nan, 'mode': 'drive', 'lanes': nan, 'tunnel': nan, 'bridge': nan, 'junction': nan, 'landuse': nan, 'access': nan, 'osmid': 178482063, 'service': nan, 'oneway': False})\n",
      "(5329792467, 1888282177, {'geometry': <shapely.geometry.linestring.LineString object at 0x000001C28C83DD60>, 'Unnamed: 0': 32362, 'length': 46.05, 'width': nan, 'area': nan, 'highway': 'tertiary', 'ref': nan, 'maxspeed': nan, 'time': 2.7629999999999995, 'name': nan, 'mode': 'drive', 'lanes': nan, 'tunnel': nan, 'bridge': nan, 'junction': nan, 'landuse': nan, 'access': nan, 'osmid': 178482063, 'service': nan, 'oneway': False})\n",
      "(358284993, 1888282575, {'geometry': <shapely.geometry.linestring.LineString object at 0x000001C0ECA038E0>, 'Unnamed: 0': 3, 'length': 126.577, 'width': nan, 'area': nan, 'highway': 'tertiary', 'ref': nan, 'maxspeed': nan, 'time': 7.59462, 'name': nan, 'mode': 'drive', 'lanes': nan, 'tunnel': nan, 'bridge': nan, 'junction': nan, 'landuse': nan, 'access': nan, 'osmid': 178470940, 'service': nan, 'oneway': False})\n",
      "\n",
      "end: Thu Jan  6 23:29:47 2022\n",
      "\n",
      "--- processing complete\n"
     ]
    }
   ],
   "source": [
    "print('start: %s\\n' % time.ctime())\n",
    "gTime = gn.edges_and_nodes_gdf_to_graph(nodes, edges, node_tag='node_ID', u_tag='stnode', v_tag='endnode', geometry_tag='geometry')\n",
    "gn.example_edge(gTime, 10)\n",
    "print('\\nend: %s' % time.ctime())\n",
    "print('\\n--- processing complete')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save a pickle of the graph and csvs of the edges and nodes with the time measure for easy recall.\n",
    "gn.save(gTime, 'gTime_pre-project', out_pth, edges = False, nodes = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Origins and destinations\n",
    "\n",
    "Measure distance from origin/destination to nearest node and save to file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#%% If starting new session, reload graph from file\n",
    "gTime = nx.read_gpickle(\"SEN-Cdrive/outputs/gTime_pre-project.pickle\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
      "RangeIndex: 58 entries, 0 to 57\n",
      "Data columns (total 13 columns):\n",
      " #   Column      Non-Null Count  Dtype   \n",
      "---  ------      --------------  -----   \n",
      " 0   Unnamed_ 0  58 non-null     int64   \n",
      " 1   mgrs_code   58 non-null     object  \n",
      " 2   type        58 non-null     object  \n",
      " 3   AREA_GEO    58 non-null     float64 \n",
      " 4   SUM         58 non-null     float64 \n",
      " 5   Total_Driv  57 non-null     float64 \n",
      " 6   WP_dens     58 non-null     float64 \n",
      " 7   urb         58 non-null     int64   \n",
      " 8   hd_urb      58 non-null     int64   \n",
      " 9   Urb_class   58 non-null     int64   \n",
      " 10  Shape_Leng  58 non-null     float64 \n",
      " 11  Shape_Area  58 non-null     float64 \n",
      " 12  geometry    58 non-null     geometry\n",
      "dtypes: float64(6), geometry(1), int64(4), object(2)\n",
      "memory usage: 6.0+ KB\n",
      "None\n",
      "\n",
      "\n",
      "\n",
      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
      "RangeIndex: 125886 entries, 0 to 125885\n",
      "Data columns (total 7 columns):\n",
      " #   Column      Non-Null Count   Dtype   \n",
      "---  ------      --------------   -----   \n",
      " 0   Unnamed_ 0  125886 non-null  int64   \n",
      " 1   mgrs_code   125886 non-null  object  \n",
      " 2   type        125886 non-null  object  \n",
      " 3   GlobalID    125886 non-null  object  \n",
      " 4   Shape_Leng  125886 non-null  float64 \n",
      " 5   Shape_Area  125886 non-null  float64 \n",
      " 6   geometry    125886 non-null  geometry\n",
      "dtypes: float64(2), geometry(1), int64(1), object(3)\n",
      "memory usage: 6.7+ MB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "HDurban_pt = gpd.read_file(\"SEN-Cdrive/outputs/HDurban_pt.shp\")\n",
    "hamlet_pt = gpd.read_file(\"SEN-Cdrive/outputs/hamlet_pt.shp\")\n",
    "HDurban_pt = HDurban_pt.to_crs(\"EPSG:4326\")\n",
    "hamlet_pt = hamlet_pt.to_crs(\"EPSG:4326\")\n",
    "print(HDurban_pt.info())\n",
    "print(\"\\n\\n\")\n",
    "print(hamlet_pt.info())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start: Fri Jan  7 11:10:53 2022\n",
      "\n",
      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
      "RangeIndex: 13941124 entries, 0 to 13941123\n",
      "Data columns (total 9 columns):\n",
      " #   Column    Dtype   \n",
      "---  ------    -----   \n",
      " 0   ID_ag     int64   \n",
      " 1   ID_spam   float64 \n",
      " 2   grid_val  float64 \n",
      " 3   ID_LC     float64 \n",
      " 4   val       float64 \n",
      " 5   x         float64 \n",
      " 6   y         float64 \n",
      " 7   NSnomax   float64 \n",
      " 8   geometry  geometry\n",
      "dtypes: float64(7), geometry(1), int64(1)\n",
      "memory usage: 957.3 MB\n",
      "\n",
      "end: Fri Jan  7 11:41:56 2022\n",
      "\n",
      "--- processing complete\n"
     ]
    }
   ],
   "source": [
    "print('start: %s\\n' % time.ctime())\n",
    "agriculture = gpd.read_file(\"R:\\SEN\\GEO\\Team\\Projects\\Sen_TransportOV\\SEN_TransportOV.gdb\", layer=\"agriculture_allorigins\")\n",
    "agriculture = agriculture.to_crs('EPSG:4326')\n",
    "agriculture.info()\n",
    "print('\\nend: %s' % time.ctime())\n",
    "print('\\n--- processing complete')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th>mgrs_code</th>\n",
       "      <th>type</th>\n",
       "      <th>AREA_GEO</th>\n",
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       "      <td>4124.872441</td>\n",
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       "      <td>bua</td>\n",
       "      <td>81.242354</td>\n",
       "      <td>3.382677e+05</td>\n",
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       "      <td>bua</td>\n",
       "      <td>42.134069</td>\n",
       "      <td>2.755403e+05</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1.070058</td>\n",
       "      <td>3.528274e-03</td>\n",
       "      <td>POINT (-16.07613 14.16038)</td>\n",
       "      <td>2201506815</td>\n",
       "      <td>55.754910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>bua</td>\n",
       "      <td>11.123881</td>\n",
       "      <td>5.186398e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4662.399756</td>\n",
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       "      <td>1</td>\n",
       "      <td>2</td>\n",
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       "      <td>9.311211e-04</td>\n",
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       "      <td>bua</td>\n",
       "      <td>53.453391</td>\n",
       "      <td>2.911360e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5446.539082</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1.468618</td>\n",
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       "      <td>1697006012</td>\n",
       "      <td>23.047883</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
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       "      <td>bua</td>\n",
       "      <td>226.850348</td>\n",
       "      <td>3.637718e+06</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
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       "      <td>5.826006</td>\n",
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       "      <td>bua</td>\n",
       "      <td>19.580942</td>\n",
       "      <td>8.712281e+04</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>6032060028</td>\n",
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       "      <td>1.342721e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5681.109779</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.689064</td>\n",
       "      <td>1.983306e-03</td>\n",
       "      <td>POINT (-16.22779 14.65372)</td>\n",
       "      <td>6040927878</td>\n",
       "      <td>41.930884</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>98</td>\n",
       "      <td>28PDB0443_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>196.802191</td>\n",
       "      <td>9.490037e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2575.818720</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3.094788</td>\n",
       "      <td>1.653195e-02</td>\n",
       "      <td>POINT (-15.88776 14.86030)</td>\n",
       "      <td>3449495495</td>\n",
       "      <td>28.431974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>123</td>\n",
       "      <td>28QCC4070_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>9.174147</td>\n",
       "      <td>1.077744e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>11747.618988</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.212800</td>\n",
       "      <td>7.746230e-04</td>\n",
       "      <td>POINT (-16.49043 16.00972)</td>\n",
       "      <td>3990543961</td>\n",
       "      <td>30.501908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>125</td>\n",
       "      <td>28QCC4573_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>13.701781</td>\n",
       "      <td>7.519136e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5487.706734</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.612294</td>\n",
       "      <td>1.157396e-03</td>\n",
       "      <td>POINT (-16.44247 16.04823)</td>\n",
       "      <td>8972391475</td>\n",
       "      <td>76.235638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>151</td>\n",
       "      <td>28PFA4322_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>26.974183</td>\n",
       "      <td>1.207991e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4478.321578</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.686130</td>\n",
       "      <td>2.255116e-03</td>\n",
       "      <td>POINT (-13.67026 13.77069)</td>\n",
       "      <td>3418418812</td>\n",
       "      <td>13.729478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>157</td>\n",
       "      <td>28PCC6827_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>20.814212</td>\n",
       "      <td>9.576882e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4601.126349</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.494002</td>\n",
       "      <td>1.754369e-03</td>\n",
       "      <td>POINT (-16.22514 15.62090)</td>\n",
       "      <td>1983641803</td>\n",
       "      <td>29.090625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>160</td>\n",
       "      <td>28PCU6286_04</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.105280</td>\n",
       "      <td>2.093665e+02</td>\n",
       "      <td>5.479664</td>\n",
       "      <td>6852.183502</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.021230</td>\n",
       "      <td>8.758142e-06</td>\n",
       "      <td>POINT (-16.26448 12.53737)</td>\n",
       "      <td>6014451367</td>\n",
       "      <td>61.273348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>168</td>\n",
       "      <td>28PEV0425_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.164601</td>\n",
       "      <td>2.503226e+02</td>\n",
       "      <td>5.371455</td>\n",
       "      <td>4124.872441</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.019495</td>\n",
       "      <td>1.371013e-05</td>\n",
       "      <td>POINT (-14.96104 12.89576)</td>\n",
       "      <td>6027163276</td>\n",
       "      <td>23.270139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>173</td>\n",
       "      <td>28PFA4321_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.036757</td>\n",
       "      <td>5.002239e+01</td>\n",
       "      <td>3.131679</td>\n",
       "      <td>4478.321578</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.006776</td>\n",
       "      <td>3.072012e-06</td>\n",
       "      <td>POINT (-13.66859 13.75522)</td>\n",
       "      <td>2833577858</td>\n",
       "      <td>216.111092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>174</td>\n",
       "      <td>28PBA9292_06</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.023177</td>\n",
       "      <td>1.846325e+01</td>\n",
       "      <td>13.239334</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005371</td>\n",
       "      <td>1.942589e-06</td>\n",
       "      <td>POINT (-16.92748 14.39850)</td>\n",
       "      <td>7321088861</td>\n",
       "      <td>126.948072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>175</td>\n",
       "      <td>28PBA8299_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.013923</td>\n",
       "      <td>1.655101e+01</td>\n",
       "      <td>4.715519</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.004799</td>\n",
       "      <td>1.167113e-06</td>\n",
       "      <td>POINT (-17.01607 14.46076)</td>\n",
       "      <td>6045659373</td>\n",
       "      <td>27.871739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>176</td>\n",
       "      <td>28PBB7801_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.017578</td>\n",
       "      <td>3.044826e+01</td>\n",
       "      <td>11.659853</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.004813</td>\n",
       "      <td>1.473665e-06</td>\n",
       "      <td>POINT (-17.05586 14.47764)</td>\n",
       "      <td>5528866190</td>\n",
       "      <td>64.826632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>177</td>\n",
       "      <td>28PBB8202_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.033487</td>\n",
       "      <td>3.486522e+01</td>\n",
       "      <td>7.892879</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.008101</td>\n",
       "      <td>2.807464e-06</td>\n",
       "      <td>POINT (-17.01885 14.48305)</td>\n",
       "      <td>6027939517</td>\n",
       "      <td>24.581971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>178</td>\n",
       "      <td>28PBB7902_04</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.188962</td>\n",
       "      <td>2.698936e+02</td>\n",
       "      <td>9.563365</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.030043</td>\n",
       "      <td>1.584495e-05</td>\n",
       "      <td>POINT (-17.04249 14.48473)</td>\n",
       "      <td>6031093257</td>\n",
       "      <td>273.489784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>179</td>\n",
       "      <td>28PBB8103_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.152780</td>\n",
       "      <td>2.366904e+02</td>\n",
       "      <td>9.538024</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.029995</td>\n",
       "      <td>1.281388e-05</td>\n",
       "      <td>POINT (-17.02641 14.49189)</td>\n",
       "      <td>1883155712</td>\n",
       "      <td>129.540762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>182</td>\n",
       "      <td>28PCA7866_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.009282</td>\n",
       "      <td>1.921189e+01</td>\n",
       "      <td>8.378629</td>\n",
       "      <td>6539.609258</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.003274</td>\n",
       "      <td>7.770706e-07</td>\n",
       "      <td>POINT (-16.12870 14.16324)</td>\n",
       "      <td>6026417971</td>\n",
       "      <td>287.396023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>184</td>\n",
       "      <td>28PCA8268_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.026723</td>\n",
       "      <td>3.108315e+01</td>\n",
       "      <td>5.292360</td>\n",
       "      <td>6539.609258</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.006861</td>\n",
       "      <td>2.237697e-06</td>\n",
       "      <td>POINT (-16.09028 14.18556)</td>\n",
       "      <td>6031245697</td>\n",
       "      <td>49.284838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>197</td>\n",
       "      <td>28PBB3031_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.036793</td>\n",
       "      <td>2.190752e+02</td>\n",
       "      <td>15.925017</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.007562</td>\n",
       "      <td>3.088678e-06</td>\n",
       "      <td>POINT (-17.50391 14.74632)</td>\n",
       "      <td>7493947593</td>\n",
       "      <td>15.922254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>199</td>\n",
       "      <td>28PBB9431_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.017802</td>\n",
       "      <td>3.757302e+01</td>\n",
       "      <td>6.049956</td>\n",
       "      <td>5446.539082</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.004718</td>\n",
       "      <td>1.494350e-06</td>\n",
       "      <td>POINT (-16.90908 14.74696)</td>\n",
       "      <td>1859359090</td>\n",
       "      <td>107.065710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>201</td>\n",
       "      <td>28PBB5833_07</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.044133</td>\n",
       "      <td>6.815012e+01</td>\n",
       "      <td>15.771149</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.008892</td>\n",
       "      <td>3.704665e-06</td>\n",
       "      <td>POINT (-17.23996 14.76755)</td>\n",
       "      <td>6053816462</td>\n",
       "      <td>52.284317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>202</td>\n",
       "      <td>28PBB5934_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.067703</td>\n",
       "      <td>6.689919e+01</td>\n",
       "      <td>16.463440</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.012549</td>\n",
       "      <td>5.684528e-06</td>\n",
       "      <td>POINT (-17.23392 14.77603)</td>\n",
       "      <td>6027530676</td>\n",
       "      <td>16.433933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>203</td>\n",
       "      <td>28PBB7434_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.024692</td>\n",
       "      <td>6.194532e+01</td>\n",
       "      <td>8.691752</td>\n",
       "      <td>2999.449116</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005714</td>\n",
       "      <td>2.072792e-06</td>\n",
       "      <td>POINT (-17.09863 14.77747)</td>\n",
       "      <td>2988435647</td>\n",
       "      <td>89.468532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>204</td>\n",
       "      <td>28PBB7034_07</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.112259</td>\n",
       "      <td>1.692285e+02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2999.449116</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.016761</td>\n",
       "      <td>9.425205e-06</td>\n",
       "      <td>POINT (-17.12943 14.77851)</td>\n",
       "      <td>7838754747</td>\n",
       "      <td>18.701502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>206</td>\n",
       "      <td>28PBB5835_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.022898</td>\n",
       "      <td>9.636268e+00</td>\n",
       "      <td>18.883526</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005762</td>\n",
       "      <td>1.922510e-06</td>\n",
       "      <td>POINT (-17.24231 14.78338)</td>\n",
       "      <td>6053825179</td>\n",
       "      <td>85.053967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>208</td>\n",
       "      <td>28PBB7435_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.045895</td>\n",
       "      <td>7.314733e+01</td>\n",
       "      <td>9.383175</td>\n",
       "      <td>2999.449116</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.010610</td>\n",
