More Land survey tools

ProjectDrawdown · May 26, 2019 · 2213501 · 2213501
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commit 2213501
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Showing 17 changed files with 529 additions and 171 deletions.
diff --git a/Drawdown.ipynb b/Drawdown.ipynb
@@ -16,9 +16,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "890d4a74f5994655b9d2420ae90ef894",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "VBox(children=(HBox(children=(VBox(children=(HBox(children=(HTML(value='<div style=\"font-size:large;background…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "import ui.charts\n",
     "s = ui.charts.JupyterUI()\n",
@@ -27,9 +42,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "cd9655b3c7d54828a14f204c2edf20df",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Tab(children=(Output(), Accordion(children=(Output(), Output()), layout=Layout(width='90%'), _titles={'0': 'so…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "display(s.get_detailed_results_tabs())"
    ]
@@ -65,7 +95,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.6.8"
   }
  },
  "nbformat": 4,

diff --git a/ModelHealth.ipynb b/ModelHealth.ipynb
@@ -12,13 +12,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "7a77607f23bb47f8b2b79da46ff4190f",
+       "model_id": "af048bde14894acd9c9026259790f091",
        "version_major": 2,
        "version_minor": 0
       },
@@ -168,35 +168,83 @@
     "                                  title=\"Linearity of PDS Adoption\")\n",
     "r2_value_chart.layout.width = '100%'\n",
     "\n",
-    "\n",
-    "# ------------------- Land Solution Analytics -------------------\n",
-    "\n",
-    "\n",
-    "ls_df = pd.read_csv(os.path.join('data', 'health', 'landsurvey.csv'), index_col=0)\n",
-    "\n",
-    "# Note: assuming most agressive scenario of each solution\n",
-    "perc_tla_comp = charts.soln_comparison(ls_df['% tla'].to_frame(),\n",
-    "                                       title='% of land allocation reached')\n",
-    "abatement_cost_comp = charts.soln_comparison(ls_df['avg abatement cost'].to_frame(),\n",
-    "                                             title='Average abatement cost ($/tCO2)')\n",
-    "\n",
     "ipywidgets.VBox([\n",
     "    ipywidgets.HBox([soln_count_fig, pds_adoption_fig, ref_adoption_fig]),\n",
     "    scenarios_per_solution_chart,\n",
     "    ipywidgets.HBox([tam_regional_nonzero_fig, tam_regional_chart]),\n",
     "    ipywidgets.HBox([ad_regional_nonzero_fig, ad_regional_chart]),\n",
     "    r2_value_chart,\n",
-    "    ipywidgets.HBox([perc_tla_comp, abatement_cost_comp])\n",
     "])\n",
     "\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "a7bd86125aeb4f2f9d901f72861c30f1",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "VBox(children=(HBox(children=(Figure(axes=[Axis(grid_lines='none', orientation='vertical', scale=OrdinalScale(…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# ------------------- Land Solution Analytics -------------------\n",
+    "\n",
+    "ls_df = pd.read_csv(os.path.join('data', 'health', 'landsurvey.csv'), index_col=0)\n",
+    "\n",
+    "# Comparison charts ---------------------------------------------\n",
+    "# Note: assuming most agressive scenario of each solution\n",
+    "perc_tla_comp = charts.soln_comparison(ls_df['% tla'].to_frame(),\n",
+    "                                       title='% of land allocation reached')\n",
+    "perc_world_alloc_comp = charts.soln_comparison(ls_df['% world alloc'].to_frame(),\n",
+    "                                       title='% of World land allocated to solution')\n",
+    "abatement_cost_comp = charts.soln_comparison(ls_df['avg abatement cost'].to_frame(),\n",
+    "                                             title='Average abatement cost ($/tCO2)')\n",
+    "\n",
+    "# Has regions ---------------------------------------------\n",
+    "has_regions = ls_df['has regional data']\n",
+    "has_reg_pie = bqplot.Pie(sizes=[len(has_regions[has_regions]), len(has_regions[has_regions == False])],\n",
+    "                         labels=['YES', 'NO'], colors=['Green', 'Red'], display_values=True, values_format='d',\n",
+    "                         display_labels='inside', radius=120)\n",
+    "land_has_reg = bqplot.Figure(marks=[has_reg_pie], title='Has regional adoption data? (Land solutions)')\n",
