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r.catchment.py
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#!/usr/bin/env python
#
############################################################################
#
# MODULE: r.catchment
# AUTHOR(S): Isaac Ullah, Arizona State University
# PURPOSE: Creates a raster buffer of specified area around vector
# points using cost distances. Module requires r.walk.
# ACKNOWLEDGEMENTS: National Science Foundation Grant #BCS0410269
# COPYRIGHT: (C) 2015 by Isaac Ullah, Arizona State University
# This program is free software under the GNU General
# Public License (>=v2). Read the file COPYING that comes
# with GRASS for details.
#
#############################################################################
#%Module
#% description: Creates a raster buffer of specified area around vector points using cost distances using r.walk. NOTE: please run g.region first to make sure region boundaries and resolution match input elevation map.
#% keyword: raster
#% keyword: buffer
#%END
#%option G_OPT_R_INPUT
#% key: elevation
#% description: Input elevation map (DEM)
#% required : yes
#%END
#%option G_OPT_R_INPUT
#% key: in_cost
#% description: Input cost map (This will override the input elevation map, if none specified, one will be created from input elevation map with r.walk)
#% required : no
#%END
#%option G_OPT_V_INPUT
#% key: start_points
#% description: Name of input vector site points map
#% required : yes
#%END
#%option G_OPT_R_INPUT
#% key: friction
#% description: Optional map of friction costs. If no map selected, default friction=0 making output reflect time costs only
#% answer:
#% required : no
#%END
#%option
#% key: a
#% type: double
#% description: Coefficients for walking energy formula parameters a,b,c,d
#% answer: 0.72
#% required : no
#%END
#%option
#% key: b
#% type: double
#% description:
#% answer: 6.0
#% required : no
#%END
#%option
#% key: c
#% type: double
#% description:
#% answer: 1.9998
#% required : no
#%END
#%option
#% key: d
#% type: double
#% description:
#% answer: -1.9998
#% required : no
#%END
#%option
#% key: lambda
#% type: double
#% description: Lambda value for cost distance calculation (for combining friction costs with walking costs)
#% answer: 1
#% required : no
#%END
#%option
#% key: slope_factor
#% type: double
#% description: Slope factor determines travel energy cost per height step
#% answer: -0.2125
#% required : no
#%END
#%option G_OPT_R_OUTPUT
#% key: buffer
#% description: Output buffer map
#% required : yes
#%END
#%option
#% key: sigma
#% type: double
#% description: Slope threshold for mask
#% required: no
#%END
#%option
#% key: area
#% type: integer
#% description: Area of buffer (Integer value to nearest 100 square map units)
#% answer: 5000000
#% required: yes
#%END
#%option
#% key: map_val
#% type: integer
#% description: Integer value for output catchment area (all other areas will be Null)
#% answer: 1
#% required : yes
#%END
#%flag
#% key: k
#% description: Use knight's move for calculating cost surface (slower but more accurate)
#%END
#%flag
#% key: c
#% description: Keep cost surface used to calculate buffers
#%END
#%flag
#% key: l
#% description: Show a list of all cost surface values and the area of the catchment that they delimit
#%END
import sys
import os
import subprocess
# Just in case system can't find where grass.script is
grass_install_tree = os.getenv('GISBASE')
sys.path.append(grass_install_tree + os.sep + 'etc' + os.sep + 'python')
import grass.script as grass
# m is a grass/bash command that will generate some list of keyed info to
# stdout where the keys are numeric values, n is the character that separates
# the key from the data, o is a defined blank dictionary to write results to
def out2dictnum(m, n, o):
"""Execute a grass command, and parse it to a dictionary
This works differently than standard grass.parse_command syntax"""
p1 = subprocess.Popen('%s' % m, stdout=subprocess.PIPE, shell='bash')
p2 = p1.stdout.readlines()
for y in p2:
y0, y1 = y.split('%s' % n)
y0num = float(y0)
o[y0num] = y1.strip('\n')
# main block of code starts here
def main():
"""Creates a raster buffer of specified area around
vector points using cost distances using r.walk."""