       "      <td>3.853366e-06</td>\n",
       "      <td>POINT (-17.09417 14.78287)</td>\n",
       "      <td>2988435792</td>\n",
       "      <td>448.688952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>209</td>\n",
       "      <td>28PBB5736_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.024862</td>\n",
       "      <td>2.599556e+01</td>\n",
       "      <td>18.950196</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005707</td>\n",
       "      <td>2.087379e-06</td>\n",
       "      <td>POINT (-17.24905 14.78994)</td>\n",
       "      <td>3036877534</td>\n",
       "      <td>83.358619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>210</td>\n",
       "      <td>28PBB6036_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.127726</td>\n",
       "      <td>2.177392e+02</td>\n",
       "      <td>18.371827</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.020240</td>\n",
       "      <td>1.072401e-05</td>\n",
       "      <td>POINT (-17.22451 14.78866)</td>\n",
       "      <td>6056472223</td>\n",
       "      <td>33.845239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>211</td>\n",
       "      <td>28PBB4937_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.064379</td>\n",
       "      <td>5.965873e+02</td>\n",
       "      <td>7.559833</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.010636</td>\n",
       "      <td>5.405016e-06</td>\n",
       "      <td>POINT (-17.33198 14.80167)</td>\n",
       "      <td>7460241128</td>\n",
       "      <td>101.985612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>213</td>\n",
       "      <td>28PBB9439_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.031203</td>\n",
       "      <td>6.360090e+01</td>\n",
       "      <td>6.593517</td>\n",
       "      <td>5446.539082</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.006431</td>\n",
       "      <td>2.620111e-06</td>\n",
       "      <td>POINT (-16.90672 14.82139)</td>\n",
       "      <td>6028595154</td>\n",
       "      <td>16.068266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>214</td>\n",
       "      <td>28PBB9140_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.016236</td>\n",
       "      <td>3.369405e+01</td>\n",
       "      <td>7.070007</td>\n",
       "      <td>5446.539082</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005212</td>\n",
       "      <td>1.363254e-06</td>\n",
       "      <td>POINT (-16.93440 14.82745)</td>\n",
       "      <td>4053739078</td>\n",
       "      <td>53.575602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>216</td>\n",
       "      <td>28PCB0753_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.038454</td>\n",
       "      <td>2.791577e+01</td>\n",
       "      <td>4.990843</td>\n",
       "      <td>4449.367491</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.007613</td>\n",
       "      <td>3.230593e-06</td>\n",
       "      <td>POINT (-16.79378 14.94819)</td>\n",
       "      <td>4071261250</td>\n",
       "      <td>101.308205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>218</td>\n",
       "      <td>28PCB6420_04</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.036734</td>\n",
       "      <td>5.628131e+01</td>\n",
       "      <td>5.323107</td>\n",
       "      <td>5681.109779</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.008031</td>\n",
       "      <td>3.082793e-06</td>\n",
       "      <td>POINT (-16.25612 14.65646)</td>\n",
       "      <td>6014815775</td>\n",
       "      <td>69.797088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>219</td>\n",
       "      <td>28PCB6622_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.042953</td>\n",
       "      <td>7.583911e+01</td>\n",
       "      <td>7.330625</td>\n",
       "      <td>5681.109779</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.008189</td>\n",
       "      <td>3.604109e-06</td>\n",
       "      <td>POINT (-16.24125 14.67499)</td>\n",
       "      <td>6024430122</td>\n",
       "      <td>65.929413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>223</td>\n",
       "      <td>28PDB0035_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.007997</td>\n",
       "      <td>1.721998e+01</td>\n",
       "      <td>12.119414</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.003240</td>\n",
       "      <td>6.713225e-07</td>\n",
       "      <td>POINT (-15.92440 14.79009)</td>\n",
       "      <td>8229317581</td>\n",
       "      <td>46.096276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>224</td>\n",
       "      <td>28PCB9937_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.066384</td>\n",
       "      <td>1.701381e+02</td>\n",
       "      <td>10.443704</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.011110</td>\n",
       "      <td>5.573913e-06</td>\n",
       "      <td>POINT (-15.93379 14.80943)</td>\n",
       "      <td>6027834438</td>\n",
       "      <td>208.336925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>226</td>\n",
       "      <td>28PDB1139_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.020778</td>\n",
       "      <td>2.617514e+01</td>\n",
       "      <td>10.677935</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005601</td>\n",
       "      <td>1.744649e-06</td>\n",
       "      <td>POINT (-15.82162 14.82663)</td>\n",
       "      <td>6024894515</td>\n",
       "      <td>194.366522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>227</td>\n",
       "      <td>28PDB1139_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.056959</td>\n",
       "      <td>8.547818e+01</td>\n",
       "      <td>10.874058</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.011433</td>\n",
       "      <td>4.783164e-06</td>\n",
       "      <td>POINT (-15.82415 14.82690)</td>\n",
       "      <td>6024894530</td>\n",
       "      <td>44.896345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>228</td>\n",
       "      <td>28PDB1139_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.020389</td>\n",
       "      <td>1.425154e+01</td>\n",
       "      <td>10.553416</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005011</td>\n",
       "      <td>1.712171e-06</td>\n",
       "      <td>POINT (-15.81977 14.82764)</td>\n",
       "      <td>6024894513</td>\n",
       "      <td>214.531196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>229</td>\n",
       "      <td>28PCB9741_04</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.028295</td>\n",
       "      <td>2.806345e+01</td>\n",
       "      <td>9.374555</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.006360</td>\n",
       "      <td>2.376282e-06</td>\n",
       "      <td>POINT (-15.95625 14.84814)</td>\n",
       "      <td>8169321141</td>\n",
       "      <td>23.619127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>230</td>\n",
       "      <td>28PDB0149_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.040534</td>\n",
       "      <td>4.546143e+01</td>\n",
       "      <td>6.408090</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.007648</td>\n",
       "      <td>3.404769e-06</td>\n",
       "      <td>POINT (-15.92044 14.91450)</td>\n",
       "      <td>8200304626</td>\n",
       "      <td>6.919737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>237</td>\n",
       "      <td>28PCC6924_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.013923</td>\n",
       "      <td>9.612921e+00</td>\n",
       "      <td>5.051494</td>\n",
       "      <td>4601.126349</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.004811</td>\n",
       "      <td>1.173189e-06</td>\n",
       "      <td>POINT (-16.21746 15.59720)</td>\n",
       "      <td>1968458114</td>\n",
       "      <td>56.750510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>244</td>\n",
       "      <td>28QCC4877_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.020283</td>\n",
       "      <td>1.279428e+01</td>\n",
       "      <td>4.109954</td>\n",
       "      <td>5487.706734</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005630</td>\n",
       "      <td>1.713057e-06</td>\n",
       "      <td>POINT (-16.41659 16.07191)</td>\n",
       "      <td>9359670710</td>\n",
       "      <td>34.348832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>274</td>\n",
       "      <td>28PFA3822_04</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.295219</td>\n",
       "      <td>5.353027e+02</td>\n",
       "      <td>4.677464</td>\n",
       "      <td>4478.321578</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.026402</td>\n",
       "      <td>2.467579e-05</td>\n",
       "      <td>POINT (-13.71478 13.77122)</td>\n",
       "      <td>6021177135</td>\n",
       "      <td>239.631441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>275</td>\n",
       "      <td>28PFA4124_01</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.101893</td>\n",
       "      <td>1.886798e+02</td>\n",
       "      <td>4.089369</td>\n",
       "      <td>4478.321578</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.013817</td>\n",
       "      <td>8.517618e-06</td>\n",
       "      <td>POINT (-13.69533 13.78327)</td>\n",
       "      <td>6027615161</td>\n",
       "      <td>29.882395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>278</td>\n",
       "      <td>28PBA8299_02</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.343841</td>\n",
       "      <td>6.259307e+02</td>\n",
       "      <td>5.307602</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.051295</td>\n",
       "      <td>2.883058e-05</td>\n",
       "      <td>POINT (-17.02074 14.46139)</td>\n",
       "      <td>6027276892</td>\n",
       "      <td>23.453107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>287</td>\n",
       "      <td>28PBB5835_05</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.308017</td>\n",
       "      <td>3.190239e+02</td>\n",
       "      <td>17.747726</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.043032</td>\n",
       "      <td>2.586476e-05</td>\n",
       "      <td>POINT (-17.24553 14.78222)</td>\n",
       "      <td>6041228287</td>\n",
       "      <td>40.406566</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>288</td>\n",
       "      <td>28PBB5936_02</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.154444</td>\n",
       "      <td>2.000646e+02</td>\n",
       "      <td>20.407153</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.026399</td>\n",
       "      <td>1.296732e-05</td>\n",
       "      <td>POINT (-17.23455 14.79591)</td>\n",
       "      <td>5536661253</td>\n",
       "      <td>24.430550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>289</td>\n",
       "      <td>28PBB6040_03</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.160911</td>\n",
       "      <td>2.663758e+02</td>\n",
       "      <td>21.657425</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.027111</td>\n",
       "      <td>1.351374e-05</td>\n",
       "      <td>POINT (-17.22539 14.83037)</td>\n",
       "      <td>7357630367</td>\n",
       "      <td>149.183632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>297</td>\n",
       "      <td>28PCB9642_02</td>\n",
       "      <td>ssa</td>\n",
       "      <td>2.337009</td>\n",
       "      <td>3.504073e+03</td>\n",
       "      <td>11.801961</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.172410</td>\n",
       "      <td>1.963038e-04</td>\n",
       "      <td>POINT (-15.96514 14.85569)</td>\n",
       "      <td>8178147277</td>\n",
       "      <td>13.505685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>298</td>\n",
       "      <td>28PDB0750_04</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.454997</td>\n",
       "      <td>5.968164e+02</td>\n",
       "      <td>11.240426</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.038288</td>\n",
       "      <td>3.822519e-05</td>\n",
       "      <td>POINT (-15.85781 14.92693)</td>\n",
       "      <td>6026834850</td>\n",
       "      <td>10.829250</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed_ 0     mgrs_code    type    AREA_GEO           SUM  Total_Driv  \\\n",
       "0            1  28PCU6189_01     bua   27.151434  1.860466e+05    0.000000   \n",
       "1            8  28PEV0625_01     bua   25.799549  1.064198e+05    0.000000   \n",
       "2           37  28PBA8597_01     bua   81.242354  3.382677e+05    0.000000   \n",
       "3           47  28PCA8365_01     bua   42.134069  2.755403e+05    0.000000   \n",
       "4           56  28PDA4058_01     bua   11.123881  5.186398e+04    0.000000   \n",
       "5           75  28PBB9234_01     bua   53.453391  2.911360e+05    0.000000   \n",
       "6           76  28PBB4632_01     bua  226.850348  3.637718e+06    0.000000   \n",
       "7           80  28PCB0453_01     bua   19.580942  8.712281e+04    0.000000   \n",
       "8           84  28PCB6720_01     bua   23.634834  1.342721e+05    0.000000   \n",
       "9           98  28PDB0443_01     bua  196.802191  9.490037e+05    0.000000   \n",
       "10         123  28QCC4070_01     bua    9.174147  1.077744e+05    0.000000   \n",
       "11         125  28QCC4573_01     bua   13.701781  7.519136e+04    0.000000   \n",
       "12         151  28PFA4322_01     bua   26.974183  1.207991e+05    0.000000   \n",
       "13         157  28PCC6827_01     bua   20.814212  9.576882e+04    0.000000   \n",
       "14         160  28PCU6286_04  hamlet    0.105280  2.093665e+02    5.479664   \n",
       "15         168  28PEV0425_03  hamlet    0.164601  2.503226e+02    5.371455   \n",
       "16         173  28PFA4321_01  hamlet    0.036757  5.002239e+01    3.131679   \n",
       "17         174  28PBA9292_06  hamlet    0.023177  1.846325e+01   13.239334   \n",
       "18         175  28PBA8299_01  hamlet    0.013923  1.655101e+01    4.715519   \n",
       "19         176  28PBB7801_01  hamlet    0.017578  3.044826e+01   11.659853   \n",
       "20         177  28PBB8202_01  hamlet    0.033487  3.486522e+01    7.892879   \n",
       "21         178  28PBB7902_04  hamlet    0.188962  2.698936e+02    9.563365   \n",
       "22         179  28PBB8103_02  hamlet    0.152780  2.366904e+02    9.538024   \n",
       "23         182  28PCA7866_01  hamlet    0.009282  1.921189e+01    8.378629   \n",
       "24         184  28PCA8268_03  hamlet    0.026723  3.108315e+01    5.292360   \n",
       "25         197  28PBB3031_01  hamlet    0.036793  2.190752e+02   15.925017   \n",
       "26         199  28PBB9431_01  hamlet    0.017802  3.757302e+01    6.049956   \n",
       "27         201  28PBB5833_07  hamlet    0.044133  6.815012e+01   15.771149   \n",
       "28         202  28PBB5934_01  hamlet    0.067703  6.689919e+01   16.463440   \n",
       "29         203  28PBB7434_03  hamlet    0.024692  6.194532e+01    8.691752   \n",
       "30         204  28PBB7034_07  hamlet    0.112259  1.692285e+02         NaN   \n",
       "31         206  28PBB5835_03  hamlet    0.022898  9.636268e+00   18.883526   \n",
       "32         208  28PBB7435_01  hamlet    0.045895  7.314733e+01    9.383175   \n",
       "33         209  28PBB5736_02  hamlet    0.024862  2.599556e+01   18.950196   \n",
       "34         210  28PBB6036_01  hamlet    0.127726  2.177392e+02   18.371827   \n",
       "35         211  28PBB4937_01  hamlet    0.064379  5.965873e+02    7.559833   \n",
       "36         213  28PBB9439_02  hamlet    0.031203  6.360090e+01    6.593517   \n",
       "37         214  28PBB9140_02  hamlet    0.016236  3.369405e+01    7.070007   \n",
       "38         216  28PCB0753_03  hamlet    0.038454  2.791577e+01    4.990843   \n",
       "39         218  28PCB6420_04  hamlet    0.036734  5.628131e+01    5.323107   \n",
       "40         219  28PCB6622_01  hamlet    0.042953  7.583911e+01    7.330625   \n",
       "41         223  28PDB0035_01  hamlet    0.007997  1.721998e+01   12.119414   \n",
       "42         224  28PCB9937_03  hamlet    0.066384  1.701381e+02   10.443704   \n",
       "43         226  28PDB1139_01  hamlet    0.020778  2.617514e+01   10.677935   \n",
       "44         227  28PDB1139_02  hamlet    0.056959  8.547818e+01   10.874058   \n",
       "45         228  28PDB1139_03  hamlet    0.020389  1.425154e+01   10.553416   \n",
       "46         229  28PCB9741_04  hamlet    0.028295  2.806345e+01    9.374555   \n",
       "47         230  28PDB0149_01  hamlet    0.040534  4.546143e+01    6.408090   \n",
       "48         237  28PCC6924_02  hamlet    0.013923  9.612921e+00    5.051494   \n",
       "49         244  28QCC4877_02  hamlet    0.020283  1.279428e+01    4.109954   \n",
       "50         274  28PFA3822_04     ssa    0.295219  5.353027e+02    4.677464   \n",
       "51         275  28PFA4124_01     ssa    0.101893  1.886798e+02    4.089369   \n",
       "52         278  28PBA8299_02     ssa    0.343841  6.259307e+02    5.307602   \n",
       "53         287  28PBB5835_05     ssa    0.308017  3.190239e+02   17.747726   \n",
       "54         288  28PBB5936_02     ssa    0.154444  2.000646e+02   20.407153   \n",
       "55         289  28PBB6040_03     ssa    0.160911  2.663758e+02   21.657425   \n",
       "56         297  28PCB9642_02     ssa    2.337009  3.504073e+03   11.801961   \n",
       "57         298  28PDB0750_04     ssa    0.454997  5.968164e+02   11.240426   \n",
       "\n",
       "         WP_dens  urb  hd_urb  Urb_class  Shape_Leng    Shape_Area  \\\n",
       "0    6852.183502    1       1          2    0.671746  2.258828e-03   \n",
       "1    4124.872441    1       1          2    0.718941  2.149259e-03   \n",
       "2    4163.686114    1       1          2    2.303639  6.813610e-03   \n",
       "3    6539.609258    1       1          2    1.070058  3.528274e-03   \n",
       "4    4662.399756    1       1          2    0.298223  9.311211e-04   \n",
       "5    5446.539082    1       1          2    1.468618  4.489114e-03   \n",
       "6   16035.762110    1       1          2    4.771359  1.905124e-02   \n",
       "7    4449.367491    1       1          2    0.611345  1.645460e-03   \n",
       "8    5681.109779    1       1          2    0.689064  1.983306e-03   \n",
       "9    2575.818720    1       1          2    3.094788  1.653195e-02   \n",
       "10  11747.618988    1       1          2    0.212800  7.746230e-04   \n",
       "11   5487.706734    1       1          2    0.612294  1.157396e-03   \n",
       "12   4478.321578    1       1          2    0.686130  2.255116e-03   \n",
       "13   4601.126349    1       1          2    0.494002  1.754369e-03   \n",
       "14   6852.183502    1       1          2    0.021230  8.758142e-06   \n",
       "15   4124.872441    1       1          2    0.019495  1.371013e-05   \n",
       "16   4478.321578    1       1          2    0.006776  3.072012e-06   \n",
       "17   4163.686114    1       1          2    0.005371  1.942589e-06   \n",
       "18   4163.686114    1       1          2    0.004799  1.167113e-06   \n",
       "19   4163.686114    1       1          2    0.004813  1.473665e-06   \n",
       "20   4163.686114    1       1          2    0.008101  2.807464e-06   \n",
       "21   4163.686114    1       1          2    0.030043  1.584495e-05   \n",
       "22   4163.686114    1       1          2    0.029995  1.281388e-05   \n",
