-
Notifications
You must be signed in to change notification settings - Fork 3
/
v.stream.profiler.multicore
403 lines (382 loc) · 13.1 KB
/
v.stream.profiler.multicore
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
#!/usr/bin/env python
############################################################################
#
# MODULE: v.stream.profiler
#
# AUTHOR(S): Andrew Wickert
#
# PURPOSE: Build long profiles and slope--accumulation (e.g.,
# slope--area) diagrams of a river network
#
# COPYRIGHT: (c) 2016-2018 Andrew Wickert
#
# This program is free software under the GNU General Public
# License (>=v2). Read the file COPYING that comes with GRASS
# for details.
#
#############################################################################
#
# REQUIREMENTS:
# - uses inputs from r.stream.extract
# More information
# Started 14 October 2016
#%module
#% description: Build a linked stream network: each link knows its downstream link
#% keyword: vector
#% keyword: stream network
#% keyword: hydrology
#% keyword: geomorphology
#%end
#%option
#% key: cat
#% label: Starting line segment category
#% required: yes
#% guidependency: layer,column
#%end
#%option G_OPT_V_INPUT
#% key: streams
#% label: Vector input of stream network created by r.stream.extract
#% required: yes
#%end
#%option G_OPT_V_OUTPUT
#% key: outstream
#% label: Vector output stream
#% required: no
#%end
#%option
#% key: direction
#% type: string
#% label: Which directon to march: up or down
#% options: upstream,downstream
#% answer: downstream
#% required: no
#%end
#%option G_OPT_R_INPUT
#% key: elevation
#% label: Topography (DEM)
#% required: no
#%end
#%option G_OPT_R_INPUT
#% key: accumulation
#% label: Flow accumulation raster
#% required: no
#%end
#%option G_OPT_R_INPUT
#% key: slope
#% label: Map of slope created by r.slope.area
#% required: no
#%end
#%option
#% key: units
#% type: string
#% label: Flow accumulation units
#% options: m2, km2, cumecs, cfs
#% required: no
#%end
#%option
#% key: accum_mult
#% type: double
#% label: Multiplier to convert flow accumulation to your chosen unit
#% answer: 1
#% required: no
#%end
#%option G_OPT_R_INPUT
#% key: window
#% label: Averaging distance [map units]
#% required: no
#%end
#%option
#% key: plots
#% type: string
#% label: Plots to generate
#% options: LongProfile,SlopeAccum,SlopeDistance,AccumDistance
#% required: no
#% multiple: yes
#%end
#%option
#% key: outfile_original
#% type: string
#% label: output file for data on original grid
#% required: no
#%end
#%option
#% key: outfile_smoothed
#% type: string
#% label: output file for data on smoothed grid
#% required: no
#%end
#%option
#% key: cores
#% type: integer
#% label: number of processors to use
#% answer: 1
#% required: no
#%end
##################
# IMPORT MODULES #
##################
# PYTHON
import numpy as np
from matplotlib import pyplot as plt
import sys
# GRASS
from grass.pygrass.modules.shortcuts import general as g
from grass.pygrass.modules.shortcuts import raster as r
from grass.pygrass.modules.shortcuts import vector as v
from grass.pygrass.gis import region
from grass.pygrass import vector # Change to "v"?
from grass.script import vector_db_select
from grass.pygrass.vector import Vector, VectorTopo
from grass.pygrass.raster import RasterRow
from grass.pygrass import utils
from grass import script as gscript
from grass.pygrass.vector.geometry import Point
from joblib import Parallel, delayed
###################
# UTILITY MODULES #
###################
def moving_average(x, y, window):
"""
Create a moving average every <window/2> points with an averaging
distance of <window>, but including the the first point + window/2
and the last point - window/2
(so distance to last point could be irregular)
"""
x = np.array(x)
y = np.array(y)
out_x = np.arange(x[0]+window/2., x[-1]-window/2., window)
out_x = np.hstack((out_x, x[-1]-window/2.))
out_y = []
for _x in out_x:
out_y.append( np.mean(y[ (x < _x + window/2.) *
(x > _x - window/2.) ]))
return out_x, out_y
def parallel_raster_query(coords, DEM):
return DEM.get_value(Point(coords[0], coords[1]))
###############
# MAIN MODULE #
###############
def main():
"""
Links each river segment to the next downstream segment in a tributary
network by referencing its category (cat) number in a new column. "0"
means that the river exits the map.