pid = os.getpid()
# setting up variables for use later on
elevation = options["elevation"]
start_points = options["start_points"]
lambda_ = options["lambda"]
slope_factor = options["slope_factor"]
a = options["a"]
b = options["b"]
c = options["c"]
d = options["d"]
sigma = options["sigma"]
area = float(options["area"])
buff = options["buffer"]
mapval = options["map_val"]
w_coefs = a + ',' + b + ',' + c + ',' + d
if "MASK" in grass.list_grouped('rast')[grass.gisenv()['MAPSET']] and \
bool(options["sigma"]) is True:
grass.message('There is already a MASK in place, and you have also'
' selected to mask slope values above %s.\n The high slope areas'
' (slope mask) will be temporarily added to current MASKED areas for'
' the calcualtion of the catchment geometry.\n The original MASK will'
' be restored when the module finishes' % sigma)
ismask = 2
tempmask = "temporary.mask.%s" % pid
grass.run_command('g.rename', quiet=True, overwrite=grass.overwrite(),
raster="MASK,%s" % tempmask)
elif "MASK" in grass.list_grouped('rast')[grass.gisenv()['MAPSET']]:
grass.message('There is a MASK in place. The areas MASKed out will'
' be ignored while calculating catchment geometry.')
ismask = 1
else:
ismask = 0
grass.message("Wanted buffer area=%s\n" % int(area))
####################################################
if bool(options["in_cost"]) is True:
grass.verbose('Using input cost surface')
cost = options["in_cost"]
else:
grass.verbose('step 1 of 4: Calculating cost surface')
cost = 'temporary.cost.%s' % pid
if bool(options["friction"]) is True:
grass.verbose('Calculating costs using input friction map')
friction = options["friction"]
else:
grass.verbose('Calculating for time costs only')
friction = "temporary.friction.%s" % pid
grass.mapcalc("${out} = if(isnull(${rast1}), null(), 0)",
overwrite=grass.overwrite(), quiet=True, out=friction,
rast1=elevation)
if flags["k"] is True:
grass.verbose('Using Knight\'s move')
# NOTE! because "lambda" is an internal python variable, it is
# impossible to enter the value for key "lambda" in r.walk.
# It ends up with a python error.
grass.run_command('r.walk', quiet=True, overwrite=grass.overwrite(),
flags='k', elevation=elevation, friction=friction,
output=cost, start_points=start_points,
walk_coeff=w_coefs, memory='100',
slope_factor=slope_factor, lambda_=lambda_)
else:
grass.run_command('r.walk', quiet=True, overwrite=grass.
overwrite(), elevation=elevation, friction=friction,
output=cost, start_points=start_points, memory='100',
walk_coeff=w_coefs, slope_factor=slope_factor,
lambda_=lambda_)
if bool(options["friction"]) is False:
grass.run_command('g.remove', quiet=True, flags='f', type='raster',
name=friction)
#################################################
if bool(options["sigma"]) is True:
grass.verbose('Creating optional slope mask')
slope = "temporary.slope.%s" % pid
grass.run_command('r.slope.aspect', quiet=True,
overwrite=grass.overwrite(), elevation=elevation,
slope=slope)
if ismask == 2:
grass.mapcalc("MASK=if(${rast1} <= ${sigma}, 1, if(${tempmask}, 1,"
" null()))", overwrite=grass.overwrite(), quiet=True,
sigma=sigma, rast1=slope, tempmask=tempmask)
else:
grass.mapcalc("MASK=if(${rast1} <= ${sigma}, 1, null())",
overwrite=grass.overwrite(), quiet=True, sigma=sigma,
rast1=slope)
else:
grass.verbose('No slope mask created')
##################################################
if flags["l"] is True:
grass.message('Calculating list of possible catchment'
' configurations...\ncost value | catchment area')
areadict = {}
out2dictnum('r.stats -Aani input=' + cost +
' separator=, nv=* nsteps=255', ',', areadict)
testarea = 0
#start the loop, and list the values
for key in sorted(areadict):
testarea = testarea + int(float(areadict[key]))
grass.message("%s | %s" % (int(key), testarea))
if flags["c"] is True:
if bool(options["in_cost"]) is False:
grass.run_command('g.rename', overwrite=grass.overwrite(),
quiet=True, rast='temporary.cost.%s,%s_cost_surface'
% (pid, buff))
grass.verbose('Cleaning up...(keeping cost map)')
grass.run_command('g.remove', quiet=True, flags='f',
type='raster', name='cost.reclass.%s' % pid)
else:
grass.verbose('Cleaning up...1')
grass.run_command('g.remove', quiet=True, flags='f',
type='raster', name='cost.reclass.%s' % pid)
else:
if bool(options["in_cost"]) is False:
grass.verbose('Cleaning up...2')
grass.run_command('g.remove', quiet=True, flags='f',
type='raster',
name='cost.reclass.%s,temporary.cost.%s' %
(pid, pid))
else:
grass.verbose('Cleaning up...3')
grass.run_command('g.remove', quiet=True, flags='f',
type='raster', name='cost.reclass.%s' % pid)
if bool(options["sigma"]) is True:
grass.run_command('g.remove', quiet=True, flags='f',
type='raster', name=slope)
if ismask == 2:
grass.message('Reinstating original MASK...')