       "23   6539.609258    1       1          2    0.003274  7.770706e-07   \n",
       "24   6539.609258    1       1          2    0.006861  2.237697e-06   \n",
       "25  16035.762110    1       1          2    0.007562  3.088678e-06   \n",
       "26   5446.539082    1       1          2    0.004718  1.494350e-06   \n",
       "27  16035.762110    1       1          2    0.008892  3.704665e-06   \n",
       "28  16035.762110    1       1          2    0.012549  5.684528e-06   \n",
       "29   2999.449116    1       1          2    0.005714  2.072792e-06   \n",
       "30   2999.449116    1       1          2    0.016761  9.425205e-06   \n",
       "31  16035.762110    1       1          2    0.005762  1.922510e-06   \n",
       "32   2999.449116    1       1          2    0.010610  3.853366e-06   \n",
       "33  16035.762110    1       1          2    0.005707  2.087379e-06   \n",
       "34  16035.762110    1       1          2    0.020240  1.072401e-05   \n",
       "35  16035.762110    1       1          2    0.010636  5.405016e-06   \n",
       "36   5446.539082    1       1          2    0.006431  2.620111e-06   \n",
       "37   5446.539082    1       1          2    0.005212  1.363254e-06   \n",
       "38   4449.367491    1       1          2    0.007613  3.230593e-06   \n",
       "39   5681.109779    1       1          2    0.008031  3.082793e-06   \n",
       "40   5681.109779    1       1          2    0.008189  3.604109e-06   \n",
       "41   4822.119467    1       1          2    0.003240  6.713225e-07   \n",
       "42   4822.119467    1       1          2    0.011110  5.573913e-06   \n",
       "43   4822.119467    1       1          2    0.005601  1.744649e-06   \n",
       "44   4822.119467    1       1          2    0.011433  4.783164e-06   \n",
       "45   4822.119467    1       1          2    0.005011  1.712171e-06   \n",
       "46   4822.119467    1       1          2    0.006360  2.376282e-06   \n",
       "47   4822.119467    1       1          2    0.007648  3.404769e-06   \n",
       "48   4601.126349    1       1          2    0.004811  1.173189e-06   \n",
       "49   5487.706734    1       1          2    0.005630  1.713057e-06   \n",
       "50   4478.321578    1       1          2    0.026402  2.467579e-05   \n",
       "51   4478.321578    1       1          2    0.013817  8.517618e-06   \n",
       "52   4163.686114    1       1          2    0.051295  2.883058e-05   \n",
       "53  16035.762110    1       1          2    0.043032  2.586476e-05   \n",
       "54  16035.762110    1       1          2    0.026399  1.296732e-05   \n",
       "55  16035.762110    1       1          2    0.027111  1.351374e-05   \n",
       "56   4822.119467    1       1          2    0.172410  1.963038e-04   \n",
       "57   4822.119467    1       1          2    0.038288  3.822519e-05   \n",
       "\n",
       "                      geometry          NN     NN_dist  \n",
       "0   POINT (-16.27319 12.56237)  6058226279    2.216606  \n",
       "1   POINT (-14.93619 12.89216)  6029307183   45.594167  \n",
       "2   POINT (-16.98703 14.44528)  4998093094   55.383696  \n",
       "3   POINT (-16.07613 14.16038)  2201506815   55.754910  \n",
       "4   POINT (-15.54760 14.10042)  4321656809   61.727308  \n",
       "5   POINT (-16.92615 14.78062)  1697006012   23.047883  \n",
       "6   POINT (-17.35639 14.75196)  1901689169    5.826006  \n",
       "7   POINT (-16.81721 14.94581)  6032060028   88.156089  \n",
       "8   POINT (-16.22779 14.65372)  6040927878   41.930884  \n",
       "9   POINT (-15.88776 14.86030)  3449495495   28.431974  \n",
       "10  POINT (-16.49043 16.00972)  3990543961   30.501908  \n",
       "11  POINT (-16.44247 16.04823)  8972391475   76.235638  \n",
       "12  POINT (-13.67026 13.77069)  3418418812   13.729478  \n",
       "13  POINT (-16.22514 15.62090)  1983641803   29.090625  \n",
       "14  POINT (-16.26448 12.53737)  6014451367   61.273348  \n",
       "15  POINT (-14.96104 12.89576)  6027163276   23.270139  \n",
       "16  POINT (-13.66859 13.75522)  2833577858  216.111092  \n",
       "17  POINT (-16.92748 14.39850)  7321088861  126.948072  \n",
       "18  POINT (-17.01607 14.46076)  6045659373   27.871739  \n",
       "19  POINT (-17.05586 14.47764)  5528866190   64.826632  \n",
       "20  POINT (-17.01885 14.48305)  6027939517   24.581971  \n",
       "21  POINT (-17.04249 14.48473)  6031093257  273.489784  \n",
       "22  POINT (-17.02641 14.49189)  1883155712  129.540762  \n",
       "23  POINT (-16.12870 14.16324)  6026417971  287.396023  \n",
       "24  POINT (-16.09028 14.18556)  6031245697   49.284838  \n",
       "25  POINT (-17.50391 14.74632)  7493947593   15.922254  \n",
       "26  POINT (-16.90908 14.74696)  1859359090  107.065710  \n",
       "27  POINT (-17.23996 14.76755)  6053816462   52.284317  \n",
       "28  POINT (-17.23392 14.77603)  6027530676   16.433933  \n",
       "29  POINT (-17.09863 14.77747)  2988435647   89.468532  \n",
       "30  POINT (-17.12943 14.77851)  7838754747   18.701502  \n",
       "31  POINT (-17.24231 14.78338)  6053825179   85.053967  \n",
       "32  POINT (-17.09417 14.78287)  2988435792  448.688952  \n",
       "33  POINT (-17.24905 14.78994)  3036877534   83.358619  \n",
       "34  POINT (-17.22451 14.78866)  6056472223   33.845239  \n",
       "35  POINT (-17.33198 14.80167)  7460241128  101.985612  \n",
       "36  POINT (-16.90672 14.82139)  6028595154   16.068266  \n",
       "37  POINT (-16.93440 14.82745)  4053739078   53.575602  \n",
       "38  POINT (-16.79378 14.94819)  4071261250  101.308205  \n",
       "39  POINT (-16.25612 14.65646)  6014815775   69.797088  \n",
       "40  POINT (-16.24125 14.67499)  6024430122   65.929413  \n",
       "41  POINT (-15.92440 14.79009)  8229317581   46.096276  \n",
       "42  POINT (-15.93379 14.80943)  6027834438  208.336925  \n",
       "43  POINT (-15.82162 14.82663)  6024894515  194.366522  \n",
       "44  POINT (-15.82415 14.82690)  6024894530   44.896345  \n",
       "45  POINT (-15.81977 14.82764)  6024894513  214.531196  \n",
       "46  POINT (-15.95625 14.84814)  8169321141   23.619127  \n",
       "47  POINT (-15.92044 14.91450)  8200304626    6.919737  \n",
       "48  POINT (-16.21746 15.59720)  1968458114   56.750510  \n",
       "49  POINT (-16.41659 16.07191)  9359670710   34.348832  \n",
       "50  POINT (-13.71478 13.77122)  6021177135  239.631441  \n",
       "51  POINT (-13.69533 13.78327)  6027615161   29.882395  \n",
       "52  POINT (-17.02074 14.46139)  6027276892   23.453107  \n",
       "53  POINT (-17.24553 14.78222)  6041228287   40.406566  \n",
       "54  POINT (-17.23455 14.79591)  5536661253   24.430550  \n",
       "55  POINT (-17.22539 14.83037)  7357630367  149.183632  \n",
       "56  POINT (-15.96514 14.85569)  8178147277   13.505685  \n",
       "57  POINT (-15.85781 14.92693)  6026834850   10.829250  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HDurban_snap = gn.pandana_snap_c(gTime, HDurban_pt, source_crs = 'epsg:4326', target_crs = 'epsg:31028', add_dist_to_node_col = True)\n",
    "HDurban_snap.to_csv('SEN-Cdrive/outputs/HDurban_snap.csv', index=True)\n",
    "HDurban_snap\n",
    "# The NN_dist is in seconds and should be very short for HDurban since they are all on the road network."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed_ 0</th>\n",
       "      <th>mgrs_code</th>\n",
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       "      <th>GlobalID</th>\n",
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       "      <td>28PCU1265_01</td>\n",
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       "      <th>2</th>\n",
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       "    <tr>\n",
       "      <th>125881</th>\n",
       "      <td>125881</td>\n",
       "      <td>28QED6412_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>{5555A010-36B2-47D2-96C4-BDD1E59111ED}</td>\n",
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       "      <th>125882</th>\n",
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       "      <td>{20205A44-8B9D-4FCE-B14C-53826594DB5A}</td>\n",
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       "      <th>125883</th>\n",
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      ],
      "text/plain": [
       "        Unnamed_ 0     mgrs_code    type  \\\n",
       "0                0  28PCU1265_01  hamlet   \n",
       "1                1  28PCU1365_01  hamlet   \n",
       "2                2  28PCU1365_02  hamlet   \n",
       "3                3  28PCU1566_01  hamlet   \n",
       "4                4  28PCU1566_02  hamlet   \n",
       "...            ...           ...     ...   \n",
       "125881      125881  28QED6412_03  hamlet   \n",
       "125882      125882  28QED6413_03  hamlet   \n",
       "125883      125883  28QED6413_04  hamlet   \n",
       "125884      125884  28QED6424_03  hamlet   \n",
       "125885      125885  28QED6438_03  hamlet   \n",
       "\n",
       "                                      GlobalID  Shape_Leng  Shape_Area  \\\n",
       "0       {ED2CCDD5-C78F-40B6-A18A-3A01B61A4998}    0.004314    0.000001   \n",
       "1       {372B104B-B208-4D14-84E2-8ABFD4D8C37A}    0.009910    0.000006   \n",
       "2       {D03C2B85-5F35-4EE8-8346-B83494628F26}    0.003754    0.000001   \n",
       "3       {5EAFF1C3-6EE5-4F96-99FC-78F924454480}    0.004401    0.000002   \n",
       "4       {1D6A9E17-0D49-446D-A23B-7A47B155DC64}    0.005357    0.000002   \n",
       "...                                        ...         ...         ...   \n",
       "125881  {5555A010-36B2-47D2-96C4-BDD1E59111ED}    0.005397    0.000002   \n",
       "125882  {20205A44-8B9D-4FCE-B14C-53826594DB5A}    0.003610    0.000001   \n",
       "125883  {AC6A169C-FD0E-4DF6-BDAB-B69FBD04BFAF}    0.015471    0.000008   \n",
       "125884  {51593C65-B268-4BA1-8212-E43232C021FF}    0.003883    0.000001   \n",
       "125885  {05114E26-63E9-4384-9F9E-8533D8AE2F1F}    0.007869    0.000004   \n",
       "\n",
       "                          geometry          NN      NN_dist  \n",
       "0       POINT (-16.72147 12.34864)  7761872870   307.058089  \n",
       "1       POINT (-16.71646 12.34789)  7761872869   801.450257  \n",
       "2       POINT (-16.71386 12.35088)  6442044321   694.273717  \n",
       "3       POINT (-16.70128 12.35559)  2142496418   689.246791  \n",
       "4       POINT (-16.69877 12.35680)  2142496429   607.912599  \n",
       "...                            ...         ...          ...  \n",
       "125881  POINT (-14.39783 16.39414)  3884280001  2965.705114  \n",
       "125882  POINT (-14.39747 16.40568)  6375187769  3949.180081  \n",
       "125883  POINT (-14.40036 16.40430)  8592243457  4008.851333  \n",
       "125884  POINT (-14.39624 16.49715)  3646207611  1826.174300  \n",
       "125885  POINT (-14.39511 16.63155)  3649149740   352.643932  \n",
       "\n",
       "[125886 rows x 9 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hamlet_snap = gn.pandana_snap_c(gTime, hamlet_pt, source_crs = 'epsg:4326', target_crs = 'epsg:31028', add_dist_to_node_col = True)\n",
    "hamlet_snap.to_csv('SEN-Cdrive/outputs/hamlet_snap.csv', index=True)\n",
    "hamlet_snap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start: Fri Jan  7 11:44:20 2022\n",
      "\n",
      "\n",
      "end: Fri Jan  7 12:08:37 2022\n",
      "\n",
      "--- processing complete\n"
     ]
    }
   ],
   "source": [
    "print('start: %s\\n' % time.ctime())\n",
    "ag_snap = gn.pandana_snap_c(gTime, agriculture, source_crs = 'epsg:4326', target_crs = 'epsg:31028', add_dist_to_node_col = True)\n",
    "ag_snap.to_csv('SEN-Cdrive/outputs/ag_snap.csv', index=True)\n",
    "ag_snap\n",
    "print('\\nend: %s' % time.ctime())\n",
    "print('\\n--- processing complete')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create travel time values for the road nodes nearest to each service.\n",
    "\n",
    "Using calculate_OD."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# If starting a new session, load from file.\n",
    "HDurban_snap = os.path.join(out_pth, \"HDurban_snap.csv\")\n",
    "HDurban_snap = pd.read_csv(HDurban_snap)\n",
    "hamlet_snap = os.path.join(out_pth, \"hamlet_snap.csv\")\n",
    "hamlet_snap = pd.read_csv(hamlet_snap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "ag_snap = os.path.join(out_pth, \"ag_snap.csv\")\n",
    "ag_snap = pd.read_csv(ag_snap)\n",
    "gTime = nx.read_gpickle(\"SEN-Cdrive/outputs/gTime_pre-project.pickle\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "      <th>mgrs_code</th>\n",
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       "      <th>urb</th>\n",
       "      <th>hd_urb</th>\n",
       "      <th>Urb_class</th>\n",
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       "      <th>Shape_Area</th>\n",
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       "      <th>NN_dist</th>\n",
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       "  </thead>\n",
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       "      <td>45.594167</td>\n",
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       "      <th>2</th>\n",
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       "      <td>3.382677e+05</td>\n",
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       "      <td>POINT (-16.987028969206293 14.445279143289168)</td>\n",
       "      <td>4998093094</td>\n",
       "      <td>55.383696</td>\n",
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       "      <th>3</th>\n",
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       "      <td>47</td>\n",
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       "      <td>bua</td>\n",
       "      <td>42.134069</td>\n",
       "      <td>2.755403e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6539.609258</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1.070058</td>\n",
       "      <td>3.528274e-03</td>\n",
       "      <td>POINT (-16.076128475299285 14.160382012387636)</td>\n",
       "      <td>2201506815</td>\n",
       "      <td>55.754910</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>56</td>\n",
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       "      <td>bua</td>\n",
       "      <td>11.123881</td>\n",
       "      <td>5.186398e+04</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>9.311211e-04</td>\n",
       "      <td>POINT (-15.547596052646174 14.100419699131665)</td>\n",
       "      <td>4321656809</td>\n",
       "      <td>61.727308</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
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       "      <td>75</td>\n",
       "      <td>28PBB9234_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>53.453391</td>\n",
       "      <td>2.911360e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5446.539082</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1.468618</td>\n",
       "      <td>4.489114e-03</td>\n",
       "      <td>POINT (-16.926149059908756 14.780621967102865)</td>\n",
       "      <td>1697006012</td>\n",
       "      <td>23.047883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>76</td>\n",
       "      <td>28PBB4632_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>226.850348</td>\n",
       "      <td>3.637718e+06</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4.771359</td>\n",
       "      <td>1.905124e-02</td>\n",
       "      <td>POINT (-17.35638706164378 14.751962825615575)</td>\n",
       "      <td>1901689169</td>\n",
       "      <td>5.826006</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>80</td>\n",
       "      <td>28PCB0453_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>19.580942</td>\n",
       "      <td>8.712281e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4449.367491</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.611345</td>\n",
       "      <td>1.645460e-03</td>\n",
       "      <td>POINT (-16.81720508223022 14.94580992504745)</td>\n",
       "      <td>6032060028</td>\n",
       "      <td>88.156089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>84</td>\n",
       "      <td>28PCB6720_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>23.634834</td>\n",
       "      <td>1.342721e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5681.109779</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.689064</td>\n",
       "      <td>1.983306e-03</td>\n",
       "      <td>POINT (-16.227786747221682 14.653718853747844)</td>\n",
       "      <td>6040927878</td>\n",
       "      <td>41.930884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>98</td>\n",
       "      <td>28PDB0443_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>196.802191</td>\n",
       "      <td>9.490037e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2575.818720</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3.094788</td>\n",
       "      <td>1.653195e-02</td>\n",
       "      <td>POINT (-15.887758561636817 14.860301673230607)</td>\n",
       "      <td>3449495495</td>\n",
       "      <td>28.431974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>123</td>\n",
       "      <td>28QCC4070_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>9.174147</td>\n",
       "      <td>1.077744e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>11747.618988</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.212800</td>\n",
       "      <td>7.746230e-04</td>\n",
       "      <td>POINT (-16.490434722674546 16.009724520231487)</td>\n",
       "      <td>3990543961</td>\n",
       "      <td>30.501908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>125</td>\n",
       "      <td>28QCC4573_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>13.701781</td>\n",
       "      <td>7.519136e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5487.706734</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.612294</td>\n",
       "      <td>1.157396e-03</td>\n",
       "      <td>POINT (-16.44247212109952 16.048232088709874)</td>\n",
       "      <td>8972391475</td>\n",
       "      <td>76.235638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>151</td>\n",
       "      <td>28PFA4322_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>26.974183</td>\n",
       "      <td>1.207991e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4478.321578</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.686130</td>\n",
       "      <td>2.255116e-03</td>\n",
       "      <td>POINT (-13.670259928888687 13.770692647360004)</td>\n",
       "      <td>3418418812</td>\n",
       "      <td>13.729478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>157</td>\n",
       "      <td>28PCC6827_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>20.814212</td>\n",
       "      <td>9.576882e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4601.126349</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.494002</td>\n",
       "      <td>1.754369e-03</td>\n",
       "      <td>POINT (-16.22513510721168 15.620904283746231)</td>\n",
       "      <td>1983641803</td>\n",
       "      <td>29.090625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>160</td>\n",
       "      <td>28PCU6286_04</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.105280</td>\n",
       "      <td>2.093665e+02</td>\n",
       "      <td>5.479664</td>\n",