"""
options, flags = gscript.parser()
# Parsing
if options['window'] is not '':
window = float(options['window'])
accum_mult = float(options['accum_mult'])
if options['units'] == 'm2':
accum_label = 'Drainage area [m$^2$]'
elif options['units'] == 'km2':
accum_label = 'Drainage area [km$^2$]'
elif options['units'] == 'cumecs':
accum_label = 'Water discharge [m$^3$ s$^{-1}$]'
elif options['units'] == 'cfs':
accum_label = 'Water discharge [cfs]'
else:
accum_label = 'Flow accumulation [$-$]'
plots = options['plots'].split(',')
options['cores'] = int(options['cores'])
# Attributes of streams
colNames = np.array(vector_db_select(options['streams'])['columns'])
colValues = np.array(vector_db_select(options['streams'])['values'].values())
tostream = colValues[:,colNames == 'tostream'].astype(int).squeeze()
cats = colValues[:,colNames == 'cat'].astype(int).squeeze() # = "fromstream"
# We can loop over this list to get the shape of the full river network.
selected_cats = []
segment = int(options['cat'])
selected_cats.append(segment)
x = []
z = []
if options['direction'] == 'downstream':
# Get network
gscript.message("Network")
while selected_cats[-1] != 0:
selected_cats.append(int(tostream[cats == selected_cats[-1]]))
x.append(selected_cats[-1])
selected_cats = selected_cats[:-1] # remove 0 at end
# Extract x points in network
data = vector.VectorTopo(options['streams']) # Create a VectorTopo object
data.open('r') # Open this object for reading
coords = []
_i = 0
for i in range(len(data)):
if type(data.read(i+1)) is vector.geometry.Line:
if data.read(i+1).cat in selected_cats:
coords.append(data.read(i+1).to_array())
gscript.core.percent(_i, len(selected_cats), 100./len(selected_cats))
_i += 1
gscript.core.percent(1, 1, 1)
coords = np.vstack(np.array(coords))
_dx = np.diff(coords[:,0])
_dy = np.diff(coords[:,1])
x_downstream_0 = np.hstack((0, np.cumsum((_dx**2 + _dy**2)**.5)))
x_downstream = x_downstream_0.copy()
elif options['direction'] == 'upstream':
#terminalCATS = list(options['cat'])
#while terminalCATS:
#
print "Upstream direction not yet active!"
return
"""
# Add new lists for each successive upstream river
river_is_upstream =
while
full_river_cats
"""
# Network extraction
if options['outstream'] is not '':
selected_cats_str = list(np.array(selected_cats).astype(str))
selected_cats_csv = ','.join(selected_cats_str)
v.extract( input=options['streams'], output=options['outstream'], \
cats=selected_cats_csv, overwrite=gscript.overwrite() )
# Analysis
gscript.message("Elevation")
if options['elevation']:
_include_z = True
DEM = RasterRow(options['elevation'])
DEM.open('r')
z = []
_i = 0
_lasti = 0
if options['cores'] == 1:
for row in coords:
z.append(DEM.get_value(Point(row[0], row[1])))
if float(_i)/len(coords) > float(_lasti)/len(coords):
gscript.core.percent(_i, len(coords), np.floor(_i - _lasti))
_lasti = _i
_i += 1
else:
Parallel(n_jobs=options['cores'])\
(delayed(parallel_raster_query)(row, DEM) for row in coords)
#Parallel(delayed(DEM.get_value)(Point(row[0], row[1])) \
#for row in coords)
DEM.close()
z = np.array(z)
z_0 = z.copy()
if options['window'] is not '':
x_downstream, z = moving_average(x_downstream_0, z, window)
gscript.core.percent(1, 1, 1)
else:
_include_z = False
gscript.message("Slope")
if options['slope']:
_include_S = True
slope = RasterRow(options['slope'])
slope.open('r')
S = []
_i = 0
_lasti = 0
for row in coords:
S.append(slope.get_value(Point(row[0], row[1])))
if float(_i)/len(coords) > float(_lasti)/len(coords):
gscript.core.percent(_i, len(coords), np.floor(_i - _lasti))