grass.run_command('g.rename', overwrite=grass.overwrite(),
quiet="True", rast=tempmask + ',MASK')
elif ismask == 0 and bool(options["sigma"]) is True:
grass.run_command('g.remove', quiet=True, flags='f',
type='raster', name='MASK')
elif ismask == 1:
grass.message('Keeping original MASK')
grass.verbose(' DONE!')
return
else:
areadict = {}
out2dictnum('r.stats -Aani input=' + cost +
' separator=, nv=* nsteps=255', ',', areadict)
tot_area = 0
for key in sorted(areadict):
tot_area = tot_area + int(float(areadict[key]))
maxcost = key
grass.message("Maximum cost distance value %s covers an area of %s"
" square map units" % (int(maxcost), tot_area))
grass.verbose("Commencing to find a catchment configuration.....")
testarea = 0
lastarea = 0
lastkey = 0
#start the loop, and home in on the target range
for key in sorted(areadict):
testarea = testarea + int(float(areadict[key]))
if testarea >= area:
break
lastkey = key
lastarea = testarea
if (testarea - area) <= (area - lastarea):
cutoff = key
displayarea = testarea
else:
cutoff = lastkey
displayarea = lastarea
grass.verbose("Catchment configuration found!")
grass.message("Cost cutoff %s produces a catchment of %s square map "
"units." % (int(cutoff), displayarea))
####################################################
grass.verbose('Creating output map')
t = grass.tempfile()
temp = file(t, 'w+')
temp.write('0 thru %s = %s\n' % (int(cutoff), mapval))
temp.flush()
grass.run_command('r.reclass', overwrite=grass.overwrite(), input=cost,
output='cost.reclass.%s' % pid, rules=t)
temp.close()
grass.mapcalc("${out}=if(isnull(${cost}), null(), ${cost})",
overwrite=grass.overwrite(), quiet=True,
cost="cost.reclass.%s" % pid, out=buff)
grass.verbose("The output catchment map will be named %s" % buff)
grass.run_command('r.colors', quiet=True, map=buff, color='ryb')
if flags["c"] is True:
if bool(options["in_cost"]) is False:
grass.run_command('g.rename', overwrite=grass.overwrite(),
quiet=True, rast='temporary.cost.%s,%s_cost_surface'
% (pid, buff))
grass.verbose('Cleaning up...(keeping cost map)')
grass.run_command('g.remove', quiet=True, flags='f',
type='raster', name='cost.reclass.%s' % pid)
else:
grass.verbose('Cleaning up...1')
grass.run_command('g.remove', quiet=True, flags='f',
type='raster', name='cost.reclass.%s' % pid)
else:
if bool(options["in_cost"]) is False:
grass.verbose('Cleaning up...2')
grass.run_command('g.remove', quiet=True, flags='f',
type='raster',
name='cost.reclass.%s,temporary.cost.%s' %
(pid, pid))
else:
grass.verbose('Cleaning up...3')
grass.run_command('g.remove', quiet=True, flags='f',
type='raster', name='cost.reclass.%s' % pid)
if bool(options["sigma"]) is True:
grass.run_command('g.remove', quiet=True, flags='f',
type='raster', name=slope)
if ismask == 2:
grass.message('Reinstating original MASK...')
grass.run_command('g.rename', overwrite=grass.overwrite(),
quiet="True", rast=tempmask + ',MASK')
elif ismask == 0 and bool(options["sigma"]) is True:
grass.run_command('g.remove', quiet=True, flags='f',
type='raster', name='MASK')
elif ismask == 1:
grass.message('Keeping original MASK')
grass.verbose(' DONE!')
return
# here is where the code in "main" actually gets executed.
# This way of programming is neccessary for the way g.parser needs to
# run in GRASS 7.
if __name__ == "__main__":
options, flags = grass.parser()
main()
exit(0)