       "      <td>6852.183502</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.021230</td>\n",
       "      <td>8.758142e-06</td>\n",
       "      <td>POINT (-16.264484462734323 12.537366413261045)</td>\n",
       "      <td>6014451367</td>\n",
       "      <td>61.273348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>168</td>\n",
       "      <td>28PEV0425_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.164601</td>\n",
       "      <td>2.503226e+02</td>\n",
       "      <td>5.371455</td>\n",
       "      <td>4124.872441</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.019495</td>\n",
       "      <td>1.371013e-05</td>\n",
       "      <td>POINT (-14.961042651677891 12.895762457094666)</td>\n",
       "      <td>6027163276</td>\n",
       "      <td>23.270139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>173</td>\n",
       "      <td>28PFA4321_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.036757</td>\n",
       "      <td>5.002239e+01</td>\n",
       "      <td>3.131679</td>\n",
       "      <td>4478.321578</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.006776</td>\n",
       "      <td>3.072012e-06</td>\n",
       "      <td>POINT (-13.668587614564068 13.755222178122034)</td>\n",
       "      <td>2833577858</td>\n",
       "      <td>216.111092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>174</td>\n",
       "      <td>28PBA9292_06</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.023177</td>\n",
       "      <td>1.846325e+01</td>\n",
       "      <td>13.239334</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005371</td>\n",
       "      <td>1.942589e-06</td>\n",
       "      <td>POINT (-16.927480646349732 14.39849858186184)</td>\n",
       "      <td>7321088861</td>\n",
       "      <td>126.948072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>175</td>\n",
       "      <td>28PBA8299_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.013923</td>\n",
       "      <td>1.655101e+01</td>\n",
       "      <td>4.715519</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.004799</td>\n",
       "      <td>1.167113e-06</td>\n",
       "      <td>POINT (-17.016066265874734 14.460756350154803)</td>\n",
       "      <td>6045659373</td>\n",
       "      <td>27.871739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>176</td>\n",
       "      <td>28PBB7801_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.017578</td>\n",
       "      <td>3.044826e+01</td>\n",
       "      <td>11.659853</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.004813</td>\n",
       "      <td>1.473665e-06</td>\n",
       "      <td>POINT (-17.055862944965526 14.477635627799748)</td>\n",
       "      <td>5528866190</td>\n",
       "      <td>64.826632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>177</td>\n",
       "      <td>28PBB8202_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.033487</td>\n",
       "      <td>3.486522e+01</td>\n",
       "      <td>7.892879</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.008101</td>\n",
       "      <td>2.807464e-06</td>\n",
       "      <td>POINT (-17.018846969475057 14.483053711062894)</td>\n",
       "      <td>6027939517</td>\n",
       "      <td>24.581971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>178</td>\n",
       "      <td>28PBB7902_04</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.188962</td>\n",
       "      <td>2.698936e+02</td>\n",
       "      <td>9.563365</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.030043</td>\n",
       "      <td>1.584495e-05</td>\n",
       "      <td>POINT (-17.042492216832404 14.48472898603413)</td>\n",
       "      <td>6031093257</td>\n",
       "      <td>273.489784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>179</td>\n",
       "      <td>28PBB8103_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.152780</td>\n",
       "      <td>2.366904e+02</td>\n",
       "      <td>9.538024</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.029995</td>\n",
       "      <td>1.281388e-05</td>\n",
       "      <td>POINT (-17.026406509846662 14.49188592573409)</td>\n",
       "      <td>1883155712</td>\n",
       "      <td>129.540762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>182</td>\n",
       "      <td>28PCA7866_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.009282</td>\n",
       "      <td>1.921189e+01</td>\n",
       "      <td>8.378629</td>\n",
       "      <td>6539.609258</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.003274</td>\n",
       "      <td>7.770706e-07</td>\n",
       "      <td>POINT (-16.12870301954371 14.163238160099032)</td>\n",
       "      <td>6026417971</td>\n",
       "      <td>287.396023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>184</td>\n",
       "      <td>28PCA8268_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.026723</td>\n",
       "      <td>3.108315e+01</td>\n",
       "      <td>5.292360</td>\n",
       "      <td>6539.609258</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.006861</td>\n",
       "      <td>2.237697e-06</td>\n",
       "      <td>POINT (-16.090276652783288 14.185562094447294)</td>\n",
       "      <td>6031245697</td>\n",
       "      <td>49.284838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>25</td>\n",
       "      <td>197</td>\n",
       "      <td>28PBB3031_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.036793</td>\n",
       "      <td>2.190752e+02</td>\n",
       "      <td>15.925017</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.007562</td>\n",
       "      <td>3.088678e-06</td>\n",
       "      <td>POINT (-17.503912092775586 14.746318221560271)</td>\n",
       "      <td>7493947593</td>\n",
       "      <td>15.922254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>26</td>\n",
       "      <td>199</td>\n",
       "      <td>28PBB9431_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.017802</td>\n",
       "      <td>3.757302e+01</td>\n",
       "      <td>6.049956</td>\n",
       "      <td>5446.539082</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.004718</td>\n",
       "      <td>1.494350e-06</td>\n",
       "      <td>POINT (-16.909081994152583 14.746958369151947)</td>\n",
       "      <td>1859359090</td>\n",
       "      <td>107.065710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>27</td>\n",
       "      <td>201</td>\n",
       "      <td>28PBB5833_07</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.044133</td>\n",
       "      <td>6.815012e+01</td>\n",
       "      <td>15.771149</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.008892</td>\n",
       "      <td>3.704665e-06</td>\n",
       "      <td>POINT (-17.23995849720513 14.767547644151895)</td>\n",
       "      <td>6053816462</td>\n",
       "      <td>52.284317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28</td>\n",
       "      <td>202</td>\n",
       "      <td>28PBB5934_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.067703</td>\n",
       "      <td>6.689919e+01</td>\n",
       "      <td>16.463440</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.012549</td>\n",
       "      <td>5.684528e-06</td>\n",
       "      <td>POINT (-17.23391993155635 14.77602519637424)</td>\n",
       "      <td>6027530676</td>\n",
       "      <td>16.433933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>29</td>\n",
       "      <td>203</td>\n",
       "      <td>28PBB7434_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.024692</td>\n",
       "      <td>6.194532e+01</td>\n",
       "      <td>8.691752</td>\n",
       "      <td>2999.449116</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005714</td>\n",
       "      <td>2.072792e-06</td>\n",
       "      <td>POINT (-17.098633451710782 14.77747413510043)</td>\n",
       "      <td>2988435647</td>\n",
       "      <td>89.468532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>30</td>\n",
       "      <td>204</td>\n",
       "      <td>28PBB7034_07</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.112259</td>\n",
       "      <td>1.692285e+02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2999.449116</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.016761</td>\n",
       "      <td>9.425205e-06</td>\n",
       "      <td>POINT (-17.129431186301037 14.778506781574904)</td>\n",
       "      <td>7838754747</td>\n",
       "      <td>18.701502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>31</td>\n",
       "      <td>206</td>\n",
       "      <td>28PBB5835_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.022898</td>\n",
       "      <td>9.636268e+00</td>\n",
       "      <td>18.883526</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005762</td>\n",
       "      <td>1.922510e-06</td>\n",
       "      <td>POINT (-17.242305601017154 14.783375368548443)</td>\n",
       "      <td>6053825179</td>\n",
       "      <td>85.053967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>32</td>\n",
       "      <td>208</td>\n",
       "      <td>28PBB7435_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.045895</td>\n",
       "      <td>7.314733e+01</td>\n",
       "      <td>9.383175</td>\n",
       "      <td>2999.449116</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.010610</td>\n",
       "      <td>3.853366e-06</td>\n",
       "      <td>POINT (-17.094173826957192 14.782872880683293)</td>\n",
       "      <td>2988435792</td>\n",
       "      <td>448.688952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>33</td>\n",
       "      <td>209</td>\n",
       "      <td>28PBB5736_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.024862</td>\n",
       "      <td>2.599556e+01</td>\n",
       "      <td>18.950196</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005707</td>\n",
       "      <td>2.087379e-06</td>\n",
       "      <td>POINT (-17.249054064042234 14.789944283803916)</td>\n",
       "      <td>3036877534</td>\n",
       "      <td>83.358619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>34</td>\n",
       "      <td>210</td>\n",
       "      <td>28PBB6036_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.127726</td>\n",
       "      <td>2.177392e+02</td>\n",
       "      <td>18.371827</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.020240</td>\n",
       "      <td>1.072401e-05</td>\n",
       "      <td>POINT (-17.224509034146617 14.78865536663635)</td>\n",
       "      <td>6056472223</td>\n",
       "      <td>33.845239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>35</td>\n",
       "      <td>211</td>\n",
       "      <td>28PBB4937_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.064379</td>\n",
       "      <td>5.965873e+02</td>\n",
       "      <td>7.559833</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.010636</td>\n",
       "      <td>5.405016e-06</td>\n",
       "      <td>POINT (-17.33197897874605 14.801673118686626)</td>\n",
       "      <td>7460241128</td>\n",
       "      <td>101.985612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>36</td>\n",
       "      <td>213</td>\n",
       "      <td>28PBB9439_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.031203</td>\n",
       "      <td>6.360090e+01</td>\n",
       "      <td>6.593517</td>\n",
       "      <td>5446.539082</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.006431</td>\n",
       "      <td>2.620111e-06</td>\n",
       "      <td>POINT (-16.906716646509395 14.821388297685347)</td>\n",
       "      <td>6028595154</td>\n",
       "      <td>16.068266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>37</td>\n",
       "      <td>214</td>\n",
       "      <td>28PBB9140_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.016236</td>\n",
       "      <td>3.369405e+01</td>\n",
       "      <td>7.070007</td>\n",
       "      <td>5446.539082</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005212</td>\n",
       "      <td>1.363254e-06</td>\n",
       "      <td>POINT (-16.93440097090104 14.827449770877049)</td>\n",
       "      <td>4053739078</td>\n",
       "      <td>53.575602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>38</td>\n",
       "      <td>216</td>\n",
       "      <td>28PCB0753_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.038454</td>\n",
       "      <td>2.791577e+01</td>\n",
       "      <td>4.990843</td>\n",
       "      <td>4449.367491</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.007613</td>\n",
       "      <td>3.230593e-06</td>\n",
       "      <td>POINT (-16.793775813770107 14.948188044266814)</td>\n",
       "      <td>4071261250</td>\n",
       "      <td>101.308205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>39</td>\n",
       "      <td>218</td>\n",
       "      <td>28PCB6420_04</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.036734</td>\n",
       "      <td>5.628131e+01</td>\n",
       "      <td>5.323107</td>\n",
       "      <td>5681.109779</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.008031</td>\n",
       "      <td>3.082793e-06</td>\n",
       "      <td>POINT (-16.256116818111135 14.656461506543518)</td>\n",
       "      <td>6014815775</td>\n",
       "      <td>69.797088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>40</td>\n",
       "      <td>219</td>\n",
       "      <td>28PCB6622_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.042953</td>\n",
       "      <td>7.583911e+01</td>\n",
       "      <td>7.330625</td>\n",
       "      <td>5681.109779</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.008189</td>\n",
       "      <td>3.604109e-06</td>\n",
       "      <td>POINT (-16.241253248843044 14.674992153284423)</td>\n",
       "      <td>6024430122</td>\n",
       "      <td>65.929413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>41</td>\n",
       "      <td>223</td>\n",
       "      <td>28PDB0035_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.007997</td>\n",
       "      <td>1.721998e+01</td>\n",
       "      <td>12.119414</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.003240</td>\n",
       "      <td>6.713225e-07</td>\n",
       "      <td>POINT (-15.924404585230247 14.79008802267149)</td>\n",
       "      <td>8229317581</td>\n",
       "      <td>46.096276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>42</td>\n",
       "      <td>224</td>\n",
       "      <td>28PCB9937_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.066384</td>\n",
       "      <td>1.701381e+02</td>\n",
       "      <td>10.443704</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.011110</td>\n",
       "      <td>5.573913e-06</td>\n",
       "      <td>POINT (-15.933785288853453 14.809426960267158)</td>\n",
       "      <td>6027834438</td>\n",
       "      <td>208.336925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>43</td>\n",
       "      <td>226</td>\n",
       "      <td>28PDB1139_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.020778</td>\n",
       "      <td>2.617514e+01</td>\n",
       "      <td>10.677935</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005601</td>\n",
       "      <td>1.744649e-06</td>\n",
       "      <td>POINT (-15.82161911516783 14.826628245382166)</td>\n",
       "      <td>6024894515</td>\n",
       "      <td>194.366522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>44</td>\n",
       "      <td>227</td>\n",
       "      <td>28PDB1139_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.056959</td>\n",
       "      <td>8.547818e+01</td>\n",
       "      <td>10.874058</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.011433</td>\n",
       "      <td>4.783164e-06</td>\n",
       "      <td>POINT (-15.824145139116334 14.826896103769105)</td>\n",
       "      <td>6024894530</td>\n",
       "      <td>44.896345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>45</td>\n",
       "      <td>228</td>\n",
       "      <td>28PDB1139_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.020389</td>\n",
       "      <td>1.425154e+01</td>\n",
       "      <td>10.553416</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005011</td>\n",
       "      <td>1.712171e-06</td>\n",
       "      <td>POINT (-15.819773868082187 14.82763603774496)</td>\n",
       "      <td>6024894513</td>\n",
       "      <td>214.531196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>46</td>\n",
       "      <td>229</td>\n",
       "      <td>28PCB9741_04</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.028295</td>\n",
       "      <td>2.806345e+01</td>\n",
       "      <td>9.374555</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.006360</td>\n",
       "      <td>2.376282e-06</td>\n",
       "      <td>POINT (-15.956248013051251 14.84813630510084)</td>\n",
       "      <td>8169321141</td>\n",
       "      <td>23.619127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>47</td>\n",
       "      <td>230</td>\n",
       "      <td>28PDB0149_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.040534</td>\n",
       "      <td>4.546143e+01</td>\n",
       "      <td>6.408090</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.007648</td>\n",
       "      <td>3.404769e-06</td>\n",
       "      <td>POINT (-15.920443499962804 14.914499169364376)</td>\n",
       "      <td>8200304626</td>\n",
       "      <td>6.919737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>48</td>\n",
       "      <td>237</td>\n",
       "      <td>28PCC6924_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.013923</td>\n",
       "      <td>9.612921e+00</td>\n",
       "      <td>5.051494</td>\n",
       "      <td>4601.126349</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.004811</td>\n",
       "      <td>1.173189e-06</td>\n",
       "      <td>POINT (-16.217456240770417 15.597199756480478)</td>\n",
       "      <td>1968458114</td>\n",
       "      <td>56.750510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>49</td>\n",
       "      <td>244</td>\n",
       "      <td>28QCC4877_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.020283</td>\n",
       "      <td>1.279428e+01</td>\n",
       "      <td>4.109954</td>\n",
       "      <td>5487.706734</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005630</td>\n",
       "      <td>1.713057e-06</td>\n",
       "      <td>POINT (-16.416588195364064 16.071912118977373)</td>\n",
       "      <td>9359670710</td>\n",
       "      <td>34.348832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>50</td>\n",
       "      <td>274</td>\n",
       "      <td>28PFA3822_04</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.295219</td>\n",
       "      <td>5.353027e+02</td>\n",
       "      <td>4.677464</td>\n",
       "      <td>4478.321578</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.026402</td>\n",
       "      <td>2.467579e-05</td>\n",
       "      <td>POINT (-13.714783248440478 13.771220759716533)</td>\n",
       "      <td>6021177135</td>\n",
       "      <td>239.631441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>51</td>\n",
       "      <td>275</td>\n",
       "      <td>28PFA4124_01</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.101893</td>\n",
       "      <td>1.886798e+02</td>\n",
       "      <td>4.089369</td>\n",
       "      <td>4478.321578</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.013817</td>\n",
       "      <td>8.517618e-06</td>\n",
       "      <td>POINT (-13.69532688091379 13.783265672958317)</td>\n",