+    "land_has_reg.fig_margin = {'left':1, 'right':1, 'top':1, 'bottom':1}\n",
+    "\n",
+    "# Regional issues ---------------------------------------------\n",
+    "no_issues = exceeds_limits = regions_mismatch = both_issues = 0\n",
+    "for i, row in ls_df[has_regions].iterrows():\n",
+    "    limits_flag = mismatch_flag = False\n",
+    "    if row['ca scen regions exceed world count'] > 0 or row['ca scen world exceeds regions count'] > 0:\n",
+    "        mismatch_flag = True\n",
+    "    if row['ca scen exceeds alloc count'] > 0: limits_flag = True\n",
+    "    if mismatch_flag and limits_flag: both_issues += 1\n",
+    "    elif mismatch_flag: regions_mismatch += 1\n",
+    "    elif limits_flag: exceeds_limits += 1\n",
+    "    else: no_issues += 1\n",
+    "        \n",
+    "reg_issues_pie = bqplot.Pie(sizes=[no_issues, exceeds_limits, regions_mismatch, both_issues],\n",
+    "                            labels=['No issues', 'Exceeds limits', 'Regions-world mismatch', 'Both issues'],\n",
+    "                            display_values=True, values_format='d', display_labels='outside', radius=150)\n",
+    "reg_issues = bqplot.Figure(marks=[reg_issues_pie], title='Issues with regional data in Custom Adoption scenarios')\n",
+    "reg_issues.layout.width = '800px'\n",
+    "reg_issues.fig_margin = {'left':1, 'right':1, 'top':1, 'bottom':1}\n",
+    "\n",
+    "ipywidgets.VBox([\n",
+    "    ipywidgets.HBox([perc_tla_comp, perc_world_alloc_comp]),\n",
+    "    ipywidgets.HBox([abatement_cost_comp]),\n",
+    "    ipywidgets.HBox([land_has_reg, reg_issues])\n",
+    "])"
+   ]
   },
   {
    "cell_type": "code",

diff --git a/PopulationDemo.ipynb b/PopulationDemo.ipynb
@@ -135,7 +135,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.6.8"
   }
  },
  "nbformat": 4,

diff --git a/data/health/landsurvey.csv b/data/health/landsurvey.csv
@@ -1,20 +1,21 @@
-Solution,% tla,avg abatement cost,model type,ca violates alloc,ca violates max tla
-afforestation,100.0,0.8181131866837564,core,False,False
-bamboo,79.92191860208601,1.435362687930254,core,False,False
-conservationagriculture,51.01233731371465,-28.067014490845906,yield,False,False
-farmlandrestoration,93.26368042382134,10.885137938318305,core,False,False
-forestprotection,92.82261256755088,-0.0,protect,False,False
-improvedrice,87.11322037774434,-3.4411664335937586,core,False,False
-indigenouspeoplesland,95.85229954635274,-0.0,protect,False,False
-irrigationefficiency,100.00000000000004,-19.460655670610176,core,True,False
-managedgrazing,60.86060961055894,206.5210504616984,yield,False,False
-multistrataagroforestry,30.191677772222413,0.9509324430404505,core,False,False
-nutrientmanagement,91.20283496104622,-2.7980723577670523,core,False,False
-peatlands,99.03852328101632,-0.0,core,False,False
-perennialbioenergy,100.0,25.785808851943987,core,False,False
-regenerativeagriculture,71.31869674706621,-13.42572289410737,yield,False,False
-riceintensification,100.0,-0.21293679151627978,yield,False,False
-silvopasture,59.078159324925544,4.117918039226432,yield,False,False
-treeintercropping,99.99999999999999,3.4856400043842255,yield,False,False
-tropicalforests,85.05551604572551,-0.0,core,False,False
-tropicaltreestaples,89.62757393562609,19.740980497844593,core,False,False
+Solution,% tla,% world alloc,avg abatement cost,model type,has regional data,ca exceeds alloc,ca exceeds max tla,ca scen exceeds alloc count,ca scen exceeds max tla count,ca scen regions exceed world count,ca scen world exceeds regions count
+afforestation,100.0,3.5561001556284815,0.8181131866837564,core,True,False,False,5,0,3,0
+bamboo,79.92191860208601,0.9305703724234214,1.435362687930254,core,True,True,False,3,0,0,0
+conservationagriculture,51.01233731371465,6.317720007799282,-28.067014490845906,yield,True,False,False,0,0,1,0
+farmlandrestoration,93.26368042382134,3.186865467789492,10.885137938318344,core,False,False,False,0,0,0,0
+forestprotection,92.82261256755088,8.496675659518786,-0.0,protect,False,False,False,0,0,0,0
+improvedrice,87.11322037774434,0.8606359894455311,-3.4411664335937586,core,True,False,False,5,0,3,5
+indigenouspeoplesland,95.85229954635274,10.38577868906691,-0.0,protect,False,False,False,0,0,0,0
+irrigationefficiency,100.00000000000004,1.9721255689745096,-19.460655670610176,core,True,True,False,3,0,2,0