_lasti = _i
_i += 1
slope.close()
S = np.array(S)
S_0 = S.copy()
if options['window'] is not '':
x_downstream, S = moving_average(x_downstream_0, S, window)
gscript.core.percent(1, 1, 1)
else:
_include_S = False
gscript.message("Accumulation")
if options['accumulation']:
_include_A = True
accumulation = RasterRow(options['accumulation'])
accumulation.open('r')
A = []
_i = 0
_lasti = 0
for row in coords:
A.append(accumulation.get_value(Point(row[0], row[1])) * accum_mult)
if float(_i)/len(coords) > float(_lasti)/len(coords):
gscript.core.percent(_i, len(coords), np.floor(_i - _lasti))
_lasti = _i
_i += 1
accumulation.close()
A = np.array(A)
A_0 = A.copy()
if options['window'] is not '':
x_downstream, A = moving_average(x_downstream_0, A, window)
gscript.core.percent(1, 1, 1)
else:
_include_A = False
# Plotting
if 'LongProfile' in plots:
plt.figure()
plt.plot(x_downstream/1000., z, 'k-', linewidth=2)
plt.xlabel('Distance downstream [km]', fontsize=16)
plt.ylabel('Elevation [m]', fontsize=20)
plt.tight_layout()
if 'SlopeAccum' in plots:
plt.figure()
plt.loglog(A, S, 'ko', linewidth=2)
plt.xlabel(accum_label, fontsize=20)
plt.ylabel('Slope [$-$]', fontsize=20)
plt.tight_layout()
if 'SlopeDistance' in plots:
plt.figure()
plt.plot(x_downstream/1000., S, 'k-', linewidth=2)
plt.xlabel('Distance downstream [km]', fontsize=16)
plt.ylabel('Slope [$-$]', fontsize=20)
plt.tight_layout()
if 'AccumDistance' in plots:
plt.figure()
plt.plot(x_downstream/1000., A, 'k-', linewidth=2)
plt.xlabel('Distance downstream [km]', fontsize=16)
plt.ylabel(accum_label, fontsize=20)
plt.tight_layout()
plt.show()
# Saving data
if options['outfile_original'] is not '':
header = ['x_downstream', 'E', 'N']
outfile = np.hstack((np.expand_dims(x_downstream_0, axis=1), coords))
if _include_z:
header.append('elevation')
outfile = np.hstack((outfile, np.expand_dims(z_0, axis=1)))
if _include_S:
header.append('slope')
outfile = np.hstack((outfile, np.expand_dims(S_0, axis=1)))
if _include_A:
if (options['units'] == 'm2') or (options['units'] == 'km2'):
header.append('drainage_area_'+options['units'])
elif (options['units'] == 'cumecs') or (options['units'] == 'cfs'):
header.append('water_discharge_'+options['units'])
else:
header.append('flow_accumulation_arbitrary_units')
outfile = np.hstack((outfile, np.expand_dims(A_0, axis=1)))
header = np.array(header)
outfile = np.vstack((header, outfile))
np.savetxt(options['outfile_original'], outfile, '%s')
if options['outfile_smoothed'] is not '':
header = ['x_downstream', 'E', 'N']
# E, N on smoothed grid
x_downstream, E = moving_average(x_downstream_0, coords[:,0], window)
x_downstream, N = moving_average(x_downstream_0, coords[:,1], window)
# Back to output
outfile = np.hstack((np.expand_dims(x_downstream, axis=1),
np.expand_dims(E, axis=1),
np.expand_dims(N, axis=1)))
if _include_z:
header.append('elevation')
outfile = np.hstack((outfile, np.expand_dims(z, axis=1)))
if _include_S:
header.append('slope')
outfile = np.hstack((outfile, np.expand_dims(S, axis=1)))
if _include_A:
if (options['units'] == 'm2') or (options['units'] == 'km2'):
header.append('drainage_area_'+options['units'])
elif (options['units'] == 'cumecs') or (options['units'] == 'cfs'):
header.append('water_discharge_'+options['units'])
else:
header.append('flow_accumulation_arbitrary_units')
outfile = np.hstack((outfile, np.expand_dims(A, axis=1)))
header = np.array(header)
outfile = np.vstack((header, outfile))
np.savetxt(options['outfile_smoothed'], outfile, '%s')
if __name__ == "__main__":
main()