       "      <td>6027615161</td>\n",
       "      <td>29.882395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>52</td>\n",
       "      <td>278</td>\n",
       "      <td>28PBA8299_02</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.343841</td>\n",
       "      <td>6.259307e+02</td>\n",
       "      <td>5.307602</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.051295</td>\n",
       "      <td>2.883058e-05</td>\n",
       "      <td>POINT (-17.020742566008337 14.46138641364398)</td>\n",
       "      <td>6027276892</td>\n",
       "      <td>23.453107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>53</td>\n",
       "      <td>287</td>\n",
       "      <td>28PBB5835_05</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.308017</td>\n",
       "      <td>3.190239e+02</td>\n",
       "      <td>17.747726</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.043032</td>\n",
       "      <td>2.586476e-05</td>\n",
       "      <td>POINT (-17.245528396017207 14.782219244270532)</td>\n",
       "      <td>6041228287</td>\n",
       "      <td>40.406566</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>54</td>\n",
       "      <td>288</td>\n",
       "      <td>28PBB5936_02</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.154444</td>\n",
       "      <td>2.000646e+02</td>\n",
       "      <td>20.407153</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.026399</td>\n",
       "      <td>1.296732e-05</td>\n",
       "      <td>POINT (-17.23454728899848 14.795909517565944)</td>\n",
       "      <td>5536661253</td>\n",
       "      <td>24.430550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>55</td>\n",
       "      <td>289</td>\n",
       "      <td>28PBB6040_03</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.160911</td>\n",
       "      <td>2.663758e+02</td>\n",
       "      <td>21.657425</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.027111</td>\n",
       "      <td>1.351374e-05</td>\n",
       "      <td>POINT (-17.225385101570456 14.830374516240026)</td>\n",
       "      <td>7357630367</td>\n",
       "      <td>149.183632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>56</td>\n",
       "      <td>297</td>\n",
       "      <td>28PCB9642_02</td>\n",
       "      <td>ssa</td>\n",
       "      <td>2.337009</td>\n",
       "      <td>3.504073e+03</td>\n",
       "      <td>11.801961</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.172410</td>\n",
       "      <td>1.963038e-04</td>\n",
       "      <td>POINT (-15.9651353582649 14.85568825099391)</td>\n",
       "      <td>8178147277</td>\n",
       "      <td>13.505685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>57</td>\n",
       "      <td>298</td>\n",
       "      <td>28PDB0750_04</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.454997</td>\n",
       "      <td>5.968164e+02</td>\n",
       "      <td>11.240426</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.038288</td>\n",
       "      <td>3.822519e-05</td>\n",
       "      <td>POINT (-15.85780585273177 14.926926620823643)</td>\n",
       "      <td>6026834850</td>\n",
       "      <td>10.829250</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0  Unnamed_ 0     mgrs_code    type    AREA_GEO           SUM  \\\n",
       "0            0           1  28PCU6189_01     bua   27.151434  1.860466e+05   \n",
       "1            1           8  28PEV0625_01     bua   25.799549  1.064198e+05   \n",
       "2            2          37  28PBA8597_01     bua   81.242354  3.382677e+05   \n",
       "3            3          47  28PCA8365_01     bua   42.134069  2.755403e+05   \n",
       "4            4          56  28PDA4058_01     bua   11.123881  5.186398e+04   \n",
       "5            5          75  28PBB9234_01     bua   53.453391  2.911360e+05   \n",
       "6            6          76  28PBB4632_01     bua  226.850348  3.637718e+06   \n",
       "7            7          80  28PCB0453_01     bua   19.580942  8.712281e+04   \n",
       "8            8          84  28PCB6720_01     bua   23.634834  1.342721e+05   \n",
       "9            9          98  28PDB0443_01     bua  196.802191  9.490037e+05   \n",
       "10          10         123  28QCC4070_01     bua    9.174147  1.077744e+05   \n",
       "11          11         125  28QCC4573_01     bua   13.701781  7.519136e+04   \n",
       "12          12         151  28PFA4322_01     bua   26.974183  1.207991e+05   \n",
       "13          13         157  28PCC6827_01     bua   20.814212  9.576882e+04   \n",
       "14          14         160  28PCU6286_04  hamlet    0.105280  2.093665e+02   \n",
       "15          15         168  28PEV0425_03  hamlet    0.164601  2.503226e+02   \n",
       "16          16         173  28PFA4321_01  hamlet    0.036757  5.002239e+01   \n",
       "17          17         174  28PBA9292_06  hamlet    0.023177  1.846325e+01   \n",
       "18          18         175  28PBA8299_01  hamlet    0.013923  1.655101e+01   \n",
       "19          19         176  28PBB7801_01  hamlet    0.017578  3.044826e+01   \n",
       "20          20         177  28PBB8202_01  hamlet    0.033487  3.486522e+01   \n",
       "21          21         178  28PBB7902_04  hamlet    0.188962  2.698936e+02   \n",
       "22          22         179  28PBB8103_02  hamlet    0.152780  2.366904e+02   \n",
       "23          23         182  28PCA7866_01  hamlet    0.009282  1.921189e+01   \n",
       "24          24         184  28PCA8268_03  hamlet    0.026723  3.108315e+01   \n",
       "25          25         197  28PBB3031_01  hamlet    0.036793  2.190752e+02   \n",
       "26          26         199  28PBB9431_01  hamlet    0.017802  3.757302e+01   \n",
       "27          27         201  28PBB5833_07  hamlet    0.044133  6.815012e+01   \n",
       "28          28         202  28PBB5934_01  hamlet    0.067703  6.689919e+01   \n",
       "29          29         203  28PBB7434_03  hamlet    0.024692  6.194532e+01   \n",
       "30          30         204  28PBB7034_07  hamlet    0.112259  1.692285e+02   \n",
       "31          31         206  28PBB5835_03  hamlet    0.022898  9.636268e+00   \n",
       "32          32         208  28PBB7435_01  hamlet    0.045895  7.314733e+01   \n",
       "33          33         209  28PBB5736_02  hamlet    0.024862  2.599556e+01   \n",
       "34          34         210  28PBB6036_01  hamlet    0.127726  2.177392e+02   \n",
       "35          35         211  28PBB4937_01  hamlet    0.064379  5.965873e+02   \n",
       "36          36         213  28PBB9439_02  hamlet    0.031203  6.360090e+01   \n",
       "37          37         214  28PBB9140_02  hamlet    0.016236  3.369405e+01   \n",
       "38          38         216  28PCB0753_03  hamlet    0.038454  2.791577e+01   \n",
       "39          39         218  28PCB6420_04  hamlet    0.036734  5.628131e+01   \n",
       "40          40         219  28PCB6622_01  hamlet    0.042953  7.583911e+01   \n",
       "41          41         223  28PDB0035_01  hamlet    0.007997  1.721998e+01   \n",
       "42          42         224  28PCB9937_03  hamlet    0.066384  1.701381e+02   \n",
       "43          43         226  28PDB1139_01  hamlet    0.020778  2.617514e+01   \n",
       "44          44         227  28PDB1139_02  hamlet    0.056959  8.547818e+01   \n",
       "45          45         228  28PDB1139_03  hamlet    0.020389  1.425154e+01   \n",
       "46          46         229  28PCB9741_04  hamlet    0.028295  2.806345e+01   \n",
       "47          47         230  28PDB0149_01  hamlet    0.040534  4.546143e+01   \n",
       "48          48         237  28PCC6924_02  hamlet    0.013923  9.612921e+00   \n",
       "49          49         244  28QCC4877_02  hamlet    0.020283  1.279428e+01   \n",
       "50          50         274  28PFA3822_04     ssa    0.295219  5.353027e+02   \n",
       "51          51         275  28PFA4124_01     ssa    0.101893  1.886798e+02   \n",
       "52          52         278  28PBA8299_02     ssa    0.343841  6.259307e+02   \n",
       "53          53         287  28PBB5835_05     ssa    0.308017  3.190239e+02   \n",
       "54          54         288  28PBB5936_02     ssa    0.154444  2.000646e+02   \n",
       "55          55         289  28PBB6040_03     ssa    0.160911  2.663758e+02   \n",
       "56          56         297  28PCB9642_02     ssa    2.337009  3.504073e+03   \n",
       "57          57         298  28PDB0750_04     ssa    0.454997  5.968164e+02   \n",
       "\n",
       "    Total_Driv       WP_dens  urb  hd_urb  Urb_class  Shape_Leng  \\\n",
       "0     0.000000   6852.183502    1       1          2    0.671746   \n",
       "1     0.000000   4124.872441    1       1          2    0.718941   \n",
       "2     0.000000   4163.686114    1       1          2    2.303639   \n",
       "3     0.000000   6539.609258    1       1          2    1.070058   \n",
       "4     0.000000   4662.399756    1       1          2    0.298223   \n",
       "5     0.000000   5446.539082    1       1          2    1.468618   \n",
       "6     0.000000  16035.762110    1       1          2    4.771359   \n",
       "7     0.000000   4449.367491    1       1          2    0.611345   \n",
       "8     0.000000   5681.109779    1       1          2    0.689064   \n",
       "9     0.000000   2575.818720    1       1          2    3.094788   \n",
       "10    0.000000  11747.618988    1       1          2    0.212800   \n",
       "11    0.000000   5487.706734    1       1          2    0.612294   \n",
       "12    0.000000   4478.321578    1       1          2    0.686130   \n",
       "13    0.000000   4601.126349    1       1          2    0.494002   \n",
       "14    5.479664   6852.183502    1       1          2    0.021230   \n",
       "15    5.371455   4124.872441    1       1          2    0.019495   \n",
       "16    3.131679   4478.321578    1       1          2    0.006776   \n",
       "17   13.239334   4163.686114    1       1          2    0.005371   \n",
       "18    4.715519   4163.686114    1       1          2    0.004799   \n",
       "19   11.659853   4163.686114    1       1          2    0.004813   \n",
       "20    7.892879   4163.686114    1       1          2    0.008101   \n",
       "21    9.563365   4163.686114    1       1          2    0.030043   \n",
       "22    9.538024   4163.686114    1       1          2    0.029995   \n",
       "23    8.378629   6539.609258    1       1          2    0.003274   \n",
       "24    5.292360   6539.609258    1       1          2    0.006861   \n",
       "25   15.925017  16035.762110    1       1          2    0.007562   \n",
       "26    6.049956   5446.539082    1       1          2    0.004718   \n",
       "27   15.771149  16035.762110    1       1          2    0.008892   \n",
       "28   16.463440  16035.762110    1       1          2    0.012549   \n",
       "29    8.691752   2999.449116    1       1          2    0.005714   \n",
       "30         NaN   2999.449116    1       1          2    0.016761   \n",
       "31   18.883526  16035.762110    1       1          2    0.005762   \n",
       "32    9.383175   2999.449116    1       1          2    0.010610   \n",
       "33   18.950196  16035.762110    1       1          2    0.005707   \n",
       "34   18.371827  16035.762110    1       1          2    0.020240   \n",
       "35    7.559833  16035.762110    1       1          2    0.010636   \n",
       "36    6.593517   5446.539082    1       1          2    0.006431   \n",
       "37    7.070007   5446.539082    1       1          2    0.005212   \n",
       "38    4.990843   4449.367491    1       1          2    0.007613   \n",
       "39    5.323107   5681.109779    1       1          2    0.008031   \n",
       "40    7.330625   5681.109779    1       1          2    0.008189   \n",
       "41   12.119414   4822.119467    1       1          2    0.003240   \n",
       "42   10.443704   4822.119467    1       1          2    0.011110   \n",
       "43   10.677935   4822.119467    1       1          2    0.005601   \n",
       "44   10.874058   4822.119467    1       1          2    0.011433   \n",
       "45   10.553416   4822.119467    1       1          2    0.005011   \n",
       "46    9.374555   4822.119467    1       1          2    0.006360   \n",
       "47    6.408090   4822.119467    1       1          2    0.007648   \n",
       "48    5.051494   4601.126349    1       1          2    0.004811   \n",
       "49    4.109954   5487.706734    1       1          2    0.005630   \n",
       "50    4.677464   4478.321578    1       1          2    0.026402   \n",
       "51    4.089369   4478.321578    1       1          2    0.013817   \n",
       "52    5.307602   4163.686114    1       1          2    0.051295   \n",
       "53   17.747726  16035.762110    1       1          2    0.043032   \n",
       "54   20.407153  16035.762110    1       1          2    0.026399   \n",
       "55   21.657425  16035.762110    1       1          2    0.027111   \n",
       "56   11.801961   4822.119467    1       1          2    0.172410   \n",
       "57   11.240426   4822.119467    1       1          2    0.038288   \n",
       "\n",
       "      Shape_Area                                        geometry          NN  \\\n",
       "0   2.258828e-03   POINT (-16.27318626010657 12.562367084144856)  6058226279   \n",
       "1   2.149259e-03  POINT (-14.936187613172205 12.892160925397892)  6029307183   \n",
       "2   6.813610e-03  POINT (-16.987028969206293 14.445279143289168)  4998093094   \n",
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       "39  3.082793e-06  POINT (-16.256116818111135 14.656461506543518)  6014815775   \n",
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       "43  1.744649e-06   POINT (-15.82161911516783 14.826628245382166)  6024894515   \n",
       "44  4.783164e-06  POINT (-15.824145139116334 14.826896103769105)  6024894530   \n",
       "45  1.712171e-06   POINT (-15.819773868082187 14.82763603774496)  6024894513   \n",
       "46  2.376282e-06   POINT (-15.956248013051251 14.84813630510084)  8169321141   \n",
       "47  3.404769e-06  POINT (-15.920443499962804 14.914499169364376)  8200304626   \n",
       "48  1.173189e-06  POINT (-16.217456240770417 15.597199756480478)  1968458114   \n",
       "49  1.713057e-06  POINT (-16.416588195364064 16.071912118977373)  9359670710   \n",
       "50  2.467579e-05  POINT (-13.714783248440478 13.771220759716533)  6021177135   \n",
       "51  8.517618e-06   POINT (-13.69532688091379 13.783265672958317)  6027615161   \n",
       "52  2.883058e-05   POINT (-17.020742566008337 14.46138641364398)  6027276892   \n",
       "53  2.586476e-05  POINT (-17.245528396017207 14.782219244270532)  6041228287   \n",
       "54  1.296732e-05   POINT (-17.23454728899848 14.795909517565944)  5536661253   \n",
       "55  1.351374e-05  POINT (-17.225385101570456 14.830374516240026)  7357630367   \n",
       "56  1.963038e-04     POINT (-15.9651353582649 14.85568825099391)  8178147277   \n",
       "57  3.822519e-05   POINT (-15.85780585273177 14.926926620823643)  6026834850   \n",
       "\n",
       "       NN_dist  \n",
       "0     2.216606  \n",
       "1    45.594167  \n",
       "2    55.383696  \n",
       "3    55.754910  \n",
       "4    61.727308  \n",
       "5    23.047883  \n",
       "6     5.826006  \n",
       "7    88.156089  \n",
       "8    41.930884  \n",
       "9    28.431974  \n",
       "10   30.501908  \n",
       "11   76.235638  \n",
       "12   13.729478  \n",
       "13   29.090625  \n",
       "14   61.273348  \n",
       "15   23.270139  \n",
       "16  216.111092  \n",
       "17  126.948072  \n",
       "18   27.871739  \n",
       "19   64.826632  \n",
       "20   24.581971  \n",
       "21  273.489784  \n",
       "22  129.540762  \n",
       "23  287.396023  \n",
       "24   49.284838  \n",
       "25   15.922254  \n",
       "26  107.065710  \n",
       "27   52.284317  \n",
       "28   16.433933  \n",
       "29   89.468532  \n",
       "30   18.701502  \n",
       "31   85.053967  \n",
       "32  448.688952  \n",
       "33   83.358619  \n",
       "34   33.845239  \n",
       "35  101.985612  \n",
       "36   16.068266  \n",
       "37   53.575602  \n",
       "38  101.308205  \n",
       "39   69.797088  \n",
       "40   65.929413  \n",
       "41   46.096276  \n",
       "42  208.336925  \n",
       "43  194.366522  \n",
       "44   44.896345  \n",
       "45  214.531196  \n",
       "46   23.619127  \n",
       "47    6.919737  \n",
       "48   56.750510  \n",
       "49   34.348832  \n",
       "50  239.631441  \n",
       "51   29.882395  \n",
       "52   23.453107  \n",
       "53   40.406566  \n",
       "54   24.430550  \n",
       "55  149.183632  \n",
       "56   13.505685  \n",
       "57   10.829250  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HDurban_snap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We only need to find the origin-destination pairs for nodes closest to the origins and services,\n",
    "# and some nodes will be the nearest for more than one service (and definitely for multiple origins).\n",
    "list_hamlet = list(hamlet_snap.NN.unique())\n",
    "origins = list_hamlet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "list_ag = list(ag_snap.NN.unique())\n",
    "originslist = list_hamlet + list_ag\n",
    "origins = list(set(originslist))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "dests = list(HDurban_snap.NN.unique()) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "985720"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(origins) # 985720 unique nearest nodes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "58"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(dests) # 58 unique nearest nodes. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(358284990, 5217543379, {'geometry': <shapely.geometry.linestring.LineString object at 0x0000023B5700A0A0>, 'Unnamed: 0': 0, 'length': 33.127, 'width': nan, 'area': nan, 'highway': 'unclassified', 'ref': 'D 523', 'maxspeed': nan, 'time': 2.3851440000000004, 'name': 'D 523', 'mode': 'drive', 'lanes': nan, 'tunnel': nan, 'bridge': nan, 'junction': nan, 'landuse': nan, 'access': nan, 'osmid': 59618174, 'service': nan, 'oneway': False})\n",
      "(358284990, 1888282175, {'geometry': <shapely.geometry.linestring.LineString object at 0x0000023B5700A2B0>, 'Unnamed: 0': 1, 'length': 12.832, 'width': nan, 'area': nan, 'highway': 'tertiary', 'ref': nan, 'maxspeed': nan, 'time': 0.76992, 'name': nan, 'mode': 'drive', 'lanes': nan, 'tunnel': nan, 'bridge': nan, 'junction': nan, 'landuse': nan, 'access': nan, 'osmid': 178482063, 'service': nan, 'oneway': False})\n",
      "(358284990, 5329792467, {'geometry': <shapely.geometry.linestring.LineString object at 0x0000023B4F0F3550>, 'Unnamed: 0': 2, 'length': 48.781, 'width': nan, 'area': nan, 'highway': 'tertiary', 'ref': nan, 'maxspeed': nan, 'time': 2.92686, 'name': nan, 'mode': 'drive', 'lanes': nan, 'tunnel': nan, 'bridge': nan, 'junction': nan, 'landuse': nan, 'access': nan, 'osmid': 178482063, 'service': nan, 'oneway': False})\n",