+managedgrazing,60.86060961055894,7.614386639844191,206.5210504616984,yield,True,False,False,3,0,0,4
+multistrataagroforestry,30.191677772222413,3.072043184598311,0.9509324430404505,core,False,False,False,0,0,0,0
+nutrientmanagement,91.20283496104622,11.362825695576404,-2.7980723577670523,core,True,False,False,1,0,0,1
+peatlands,99.03852328101632,2.957079080830361,-0.0,core,False,False,False,0,0,0,0
+perennialbioenergy,100.0,0.5965099622702997,25.785808851943987,core,False,False,False,1,0,0,0
+regenerativeagriculture,71.31869674706621,6.317660007446539,-13.42572289410737,yield,True,False,False,0,0,0,0
+riceintensification,100.0,0.44619757678573857,-0.21293679151627978,yield,False,False,False,0,0,0,0
+silvopasture,59.078159324925544,7.488335317552567,4.117918039226432,yield,True,False,False,2,0,0,0
+temperateforests,74.06389634420083,1.56911927087348,-0.0,core,False,False,False,0,0,0,0
+treeintercropping,99.99999999999999,3.7190390616707973,3.4856400043842255,yield,False,False,False,0,0,0,0
+tropicalforests,85.05551604572551,2.4373497345548163,-0.0,core,False,False,False,0,0,0,0
+tropicaltreestaples,89.62757393562609,1.3579164884616632,19.740980497844593,core,False,False,False,0,0,0,0
diff --git a/data/land/aez/solution_aez_matrix.csv b/data/land/aez/solution_aez_matrix.csv
@@ -1,25 +1,25 @@
 Solutions,"AEZ1: Forest, prime, minimal","AEZ2: Forest, good, minimal","AEZ3: Forest, good, moderate","AEZ4: Forest, good, steep","AEZ5: Forest, marginal, minimal","AEZ6: Forest, marginal, moderate","AEZ7: Forest, marginal, steep","AEZ8: Grassland, prime, minimal","AEZ9: Grassland, good, minimal","AEZ10: Grassland, good, moderate","AEZ11: Grassland, good, steep","AEZ12: Grassland, marginal, minimal","AEZ13: Grassland, marginal, moderate","AEZ14: Grassland, marginal, steep","AEZ15: Irrigated Cropland, prime, minimal","AEZ16: Irrigated Cropland, good, minimal","AEZ17: Irrigated Cropland, good, moderate","AEZ18: Irrigated Cropland, good, steep","AEZ19: Irrigated Cropland, marginal, minimal","AEZ20: Irrigated Cropland, marginal, moderate","AEZ21: Irrigated Cropland, marginal, steep","AEZ22: Rainfed Cropland, prime, minimal","AEZ23: Rainfed Cropland, good, minimal","AEZ24: Rainfed Cropland, good, moderate","AEZ25: Rainfed Cropland, good, steep","AEZ26: Rainfed Cropland, marginal, minimal","AEZ27: Rainfed Cropland, marginal, moderate","AEZ28: Rainfed Cropland, marginal, steep",AEZ29: All Barren Land
-Biochar,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no
-SRI,no,no,no,no,no,no,no,no,no,no,no,no,no,no,yes,yes,yes,no,yes,yes,yes,yes,yes,yes,no,yes,yes,no,no
-Regenerative Agriculture,no,no,no,no,no,no,no,no,no,no,no,no,no,no,yes,yes,yes,no,yes,yes,no,yes,yes,yes,no,yes,yes,no,no
-Farmland Restoration,no,no,no,no,no,no,no,yes,yes,yes,yes,yes,yes,yes,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no
-Smallholder Intensification,no,no,no,no,no,no,no,no,no,no,no,no,no,no,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,no
-Conservation Agriculture,no,no,no,no,no,no,no,no,no,no,no,no,no,no,yes,yes,yes,no,yes,yes,no,yes,yes,yes,no,yes,yes,no,no
-Improved Rice,no,no,no,no,no,no,no,no,no,no,no,no,no,no,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,no,yes,yes,no,no
-Irrigation Efficiency,no,no,no,no,no,no,no,no,no,no,no,no,no,no,yes,yes,yes,yes,yes,yes,yes,no,no,no,no,no,no,no,no
-Nutrient Management,no,no,no,no,no,no,no,no,no,no,no,no,no,no,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,no
-Tree Intercropping,no,no,no,no,no,no,no,no,no,no,no,no,no,no,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,no
-Managed Grazing,no,no,no,no,no,no,no,yes,yes,yes,yes,yes,yes,yes,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no
-Livestock Feed Modifications,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no
-Silvopasture,no,no,no,no,no,no,no,yes,yes,yes,yes,yes,yes,yes,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no
-Tropical Tree Staples,no,no,no,no,no,no,no,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,no
-Perennial Bioenergy Crops,no,no,no,no,no,no,no,yes,yes,yes,yes,yes,yes,yes,no,no,no,no,no,no,no,no,no,yes,yes,no,yes,yes,no
-Multistrata Agroforestry,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,no
-Bamboo,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,no,no,no,no,no,no,no,no,no,yes,yes,no,yes,yes,no