      "(5217543379, 358284990, {'geometry': <shapely.geometry.linestring.LineString object at 0x0000023B57022160>, 'Unnamed: 0': 31397, 'length': 33.127, 'width': nan, 'area': nan, 'highway': 'unclassified', 'ref': 'D 523', 'maxspeed': nan, 'time': 2.3851440000000004, 'name': 'D 523', 'mode': 'drive', 'lanes': nan, 'tunnel': nan, 'bridge': nan, 'junction': nan, 'landuse': nan, 'access': nan, 'osmid': 59618174, 'service': nan, 'oneway': False})\n",
      "(5217543379, 5329928981, {'geometry': <shapely.geometry.linestring.LineString object at 0x0000023B57022400>, 'Unnamed: 0': 31398, 'length': 17.124, 'width': nan, 'area': nan, 'highway': 'unclassified', 'ref': 'D 523', 'maxspeed': nan, 'time': 1.232928, 'name': 'D 523', 'mode': 'drive', 'lanes': nan, 'tunnel': nan, 'bridge': nan, 'junction': nan, 'landuse': nan, 'access': nan, 'osmid': 59618174, 'service': nan, 'oneway': False})\n",
      "(1888282175, 1888282174, {'geometry': <shapely.geometry.linestring.LineString object at 0x0000023B57022460>, 'Unnamed: 0': 1993, 'length': 15.537, 'width': nan, 'area': nan, 'highway': 'tertiary', 'ref': nan, 'maxspeed': nan, 'time': 0.9322200000000002, 'name': nan, 'mode': 'drive', 'lanes': nan, 'tunnel': nan, 'bridge': nan, 'junction': nan, 'landuse': nan, 'access': nan, 'osmid': 178482063, 'service': nan, 'oneway': False})\n",
      "(1888282175, 358284990, {'geometry': <shapely.geometry.linestring.LineString object at 0x0000023B57022340>, 'Unnamed: 0': 1994, 'length': 12.832, 'width': nan, 'area': nan, 'highway': 'tertiary', 'ref': nan, 'maxspeed': nan, 'time': 0.76992, 'name': nan, 'mode': 'drive', 'lanes': nan, 'tunnel': nan, 'bridge': nan, 'junction': nan, 'landuse': nan, 'access': nan, 'osmid': 178482063, 'service': nan, 'oneway': False})\n",
      "(5329792467, 358284990, {'geometry': <shapely.geometry.linestring.LineString object at 0x0000023B57022700>, 'Unnamed: 0': 32361, 'length': 48.781, 'width': nan, 'area': nan, 'highway': 'tertiary', 'ref': nan, 'maxspeed': nan, 'time': 2.92686, 'name': nan, 'mode': 'drive', 'lanes': nan, 'tunnel': nan, 'bridge': nan, 'junction': nan, 'landuse': nan, 'access': nan, 'osmid': 178482063, 'service': nan, 'oneway': False})\n",
      "(5329792467, 1888282177, {'geometry': <shapely.geometry.linestring.LineString object at 0x0000023B57022790>, 'Unnamed: 0': 32362, 'length': 46.05, 'width': nan, 'area': nan, 'highway': 'tertiary', 'ref': nan, 'maxspeed': nan, 'time': 2.7629999999999995, 'name': nan, 'mode': 'drive', 'lanes': nan, 'tunnel': nan, 'bridge': nan, 'junction': nan, 'landuse': nan, 'access': nan, 'osmid': 178482063, 'service': nan, 'oneway': False})\n",
      "(358284993, 1888282575, {'geometry': <shapely.geometry.linestring.LineString object at 0x0000023B570227F0>, 'Unnamed: 0': 3, 'length': 126.577, 'width': nan, 'area': nan, 'highway': 'tertiary', 'ref': nan, 'maxspeed': nan, 'time': 7.59462, 'name': nan, 'mode': 'drive', 'lanes': nan, 'tunnel': nan, 'bridge': nan, 'junction': nan, 'landuse': nan, 'access': nan, 'osmid': 178470940, 'service': nan, 'oneway': False})\n"
     ]
    }
   ],
   "source": [
    "gn.example_edge(gTime,10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "calculate_OD won't run if any of the edge times are null or zero. I think in this case it's edges that are so short that the time was very close to zero but still positive. So we'll reassign time values for those edges to a very small time. A more efficient way to do this would be to simplify junctions with the clean_network() tool, but that was throwing errors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "edges = gn.edge_gdf_from_graph(gTime)\n",
    "len(edges.loc[edges['time'].isnull()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "len(edges.loc[edges['time']==0]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "fail_value = 999999999 # If there is no shortest path, the OD pair will be assigned the fail value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "OD = gn.calculate_OD(gTime, origins, dests, fail_value, weight = 'time')\n",
    "# Takes a few minutes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "OD_df = pd.DataFrame(OD, index = origins, columns = dests)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 985720 entries, 3331684166 to 3706826877\n",
      "Data columns (total 58 columns):\n",
      " #   Column      Non-Null Count   Dtype  \n",
      "---  ------      --------------   -----  \n",
      " 0   6058226279  985720 non-null  float64\n",
      " 1   6029307183  985720 non-null  float64\n",
      " 2   4998093094  985720 non-null  float64\n",
      " 3   2201506815  985720 non-null  float64\n",
      " 4   4321656809  985720 non-null  float64\n",
      " 5   1697006012  985720 non-null  float64\n",
      " 6   1901689169  985720 non-null  float64\n",
      " 7   6032060028  985720 non-null  float64\n",
      " 8   6040927878  985720 non-null  float64\n",
      " 9   3449495495  985720 non-null  float64\n",
      " 10  3990543961  985720 non-null  float64\n",
      " 11  8972391475  985720 non-null  float64\n",
      " 12  3418418812  985720 non-null  float64\n",
      " 13  1983641803  985720 non-null  float64\n",
      " 14  6014451367  985720 non-null  float64\n",
      " 15  6027163276  985720 non-null  float64\n",
      " 16  2833577858  985720 non-null  float64\n",
      " 17  7321088861  985720 non-null  float64\n",
      " 18  6045659373  985720 non-null  float64\n",
      " 19  5528866190  985720 non-null  float64\n",
      " 20  6027939517  985720 non-null  float64\n",
      " 21  6031093257  985720 non-null  float64\n",
      " 22  1883155712  985720 non-null  float64\n",
      " 23  6026417971  985720 non-null  float64\n",
      " 24  6031245697  985720 non-null  float64\n",
      " 25  7493947593  985720 non-null  float64\n",
      " 26  1859359090  985720 non-null  float64\n",
      " 27  6053816462  985720 non-null  float64\n",
      " 28  6027530676  985720 non-null  float64\n",
      " 29  2988435647  985720 non-null  float64\n",
      " 30  7838754747  985720 non-null  float64\n",
      " 31  6053825179  985720 non-null  float64\n",
      " 32  2988435792  985720 non-null  float64\n",
      " 33  3036877534  985720 non-null  float64\n",
      " 34  6056472223  985720 non-null  float64\n",
      " 35  7460241128  985720 non-null  float64\n",
      " 36  6028595154  985720 non-null  float64\n",
      " 37  4053739078  985720 non-null  float64\n",
      " 38  4071261250  985720 non-null  float64\n",
      " 39  6014815775  985720 non-null  float64\n",
      " 40  6024430122  985720 non-null  float64\n",
      " 41  8229317581  985720 non-null  float64\n",
      " 42  6027834438  985720 non-null  float64\n",
      " 43  6024894515  985720 non-null  float64\n",
      " 44  6024894530  985720 non-null  float64\n",
      " 45  6024894513  985720 non-null  float64\n",
      " 46  8169321141  985720 non-null  float64\n",
      " 47  8200304626  985720 non-null  float64\n",
      " 48  1968458114  985720 non-null  float64\n",
      " 49  9359670710  985720 non-null  float64\n",
      " 50  6021177135  985720 non-null  float64\n",
      " 51  6027615161  985720 non-null  float64\n",
      " 52  6027276892  985720 non-null  float64\n",
      " 53  6041228287  985720 non-null  float64\n",
      " 54  5536661253  985720 non-null  float64\n",
      " 55  7357630367  985720 non-null  float64\n",
      " 56  8178147277  985720 non-null  float64\n",
      " 57  6026834850  985720 non-null  float64\n",
      "dtypes: float64(58)\n",
      "memory usage: 443.7 MB\n"
     ]
    }
   ],
   "source": [
    "OD_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
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       "\n",
       "[5 rows x 58 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OD_df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
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       "    </tr>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>985720 rows × 58 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            6058226279  6029307183  4998093094  2201506815  4321656809  \\\n",
       "3331684166  201.437061  183.438114   77.705837   10.523822   54.988160   \n",
       "3571449893  180.941075   69.693489  227.380887  145.502963  154.968874   \n",
       "3571449966  181.327987   70.080401  227.767799  145.889874  155.355785   \n",
       "3405774993   84.307523  151.247430  222.731255  140.853330  150.319241   \n",
       "3405774994   84.708272  150.846681  222.330506  140.452581  149.918492   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "8925478824  284.629451  266.630504   85.583444   92.050503  138.180550   \n",
       "3706826868  166.498713  148.499766  145.234581   63.356656  100.402560   \n",
       "3706826871  166.045830  148.046884  145.687463   63.809539  100.855443   \n",
       "3706826876  166.680305  148.681358  145.052989   63.175064  100.220968   \n",
       "3706826877  166.297751  148.298804  145.435543   63.557618  100.603522   \n",
       "\n",
       "            1697006012  1901689169  6032060028  6040927878  3449495495  ...  \\\n",
       "3331684166  101.624983  123.532276  106.392449   58.919405   92.619861  ...   \n",
       "3571449893  251.300033  273.207326  256.067499  193.754304  227.454760  ...   \n",
       "3571449966  251.686944  273.594238  256.454411  194.141216  227.841672  ...   \n",
       "3405774993  246.650400  268.557694  251.417866  189.104672  222.805127  ...   \n",
       "3405774994  246.249651  268.156945  251.017117  188.703923  222.404378  ...   \n",
       "...                ...         ...         ...         ...         ...  ...   \n",
       "8925478824   52.312390   91.671409   42.257351   43.794244   78.288219  ...   \n",
       "3706826868  169.153727  191.061020  173.921193  111.607998  145.308454  ...   \n",
       "3706826871  169.606609  191.513902  174.374075  112.060880  145.761336  ...   \n",
       "3706826876  168.972134  190.879428  173.739600  111.426405  145.126861  ...   \n",
       "3706826877  169.354688  191.261982  174.122154  111.808959  145.509415  ...   \n",
       "\n",
       "            1968458114  9359670710  6021177135  6027615161  6027276892  \\\n",
       "3331684166  164.674875  221.604637  218.347878  221.906120   82.039055   \n",
       "3571449893  314.349925  371.279687  155.268230  155.008194  231.714105   \n",
       "3571449966  314.736836  371.666599  155.655141  155.395105  232.101017   \n",
       "3405774993  309.700292  366.630055  275.500779  279.059021  227.064473   \n",
       "3405774994  309.299543  366.229306  275.100030  278.658272  226.663724   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "8925478824   80.215145  137.144908  301.540269  305.098510   89.916662   \n",
       "3706826868  232.203618  289.133381  239.071960  242.630202  149.567799   \n",
       "3706826871  232.656501  289.586263  238.619077  242.177319  150.020681   \n",
       "3706826876  232.022026  288.951788  239.253552  242.811794  149.386207   \n",
       "3706826877  232.404580  289.334342  238.870998  242.429240  149.768761   \n",
       "\n",
       "            6041228287  5536661253  7357630367  8178147277  6026834850  \n",
       "3331684166  120.215743  121.134154  126.441497   90.311982  102.435869  \n",
       "3571449893  269.890793  270.809204  276.116547  225.146881  237.270767  \n",
       "3571449966  270.277705  271.196115  276.503459  225.533792  237.657679  \n",
       "3405774993  265.241161  266.159571  271.466915  220.497248  232.621135  \n",
       "3405774994  264.840412  265.758822  271.066166  220.096499  232.220386  \n",
       "...                ...         ...         ...         ...         ...  \n",
       "8925478824   86.858794   86.330530   86.242991   75.980340   82.064386  \n",
       "3706826868  187.744487  188.662898  193.970241  143.000574  155.124461  \n",
       "3706826871  188.197369  189.115780  194.423123  143.453457  155.577344  \n",
       "3706826876  187.562895  188.481305  193.788649  142.818982  154.942869  \n",
       "3706826877  187.945449  188.863859  194.171203  143.201536  155.325423  \n",
       "\n",
       "[985720 rows x 58 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert to minutes and save to file.\n",
    "OD_min = OD_df[OD_df <fail_value] / 60\n",
    "OD_min.to_csv(os.path.join(out_pth, 'OD_allorigins_pre-project.csv'))\n",
    "OD_min"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6058226279    3\n",
      "6029307183    3\n",
      "4998093094    3\n",
      "2201506815    3\n",
      "4321656809    3\n",
      "1697006012    3\n",
      "1901689169    3\n",
      "6032060028    3\n",
      "6040927878    3\n",
      "3449495495    3\n",
      "3990543961    3\n",
      "8972391475    3\n",
      "3418418812    3\n",
      "1983641803    3\n",
      "6014451367    3\n",
      "6027163276    3\n",
      "2833577858    3\n",
      "7321088861    3\n",
      "6045659373    3\n",
      "5528866190    3\n",
      "6027939517    3\n",
      "6031093257    3\n",
      "1883155712    3\n",
      "6026417971    3\n",
      "6031245697    3\n",
      "7493947593    3\n",
      "1859359090    3\n",
      "6053816462    3\n",
      "6027530676    3\n",
      "2988435647    3\n",
      "7838754747    3\n",
      "6053825179    3\n",
      "2988435792    3\n",
      "3036877534    3\n",
      "6056472223    3\n",
      "7460241128    3\n",
      "6028595154    3\n",
      "4053739078    3\n",
      "4071261250    3\n",
      "6014815775    3\n",
      "6024430122    3\n",
      "8229317581    3\n",
      "6027834438    3\n",
      "6024894515    3\n",
      "6024894530    3\n",
      "6024894513    3\n",
      "8169321141    3\n",
      "8200304626    3\n",
      "1968458114    3\n",
      "9359670710    3\n",
      "6021177135    3\n",
      "6027615161    3\n",
      "6027276892    3\n",
      "6041228287    3\n",
      "5536661253    3\n",
      "7357630367    3\n",
      "8178147277    3\n",
      "6026834850    3\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(OD_min.isna().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
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       "      <td>...</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>74662 rows × 58 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            6058226279  6029307183  4998093094  2201506815  4321656809  \\\n",
       "7761872870   62.540071  199.574091  334.952382  253.074457  262.540368   \n",
       "7761872869   62.521511  199.555531  334.933822  253.055898  262.521809   \n",
       "6442044321   61.511679  198.545699  333.923990  252.046066  261.511977   \n",
       "2142496418   62.965201  199.999221  335.377512  253.499588  262.965499   \n",
       "2142496429   63.347575  200.381595  335.759886  253.881962  263.347873   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "9208004175  604.697781  586.698834  372.819926  412.118832  436.274428   \n",
       "3884280043  583.894612  505.360228  395.924739  390.015122  406.178981   \n",
       "3884280001  577.032385  498.498001  389.062512  383.152895  399.316754   \n",
       "8592243457  552.825963  492.091540  364.856090  358.946473  375.110332   \n",
       "3649149740  567.287784  546.711941  379.317911  373.408293  389.572153   \n",
       "\n",
       "            1697006012  1901689169  6032060028  6040927878  3449495495  ...  \\\n",
       "7761872870  358.871528  380.778821  363.638994  301.325799  335.026255  ...   \n",
       "7761872869  358.852968  380.760261  363.620434  301.307239  335.007695  ...   \n",
       "6442044321  357.843136  379.750429  362.610602  300.297407  333.997863  ...   \n",
       "2142496418  359.296658  381.203951  364.064124  301.750929  335.451385  ...   \n",
       "2142496429  359.679032  381.586325  364.446498  302.133303  335.833759  ...   \n",
       "...                ...         ...         ...         ...         ...  ...   \n",
       "9208004175  337.392997  375.732464  320.461560  363.862573  338.248955  ...   \n",
       "3884280043  360.497810  398.837277  343.566373  343.007102  308.414540  ...   \n",
       "3884280001  353.635583  391.975050  336.704146  336.144875  301.552313  ...   \n",
       "8592243457  329.429161  367.768628  312.497724  311.938453  277.345891  ...   \n",
       "3649149740  343.890981  382.230449  326.959545  326.400274  291.807712  ...   \n",
       "\n",
       "            1968458114  9359670710  6021177135  6027615161  6027276892  \\\n",
       "7761872870  421.921419  478.851182  361.543086  361.283051  339.285600   \n",
       "7761872869  421.902860  478.832622  361.524527  361.264491  339.267040   \n",
       "6442044321  420.893028  477.822790  360.514695  360.254659  338.257208   \n",
       "2142496418  422.346550  479.276312  361.968217  361.708181  339.710730   \n",
       "2142496429  422.728924  479.658686  362.350591  362.090555  340.093104   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "9208004175  250.971655  195.260035  598.970357  602.528599  374.336664   \n",
       "3884280043  271.564612  220.106420  350.991642  350.523645  397.441477   \n",
       "3884280001  264.702385  213.244193  344.129415  343.661418  390.579250   \n",
       "8592243457  240.495962  189.037770  337.722953  337.254957  366.372828   \n",
       "3649149740  254.957783  203.499591  392.343354  391.875358  380.834649   \n",
       "\n",
       "            6041228287  5536661253  7357630367  8178147277  6026834850  \n",
       "7761872870  377.462288  378.380699  383.688042  332.718375  344.842262  \n",
       "7761872869  377.443728  378.362139  383.669482  332.699816  344.823703  \n",
       "6442044321  376.433896  377.352307  382.659650  331.689984  343.813871  \n",
       "2142496418  377.887418  378.805829  384.113172  333.143506  345.267393  \n",
       "2142496429  378.269792  379.188203  384.495546  333.525880  345.649767  \n",
       "...                ...         ...         ...         ...         ...  \n",
       "9208004175  370.919849  370.391585  370.304046  340.293731  341.356311  \n",
       "3884280043  394.024663  393.496399  393.408859  317.607340  310.795996  \n",
       "3884280001  387.162436  386.634172  386.546632  310.745113  303.933769  \n",
       "8592243457  362.956013  362.427749  362.340210  286.538691  279.727347  \n",
       "3649149740  377.417834  376.889570  376.802030  301.000511  294.189168  \n",
       "\n",
       "[74662 rows x 58 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create origin-specific matrix and save to file.\n",
    "OD_hamlet = OD_df.loc[list_hamlet,:]\n",
    "OD_hamlet = OD_hamlet[OD_hamlet < fail_value] / 60 \n",
    "OD_hamlet.to_csv(os.path.join(out_pth, 'OD_hamlet_pre-project.csv'))\n",
    "OD_hamlet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6058226279    1\n",
      "6029307183    1\n",
      "4998093094    1\n",
      "2201506815    1\n",
      "4321656809    1\n",
      "1697006012    1\n",
      "1901689169    1\n",
      "6032060028    1\n",
      "6040927878    1\n",
      "3449495495    1\n",
      "3990543961    1\n",
      "8972391475    1\n",
      "3418418812    1\n",
      "1983641803    1\n",
      "6014451367    1\n",
      "6027163276    1\n",
      "2833577858    1\n",
      "7321088861    1\n",
      "6045659373    1\n",
      "5528866190    1\n",
      "6027939517    1\n",
      "6031093257    1\n",
      "1883155712    1\n",
      "6026417971    1\n",
      "6031245697    1\n",
      "7493947593    1\n",
      "1859359090    1\n",
      "6053816462    1\n",
      "6027530676    1\n",
      "2988435647    1\n",
      "7838754747    1\n",
      "6053825179    1\n",
      "2988435792    1\n",
      "3036877534    1\n",
      "6056472223    1\n",
      "7460241128    1\n",
      "6028595154    1\n",
      "4053739078    1\n",
      "4071261250    1\n",
      "6014815775    1\n",
      "6024430122    1\n",
      "8229317581    1\n",
      "6027834438    1\n",
      "6024894515    1\n",
      "6024894530    1\n",
      "6024894513    1\n",
      "8169321141    1\n",
      "8200304626    1\n",
      "1968458114    1\n",
      "9359670710    1\n",
      "6021177135    1\n",
      "6027615161    1\n",
      "6027276892    1\n",
      "6041228287    1\n",
      "5536661253    1\n",
      "7357630367    1\n",
      "8178147277    1\n",
      "6026834850    1\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(OD_hamlet.isna().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>6323434997</th>\n",
       "      <td>619.260559</td>\n",
       "      <td>601.261612</td>\n",
       "      <td>387.382704</td>\n",
       "      <td>426.681610</td>\n",
       "      <td>450.837206</td>\n",
       "      <td>351.955775</td>\n",
       "      <td>390.295242</td>\n",
       "      <td>335.024338</td>\n",
       "      <td>378.425352</td>\n",
       "      <td>352.811733</td>\n",
       "      <td>...</td>\n",
       "      <td>265.534433</td>\n",
       "      <td>209.822813</td>\n",
       "      <td>613.533135</td>\n",
       "      <td>617.091377</td>\n",
       "      <td>388.899442</td>\n",
       "      <td>385.482627</td>\n",
       "      <td>384.954364</td>\n",
       "      <td>384.866824</td>\n",
       "      <td>354.856509</td>\n",
       "      <td>355.919090</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>967552 rows × 58 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            6058226279  6029307183  4998093094  2201506815  4321656809  \\\n",
       "3507831609   83.755636  209.586020  357.741958  275.864033  285.329944   \n",
       "3507831510   90.114132  215.944517  364.100454  282.222530  291.688441   \n",
       "6188134127   25.237636  151.068020  299.223958  217.346033  226.811944   \n",
       "8631201421   96.028962  153.778436  370.015284  288.137359  297.603270   \n",
       "8598305977   53.045224  132.555478  327.031546  245.153621  254.619532   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "3651042474  612.300286  594.301339  380.422432  419.721338  443.876934   \n",
       "3651042508  604.150031  586.151085  372.272177  411.571083  435.726679   \n",
       "3651042501  609.645147  591.646200  377.767292  417.066198  441.221794   \n",
       "3651042393  596.114845  578.115898  364.236990  403.535896  427.691492   \n",
       "6323434997  619.260559  601.261612  387.382704  426.681610  450.837206   \n",
       "\n",
       "            1697006012  1901689169  6032060028  6040927878  3449495495  ...  \\\n",
       "3507831609  381.661103  403.568397  386.428570  324.115375  357.815831  ...   \n",
       "3507831510  388.019600  409.926893  392.787066  330.473871  364.174327  ...   \n",
       "6188134127  323.143103  345.050397  327.910569  265.597374  299.297830  ...   \n",
       "8631201421  393.934429  415.841723  398.701895  336.388701  370.089157  ...   \n",
       "8598305977  350.950691  372.857985  355.718157  293.404963  327.105419  ...   \n",
       "...                ...         ...         ...         ...         ...  ...   \n",
       "3651042474  344.995502  383.334970  328.064066  371.465079  345.851460  ...   \n",
       "3651042508  336.845248  375.184715  319.913811  363.314824  337.701205  ...   \n",
       "3651042501  342.340363  380.679831  325.408927  368.809940  343.196321  ...   \n",
       "3651042393  328.810061  367.149528  311.878624  355.279638  329.666019  ...   \n",
       "6323434997  351.955775  390.295242  335.024338  378.425352  352.811733  ...   \n",
       "\n",
       "            1968458114  9359670710  6021177135  6027615161  6027276892  \\\n",
       "3507831609  444.710995  501.640758  371.555016  371.294980  362.075176   \n",
       "3507831510  451.069492  507.999254  377.913512  377.653477  368.433672   \n",
       "6188134127  386.192995  443.122757  313.037016  312.776980  303.557176   \n",
       "8631201421  456.984321  513.914084  315.747432  315.487396  374.348502   \n",
       "8598305977  414.000583  470.930346  294.524473  294.264438  331.364764   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "3651042474  258.574161  202.862540  606.572863  610.131104  381.939169   \n",
       "3651042508  250.423906  194.712286  598.422608  601.980849  373.788915   \n",
       "3651042501  255.919022  200.207401  603.917723  607.475965  379.284030   \n",
       "3651042393  242.388719  186.677099  590.387421  593.945663  365.753728   \n",
       "6323434997  265.534433  209.822813  613.533135  617.091377  388.899442   \n",
       "\n",
       "            6041228287  5536661253  7357630367  8178147277  6026834850  \n",
       "3507831609  400.251864  401.170274  406.477618  355.507951  367.631838  \n",
       "3507831510  406.610360  407.528771  412.836114  361.866448  373.990334  \n",
       "6188134127  341.733864  342.652274  347.959618  296.989951  309.113838  \n",
       "8631201421  412.525190  413.443600  418.750944  367.781277  379.905164  \n",
       "8598305977  369.541452  370.459862  375.767206  324.797539  336.921426  \n",
       "...                ...         ...         ...         ...         ...  \n",
       "3651042474  378.522355  377.994091  377.906551  347.896237  348.958817  \n",
       "3651042508  370.372100  369.843836  369.756297  339.745982  340.808562  \n",
       "3651042501  375.867216  375.338952  375.251412  345.241098  346.303678  \n",
       "3651042393  362.336913  361.808650  361.721110  331.710795  332.773376  \n",
       "6323434997  385.482627  384.954364  384.866824  354.856509  355.919090  \n",
       "\n",
       "[967552 rows x 58 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create origin-specific matrix and save to file.\n",
    "OD_ag = OD_df.loc[list_ag,:]\n",
    "OD_ag = OD_ag[OD_ag < fail_value] / 60 \n",
    "OD_ag.to_csv(os.path.join(out_pth, 'OD_ag_pre-project.csv'))\n",
    "OD_ag"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6058226279    2\n",
      "6029307183    2\n",
      "4998093094    2\n",
      "2201506815    2\n",
      "4321656809    2\n",
      "1697006012    2\n",
      "1901689169    2\n",
      "6032060028    2\n",
      "6040927878    2\n",
      "3449495495    2\n",
      "3990543961    2\n",
      "8972391475    2\n",
      "3418418812    2\n",
      "1983641803    2\n",
      "6014451367    2\n",
      "6027163276    2\n",
      "2833577858    2\n",
      "7321088861    2\n",
      "6045659373    2\n",
      "5528866190    2\n",
      "6027939517    2\n",
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      "6026417971    2\n",
      "6031245697    2\n",
      "7493947593    2\n",
      "1859359090    2\n",
      "6053816462    2\n",
      "6027530676    2\n",
      "2988435647    2\n",
      "7838754747    2\n",
      "6053825179    2\n",
      "2988435792    2\n",
      "3036877534    2\n",
      "6056472223    2\n",
      "7460241128    2\n",
      "6028595154    2\n",
      "4053739078    2\n",
      "4071261250    2\n",
      "6014815775    2\n",
      "6024430122    2\n",
      "8229317581    2\n",
      "6027834438    2\n",
      "6024894515    2\n",
      "6024894530    2\n",
      "6024894513    2\n",
      "8169321141    2\n",
      "8200304626    2\n",
      "1968458114    2\n",
      "9359670710    2\n",
      "6021177135    2\n",
      "6027615161    2\n",
      "6027276892    2\n",
      "6041228287    2\n",
      "5536661253    2\n",
      "7357630367    2\n",
      "8178147277    2\n",
      "6026834850    2\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(OD_ag.isna().sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Filter 1st nearest"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Check each file to make sure nearest neighbor column is named correctly. If not, rename."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reload from file even if already loaded. Quickest way to ensure NN is a column rather than only the index.\n",
    "OD_hamlet = os.path.join(out_pth, \"OD_hamlet_pre-project.csv\")\n",
    "OD_hamlet = pd.read_csv(OD_hamlet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "OD_ag = os.path.join(out_pth, \"OD_ag_pre-project.csv\")\n",
    "OD_ag = pd.read_csv(OD_ag)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "OD_ag.rename(columns={'Unnamed: 0': 'NN'}, inplace=True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "OD_hamlet.rename(columns={'Unnamed: 0': 'NN'}, inplace=True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>1</th>\n",
       "      <td>3507831510</td>\n",
       "      <td>90.114132</td>\n",
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       "      <td>364.100454</td>\n",
       "      <td>282.222530</td>\n",
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       "      <td>392.787066</td>\n",
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       "      <td>412.836114</td>\n",
       "      <td>361.866448</td>\n",
       "      <td>373.990334</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6188134127</td>\n",
       "      <td>25.237636</td>\n",
       "      <td>151.068020</td>\n",
       "      <td>299.223958</td>\n",
       "      <td>217.346033</td>\n",
       "      <td>226.811944</td>\n",
       "      <td>323.143103</td>\n",
       "      <td>345.050397</td>\n",
       "      <td>327.910569</td>\n",
       "      <td>265.597374</td>\n",
       "      <td>...</td>\n",
       "      <td>386.192995</td>\n",
       "      <td>443.122757</td>\n",
       "      <td>313.037016</td>\n",
       "      <td>312.776980</td>\n",
       "      <td>303.557176</td>\n",
       "      <td>341.733864</td>\n",
       "      <td>342.652274</td>\n",
       "      <td>347.959618</td>\n",
       "      <td>296.989951</td>\n",
       "      <td>309.113838</td>\n",
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       "      <th>3</th>\n",
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       "      <td>412.525190</td>\n",
       "      <td>413.443600</td>\n",
       "      <td>418.750944</td>\n",
       "      <td>367.781277</td>\n",
       "      <td>379.905164</td>\n",
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       "      <th>4</th>\n",
       "      <td>8598305977</td>\n",
       "      <td>53.045224</td>\n",
       "      <td>132.555478</td>\n",
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       "      <td>254.619532</td>\n",
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       "      <td>372.857985</td>\n",
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       "      <td>293.404963</td>\n",
       "      <td>...</td>\n",
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       "      <td>606.572863</td>\n",
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       "      <td>381.939169</td>\n",
       "      <td>378.522355</td>\n",
       "      <td>377.994091</td>\n",
       "      <td>377.906551</td>\n",
       "      <td>347.896237</td>\n",
       "      <td>348.958817</td>\n",
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       "    <tr>\n",
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       "      <td>336.845248</td>\n",
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       "      <td>377.767292</td>\n",
       "      <td>417.066198</td>\n",
       "      <td>441.221794</td>\n",
       "      <td>342.340363</td>\n",
       "      <td>380.679831</td>\n",
       "      <td>325.408927</td>\n",
       "      <td>368.809940</td>\n",
       "      <td>...</td>\n",
       "      <td>255.919022</td>\n",
       "      <td>200.207401</td>\n",
       "      <td>603.917723</td>\n",
       "      <td>607.475965</td>\n",
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       "      <td>375.251412</td>\n",
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       "    <tr>\n",
       "      <th>967550</th>\n",
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       "      <td>596.114845</td>\n",
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       "      <th>967551</th>\n",
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       "4       8598305977   53.045224  132.555478  327.031546  245.153621   \n",
       "...            ...         ...         ...         ...         ...   \n",
       "967547  3651042474  612.300286  594.301339  380.422432  419.721338   \n",
       "967548  3651042508  604.150031  586.151085  372.272177  411.571083   \n",
       "967549  3651042501  609.645147  591.646200  377.767292  417.066198   \n",
       "967550  3651042393  596.114845  578.115898  364.236990  403.535896   \n",
       "967551  6323434997  619.260559  601.261612  387.382704  426.681610   \n",
       "\n",
       "        4321656809  1697006012  1901689169  6032060028  6040927878  ...  \\\n",
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       "967549  441.221794  342.340363  380.679831  325.408927  368.809940  ...   \n",
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       "967551  450.837206  351.955775  390.295242  335.024338  378.425352  ...   \n",
       "\n",
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       "...            ...         ...         ...         ...         ...   \n",
       "967547  258.574161  202.862540  606.572863  610.131104  381.939169   \n",
       "967548  250.423906  194.712286  598.422608  601.980849  373.788915   \n",
       "967549  255.919022  200.207401  603.917723  607.475965  379.284030   \n",
       "967550  242.388719  186.677099  590.387421  593.945663  365.753728   \n",
       "967551  265.534433  209.822813  613.533135  617.091377  388.899442   \n",
       "\n",
       "        6041228287  5536661253  7357630367  8178147277  6026834850  \n",
       "0       400.251864  401.170274  406.477618  355.507951  367.631838  \n",
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       "2       341.733864  342.652274  347.959618  296.989951  309.113838  \n",
       "3       412.525190  413.443600  418.750944  367.781277  379.905164  \n",
       "4       369.541452  370.459862  375.767206  324.797539  336.921426  \n",
       "...            ...         ...         ...         ...         ...  \n",
       "967547  378.522355  377.994091  377.906551  347.896237  348.958817  \n",
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       "967549  375.867216  375.338952  375.251412  345.241098  346.303678  \n",
       "967550  362.336913  361.808650  361.721110  331.710795  332.773376  \n",
       "967551  385.482627  384.954364  384.866824  354.856509  355.919090  \n",
       "\n",
       "[967552 rows x 59 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OD_ag"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
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       "      <td>420.893028</td>\n",
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       "      <th>74658</th>\n",
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       "<p>74662 rows × 59 columns</p>\n",
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      "text/plain": [
       "               NN  6058226279  6029307183  4998093094  2201506815  4321656809  \\\n",
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       "...           ...         ...         ...         ...         ...         ...   \n",
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       "74659  3884280001  577.032385  498.498001  389.062512  383.152895  399.316754   \n",
       "74660  8592243457  552.825963  492.091540  364.856090  358.946473  375.110332   \n",
       "74661  3649149740  567.287784  546.711941  379.317911  373.408293  389.572153   \n",
       "\n",
       "       1697006012  1901689169  6032060028  6040927878  ...  1968458114  \\\n",
       "0      358.871528  380.778821  363.638994  301.325799  ...  421.921419   \n",
       "1      358.852968  380.760261  363.620434  301.307239  ...  421.902860   \n",
       "2      357.843136  379.750429  362.610602  300.297407  ...  420.893028   \n",
       "3      359.296658  381.203951  364.064124  301.750929  ...  422.346550   \n",
       "4      359.679032  381.586325  364.446498  302.133303  ...  422.728924   \n",
       "...           ...         ...         ...         ...  ...         ...   \n",
       "74657  337.392997  375.732464  320.461560  363.862573  ...  250.971655   \n",
       "74658  360.497810  398.837277  343.566373  343.007102  ...  271.564612   \n",
       "74659  353.635583  391.975050  336.704146  336.144875  ...  264.702385   \n",
       "74660  329.429161  367.768628  312.497724  311.938453  ...  240.495962   \n",
       "74661  343.890981  382.230449  326.959545  326.400274  ...  254.957783   \n",
       "\n",
       "       9359670710  6021177135  6027615161  6027276892  6041228287  5536661253  \\\n",
       "0      478.851182  361.543086  361.283051  339.285600  377.462288  378.380699   \n",
       "1      478.832622  361.524527  361.264491  339.267040  377.443728  378.362139   \n",
       "2      477.822790  360.514695  360.254659  338.257208  376.433896  377.352307   \n",
       "3      479.276312  361.968217  361.708181  339.710730  377.887418  378.805829   \n",
       "4      479.658686  362.350591  362.090555  340.093104  378.269792  379.188203   \n",
       "...           ...         ...         ...         ...         ...         ...   \n",
       "74657  195.260035  598.970357  602.528599  374.336664  370.919849  370.391585   \n",
       "74658  220.106420  350.991642  350.523645  397.441477  394.024663  393.496399   \n",
       "74659  213.244193  344.129415  343.661418  390.579250  387.162436  386.634172   \n",
       "74660  189.037770  337.722953  337.254957  366.372828  362.956013  362.427749   \n",
       "74661  203.499591  392.343354  391.875358  380.834649  377.417834  376.889570   \n",
       "\n",
       "       7357630367  8178147277  6026834850  \n",
       "0      383.688042  332.718375  344.842262  \n",
       "1      383.669482  332.699816  344.823703  \n",
       "2      382.659650  331.689984  343.813871  \n",
       "3      384.113172  333.143506  345.267393  \n",
       "4      384.495546  333.525880  345.649767  \n",
       "...           ...         ...         ...  \n",
       "74657  370.304046  340.293731  341.356311  \n",
       "74658  393.408859  317.607340  310.795996  \n",
       "74659  386.546632  310.745113  303.933769  \n",
       "74660  362.340210  286.538691  279.727347  \n",
       "74661  376.802030  301.000511  294.189168  \n",
       "\n",
       "[74662 rows x 59 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OD_hamlet"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Find first, second, and third nearest destination for each origin node. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "fail_value = 999999999"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NN</th>\n",
       "      <th>ag_HD1</th>\n",
       "      <th>ag_HD2</th>\n",
       "      <th>ag_HD3</th>\n",
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       "      <th>0</th>\n",
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       "      <td>82.054823</td>\n",
       "      <td>83.755636</td>\n",