-Afforestation,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,no,no,no,no,no,no,no,no,no,yes,yes,no,yes,yes,no
-Forest Protection,yes,yes,yes,yes,yes,yes,yes,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no
-IP Forest Management,yes,yes,yes,yes,yes,yes,yes,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no
-Peatland Protection,yes,yes,yes,yes,yes,yes,yes,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no
-Temperate Forest Restoration,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,no,no,no,no,no,no,no,no,no,yes,yes,no,yes,yes,no
-Tropical Forest Restoration,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,yes,no,no,no,no,no,no,no,no,no,yes,yes,no,yes,yes,no
-Wetland Protection,yes,yes,yes,yes,yes,yes,yes,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no,no
+Biochar,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False
+SRI,False,False,False,False,False,False,False,False,False,False,False,False,False,False,True,True,True,False,True,True,True,True,True,True,False,True,True,False,False
+Regenerative Agriculture,False,False,False,False,False,False,False,False,False,False,False,False,False,False,True,True,True,False,True,True,False,True,True,True,False,True,True,False,False
+Farmland Restoration,False,False,False,False,False,False,False,True,True,True,True,True,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False
+Smallholder Intensification,False,False,False,False,False,False,False,False,False,False,False,False,False,False,True,True,True,True,True,True,True,True,True,True,True,True,True,True,False
+Conservation Agriculture,False,False,False,False,False,False,False,False,False,False,False,False,False,False,True,True,True,False,True,True,False,True,True,True,False,True,True,False,False
+Improved Rice,False,False,False,False,False,False,False,False,False,False,False,False,False,False,True,True,True,True,True,True,True,True,True,True,False,True,True,False,False
+Irrigation Efficiency,False,False,False,False,False,False,False,False,False,False,False,False,False,False,True,True,True,True,True,True,True,False,False,False,False,False,False,False,False
+Nutrient Management,False,False,False,False,False,False,False,False,False,False,False,False,False,False,True,True,True,True,True,True,True,True,True,True,True,True,True,True,False
+Tree Intercropping,False,False,False,False,False,False,False,False,False,False,False,False,False,False,True,True,True,True,True,True,True,True,True,True,True,True,True,True,False
+Managed Grazing,False,False,False,False,False,False,False,True,True,True,True,True,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False
+Livestock Feed Modifications,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False
+Silvopasture,False,False,False,False,False,False,False,True,True,True,True,True,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False
+Tropical Tree Staples,False,False,False,False,False,False,False,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,False
+Perennial Bioenergy Crops,False,False,False,False,False,False,False,True,True,True,True,True,True,True,False,False,False,False,False,False,False,False,False,True,True,False,True,True,False
+Multistrata Agroforestry,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,True,False
+Bamboo,True,True,True,True,True,True,True,True,True,True,True,True,True,True,False,False,False,False,False,False,False,False,False,True,True,False,True,True,False
+Afforestation,True,True,True,True,True,True,True,True,True,True,True,True,True,True,False,False,False,False,False,False,False,False,False,True,True,False,True,True,False
+Forest Protection,True,True,True,True,True,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False
+IP Forest Management,True,True,True,True,True,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False
+Peatland Protection,True,True,True,True,True,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False
+Temperate Forest Restoration,True,True,True,True,True,True,True,True,True,True,True,True,True,True,False,False,False,False,False,False,False,False,False,True,True,False,True,True,False
+Tropical Forest Restoration,True,True,True,True,True,True,True,True,True,True,True,True,True,True,False,False,False,False,False,False,False,False,False,True,True,False,True,True,False
+Wetland Protection,True,True,True,True,True,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False,False