       "      <td>209.586020</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3507831510</td>\n",
       "      <td>88.413319</td>\n",
       "      <td>90.114132</td>\n",
       "      <td>215.944517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6188134127</td>\n",
       "      <td>23.536822</td>\n",
       "      <td>25.237636</td>\n",
       "      <td>151.068020</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8631201421</td>\n",
       "      <td>94.328148</td>\n",
       "      <td>96.028962</td>\n",
       "      <td>153.778436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8598305977</td>\n",
       "      <td>51.344411</td>\n",
       "      <td>53.045224</td>\n",
       "      <td>132.555478</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
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      "text/plain": [
       "           NN     ag_HD1     ag_HD2      ag_HD3\n",
       "0  3507831609  82.054823  83.755636  209.586020\n",
       "1  3507831510  88.413319  90.114132  215.944517\n",
       "2  6188134127  23.536822  25.237636  151.068020\n",
       "3  8631201421  94.328148  96.028962  153.778436\n",
       "4  8598305977  51.344411  53.045224  132.555478"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Nearest\n",
    "OD_ag[\"ag_HD1\"] = 0\n",
    "sub = OD_ag.iloc[:,1:-1] # Filtering out the newly created field and the node ID column. (\"include everything between column 0 and the last column\")\n",
    "OD_ag[\"ag_HD1\"] = sub.min(axis=1) # Default is axis=0, meaning min value of each column selected. We want min of each row.\n",
    "ag1 = OD_ag[['NN', 'ag_HD1']] # Remove unnecessary OD values.\n",
    "\n",
    "\n",
    "# Second nearest\n",
    "dupes = OD_ag.apply(pd.Series.duplicated, axis = 1, keep=False) # If a number is repeated within a row, value is True. If not, False.\n",
    "# The first time this is done, there should be two True values per row, unless any POIs are equidistant.\n",
    "dupes = OD_ag.where(~dupes, fail_value) # For any value that appears more than once in its row, it is replaced with the fail_value.\n",
    "OD_ag[\"ag_HD2\"] = 0\n",
    "Dsub = dupes.iloc[:,1:] # Filtering out the node ID column. No need to filter 1st nearest as its new \"dupes\" value is too high to be caught.\n",
    "OD_ag[\"ag_HD2\"] = Dsub.min(axis=1) \n",
    "ag2 = OD_ag.loc[:,['NN', 'ag_HD2']] \n",
    "\n",
    "\n",
    "# Third nearest\n",
    "dupes = OD_ag.apply(pd.Series.duplicated, axis = 1, keep=False)\n",
    "# Since this includes both first and second nearest columns, there should be four True values per row, unless POIs are equidistant.\n",
    "dupes = OD_ag.where(~dupes, fail_value)\n",
    "\n",
    "OD_ag[\"ag_HD3\"] = 0\n",
    "Dsub = dupes.iloc[:,1:] # Filtering out the node ID column.\n",
    "OD_ag[\"ag_HD3\"] = Dsub.min(axis=1)\n",
    "ag3 = OD_ag.loc[:,['NN', 'ag_HD3']]\n",
    "\n",
    "# Combine and write to file\n",
    "ag_all = OD_ag.loc[:,['NN', 'ag_HD1', 'ag_HD2', 'ag_HD3']]\n",
    "ag_all.to_csv(os.path.join(out_pth, 'ag_to_HDurban_drive_pre-project.csv'))\n",
    "ag_all.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NN</th>\n",
       "      <th>ha_HD1</th>\n",
       "      <th>ha_HD2</th>\n",
       "      <th>ha_HD3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7761872870</td>\n",
       "      <td>62.540071</td>\n",
       "      <td>65.908250</td>\n",
       "      <td>199.574091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7761872869</td>\n",
       "      <td>62.521511</td>\n",
       "      <td>65.889691</td>\n",
       "      <td>199.555531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6442044321</td>\n",
       "      <td>61.511679</td>\n",
       "      <td>64.879859</td>\n",
       "      <td>198.545699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2142496418</td>\n",
       "      <td>62.965201</td>\n",
       "      <td>66.333381</td>\n",
       "      <td>199.999221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2142496429</td>\n",
       "      <td>63.347575</td>\n",
       "      <td>66.715755</td>\n",
       "      <td>200.381595</td>\n",
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      "text/plain": [
       "           NN     ha_HD1     ha_HD2      ha_HD3\n",
       "0  7761872870  62.540071  65.908250  199.574091\n",
       "1  7761872869  62.521511  65.889691  199.555531\n",
       "2  6442044321  61.511679  64.879859  198.545699\n",
       "3  2142496418  62.965201  66.333381  199.999221\n",
       "4  2142496429  63.347575  66.715755  200.381595"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Nearest\n",
    "OD_hamlet[\"ha_HD1\"] = 0\n",
    "sub = OD_hamlet.iloc[:,1:-1] # Filtering out the newly created field and the node ID column. (\"include everything between column 0 and the last column\")\n",
    "OD_hamlet[\"ha_HD1\"] = sub.min(axis=1) # Default is axis=0, meaning min value of each column selected. We want min of each row.\n",
    "hamlet1 = OD_hamlet[['NN', 'ha_HD1']] # Remove unnecessary OD values.\n",
    "\n",
    "\n",
    "# Second nearest\n",
    "dupes = OD_hamlet.apply(pd.Series.duplicated, axis = 1, keep=False) # If a number is repeated within a row, value is True. If not, False.\n",
    "# The first time this is done, there should be two True values per row, unless any POIs are equidistant.\n",
    "dupes = OD_hamlet.where(~dupes, fail_value) # For any value that appears more than once in its row, it is replaced with the fail_value.\n",
    "OD_hamlet[\"ha_HD2\"] = 0\n",
    "Dsub = dupes.iloc[:,1:] # Filtering out the node ID column. No need to filter 1st nearest as its new \"dupes\" value is too high to be caught.\n",
    "OD_hamlet[\"ha_HD2\"] = Dsub.min(axis=1) \n",
    "hamlet2 = OD_hamlet.loc[:,['NN', 'ha_HD2']] \n",
    "\n",
    "\n",
    "# Third nearest\n",
    "dupes = OD_hamlet.apply(pd.Series.duplicated, axis = 1, keep=False)\n",
    "# Since this includes both first and second nearest columns, there should be four True values per row, unless POIs are equidistant.\n",
    "dupes = OD_hamlet.where(~dupes, fail_value)\n",
    "OD_hamlet[\"ha_HD3\"] = 0\n",
    "Dsub = dupes.iloc[:,1:] # Filtering out the node ID column.\n",
    "OD_hamlet[\"ha_HD3\"] = Dsub.min(axis=1)\n",
    "hamlet3 = OD_hamlet.loc[:,['NN', 'ha_HD3']]\n",
    "\n",
    "\n",
    "# Combine and write to file\n",
    "hamlet_all = OD_hamlet.loc[:,['NN', 'ha_HD1', 'ha_HD2', 'ha_HD3']]\n",
    "hamlet_all.to_csv(os.path.join(out_pth, 'hamlet_to_HDurban_drive_pre-project.csv'))\n",
    "hamlet_all.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### End of script. Load into QGIS or Arc and visualize at 10 min intervals. \n",
    "QML file for symbology in QGIS:\n",
    "R:\\GEOGlobal\\Design\\symb_traveltimes_10min.qml"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID_ag</th>\n",
       "      <th>ID_spam</th>\n",
       "      <th>grid_val</th>\n",
       "      <th>ID_LC</th>\n",
       "      <th>val</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>NSnomax</th>\n",
       "      <th>geometry</th>\n",
       "      <th>NN</th>\n",
       "      <th>NN_dist</th>\n",
       "      <th>ag_HD1</th>\n",
       "      <th>ag_HD2</th>\n",
       "      <th>ag_HD3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>13941103</td>\n",
       "      <td>2344.0</td>\n",
       "      <td>2008851.0</td>\n",
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       "      <td>3507831609</td>\n",
       "      <td>397.198533</td>\n",
       "      <td>82.054823</td>\n",
       "      <td>83.755636</td>\n",
       "      <td>209.586049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>13941122</td>\n",
       "      <td>2345.0</td>\n",
       "      <td>94605.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>94605.0</td>\n",
       "      <td>-16.375655</td>\n",
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       "      <td>88.413319</td>\n",
       "      <td>90.114132</td>\n",
       "      <td>215.944545</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13941017</td>\n",
       "      <td>2346.0</td>\n",
       "      <td>708413.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>708413.0</td>\n",
       "      <td>-16.208989</td>\n",
       "      <td>12.208646</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-16.20899 12.20865)</td>\n",
       "      <td>6188134127</td>\n",
       "      <td>17711.673781</td>\n",
       "      <td>23.536822</td>\n",
       "      <td>25.237636</td>\n",
       "      <td>151.068049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>13941036</td>\n",
       "      <td>2402.0</td>\n",
       "      <td>315719.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>315719.0</td>\n",
       "      <td>-16.208492</td>\n",
       "      <td>12.152815</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-16.20849 12.15282)</td>\n",
       "      <td>3507831510</td>\n",
       "      <td>21562.215777</td>\n",
       "      <td>88.413319</td>\n",
       "      <td>90.114132</td>\n",
       "      <td>215.944545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>13941044</td>\n",
       "      <td>2401.0</td>\n",
       "      <td>375288.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>375288.0</td>\n",
       "      <td>-16.294213</td>\n",
       "      <td>12.149487</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-16.29421 12.14949)</td>\n",
       "      <td>3507831510</td>\n",
       "      <td>12874.077085</td>\n",
       "      <td>88.413319</td>\n",
       "      <td>90.114132</td>\n",
       "      <td>215.944545</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>13941119</th>\n",
       "      <td>13941081</td>\n",
       "      <td>3.0</td>\n",
       "      <td>87412.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>87412.0</td>\n",
       "      <td>-15.291536</td>\n",
       "      <td>16.874047</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-15.29154 16.87405)</td>\n",
       "      <td>3651042474</td>\n",
       "      <td>2658.421843</td>\n",
       "      <td>210.161246</td>\n",
       "      <td>211.115529</td>\n",
       "      <td>216.799077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13941120</th>\n",
       "      <td>13941093</td>\n",
       "      <td>6.0</td>\n",
       "      <td>21660.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>21660.0</td>\n",
       "      <td>-15.292326</td>\n",
       "      <td>16.791961</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-15.29233 16.79196)</td>\n",
       "      <td>3651042508</td>\n",
       "      <td>1234.146014</td>\n",
       "      <td>202.010991</td>\n",
       "      <td>202.965275</td>\n",
       "      <td>208.648822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13941121</th>\n",
       "      <td>13941109</td>\n",
       "      <td>2.0</td>\n",
       "      <td>70993.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>70993.0</td>\n",
       "      <td>-15.374255</td>\n",
       "      <td>16.867753</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-15.37425 16.86775)</td>\n",
       "      <td>3651042501</td>\n",
       "      <td>9172.299324</td>\n",
       "      <td>207.506107</td>\n",
       "      <td>208.460390</td>\n",
       "      <td>214.143937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13941122</th>\n",
       "      <td>13941119</td>\n",
       "      <td>5.0</td>\n",
       "      <td>54822.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>54822.0</td>\n",
       "      <td>-15.375659</td>\n",
       "      <td>16.791961</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-15.37566 16.79196)</td>\n",
       "      <td>3651042393</td>\n",
       "      <td>4280.425149</td>\n",
       "      <td>193.975805</td>\n",
       "      <td>194.930088</td>\n",
       "      <td>200.613635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13941123</th>\n",
       "      <td>13941114</td>\n",
       "      <td>7.0</td>\n",
       "      <td>901.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>901.0</td>\n",
       "      <td>-14.875661</td>\n",
       "      <td>16.785873</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-14.87566 16.78587)</td>\n",
       "      <td>6323434997</td>\n",
       "      <td>2922.119100</td>\n",
       "      <td>217.121519</td>\n",
       "      <td>218.075802</td>\n",
       "      <td>223.759349</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>13941124 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             ID_ag  ID_spam   grid_val  ID_LC        val          x  \\\n",
       "0         13941103   2344.0  2008851.0    0.1  2008851.0 -16.458988   \n",
       "1         13941122   2345.0    94605.0    0.1    94605.0 -16.375655   \n",
       "2         13941017   2346.0   708413.0    0.1   708413.0 -16.208989   \n",
       "3         13941036   2402.0   315719.0    0.1   315719.0 -16.208492   \n",
       "4         13941044   2401.0   375288.0    0.1   375288.0 -16.294213   \n",
       "...            ...      ...        ...    ...        ...        ...   \n",
       "13941119  13941081      3.0    87412.0    0.1    87412.0 -15.291536   \n",
       "13941120  13941093      6.0    21660.0    0.1    21660.0 -15.292326   \n",
       "13941121  13941109      2.0    70993.0    0.1    70993.0 -15.374255   \n",
       "13941122  13941119      5.0    54822.0    0.1    54822.0 -15.375659   \n",
       "13941123  13941114      7.0      901.0    0.1      901.0 -14.875661   \n",
       "\n",
       "                  y  NSnomax                    geometry          NN  \\\n",
       "0         12.208646      NaN  POINT (-16.45899 12.20865)  3507831609   \n",
       "1         12.208646      NaN  POINT (-16.37565 12.20865)  3507831510   \n",
       "2         12.208646      NaN  POINT (-16.20899 12.20865)  6188134127   \n",
       "3         12.152815      NaN  POINT (-16.20849 12.15282)  3507831510   \n",
       "4         12.149487      NaN  POINT (-16.29421 12.14949)  3507831510   \n",
       "...             ...      ...                         ...         ...   \n",
       "13941119  16.874047      NaN  POINT (-15.29154 16.87405)  3651042474   \n",
       "13941120  16.791961      NaN  POINT (-15.29233 16.79196)  3651042508   \n",
       "13941121  16.867753      NaN  POINT (-15.37425 16.86775)  3651042501   \n",
       "13941122  16.791961      NaN  POINT (-15.37566 16.79196)  3651042393   \n",
       "13941123  16.785873      NaN  POINT (-14.87566 16.78587)  6323434997   \n",
       "\n",
       "               NN_dist      ag_HD1      ag_HD2      ag_HD3  \n",
       "0           397.198533   82.054823   83.755636  209.586049  \n",
       "1          2881.578460   88.413319   90.114132  215.944545  \n",
       "2         17711.673781   23.536822   25.237636  151.068049  \n",
       "3         21562.215777   88.413319   90.114132  215.944545  \n",
       "4         12874.077085   88.413319   90.114132  215.944545  \n",
       "...                ...         ...         ...         ...  \n",
       "13941119   2658.421843  210.161246  211.115529  216.799077  \n",
       "13941120   1234.146014  202.010991  202.965275  208.648822  \n",
       "13941121   9172.299324  207.506107  208.460390  214.143937  \n",
       "13941122   4280.425149  193.975805  194.930088  200.613635  \n",
       "13941123   2922.119100  217.121519  218.075802  223.759349  \n",
       "\n",
       "[13941124 rows x 14 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ag_to_HDurban['NSnomax'].replace({-9999: np.nan},inplace =True)\n",
    "ag_to_HDurban"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>ID_ag</th>\n",
       "      <th>val</th>\n",
       "      <th>NSnomax</th>\n",
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       "      <th>NN</th>\n",
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       "      <td>70993.0</td>\n",
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       "      <td>POINT (-15.37425 16.86775)</td>\n",
       "      <td>3651042501</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>13941122</th>\n",
       "      <td>13941119</td>\n",
       "      <td>54822.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-15.37566 16.79196)</td>\n",
       "      <td>3651042393</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>13941123</th>\n",
       "      <td>13941114</td>\n",
       "      <td>901.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-14.87566 16.78587)</td>\n",
       "      <td>6323434997</td>\n",
       "      <td>NaN</td>\n",
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      ],
      "text/plain": [
       "             ID_ag        val  NSnomax                    geometry  \\\n",
       "0         13941103  2008851.0      NaN  POINT (-16.45899 12.20865)   \n",
       "1         13941122    94605.0      NaN  POINT (-16.37565 12.20865)   \n",
       "2         13941017   708413.0      NaN  POINT (-16.20899 12.20865)   \n",
       "3         13941036   315719.0      NaN  POINT (-16.20849 12.15282)   \n",
       "4         13941044   375288.0      NaN  POINT (-16.29421 12.14949)   \n",
       "...            ...        ...      ...                         ...   \n",
       "13941119  13941081    87412.0      NaN  POINT (-15.29154 16.87405)   \n",
       "13941120  13941093    21660.0      NaN  POINT (-15.29233 16.79196)   \n",
       "13941121  13941109    70993.0      NaN  POINT (-15.37425 16.86775)   \n",
       "13941122  13941119    54822.0      NaN  POINT (-15.37566 16.79196)   \n",
       "13941123  13941114      901.0      NaN  POINT (-14.87566 16.78587)   \n",
       "\n",
       "                  NN  ag_HD1mm  \n",
       "0         3507831609       NaN  \n",
       "1         3507831510       NaN  \n",
       "2         6188134127       NaN  \n",
       "3         3507831510       NaN  \n",
       "4         3507831510       NaN  \n",
       "...              ...       ...  \n",
       "13941119  3651042474       NaN  \n",
       "13941120  3651042508       NaN  \n",
       "13941121  3651042501       NaN  \n",
       "13941122  3651042393       NaN  \n",
       "13941123  6323434997       NaN  \n",
       "\n",
       "[13941124 rows x 6 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ag_to_HDurban['ag_HD1mm'] = 0 # mm for multi-modal\n",
    "ag_to_HDurban['ag_HD1mm'] = ag_to_HDurban['ag_HD1'] + ag_to_HDurban['NSnomax']\n",
    "# Remove unnecessary data. These data are still saved in the _to_HDurban files.\n",
    "ag_to_HDurban = ag_to_HDurban.drop(columns=['ID_spam', 'grid_val', 'ID_LC', 'x', 'y', 'NN_dist', 'ag_HD1', 'ag_HD2', 'ag_HD3']) \n",
    "ag_to_HDurban"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "50507\n",
      "755160\n"
     ]
    }
   ],
   "source": [
    "print(len(ag_to_HDurban.loc[ag_to_HDurban['ag_HD1mm']>240]), end=\"\\n\") # Number of origins isolated by excessive travel time\n",
    "print(len(ag_to_HDurban.loc[ag_to_HDurban['ag_HD1mm'].isnull()])) # Number of origins isolated by inability to access road"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "crs = \"EPSG:4326\"\n",
    "ag_to_HDurban = GeoDataFrame(ag_to_HDurban, crs=crs, geometry='geometry') \n",
    "ag_to_HDurban.to_file(driver='ESRI Shapefile', filename='C:/Users/wb527163/GEO-Cdrive-Grace/SEN-Cdrive/ag_to_HDurban_mm.shp') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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