def normalize_raster(in_raster, normalization_method=NM_MAX, invert=False):
"""Normalize values in in_raster.
Normalize values in in_raster using score range or max score method,
with optional inversion.
"""
lm_util.build_stats(in_raster)
result = arcpy.GetRasterProperties_management(in_raster, "MINIMUM")
min_val = float(result.getOutput(0))
result = arcpy.GetRasterProperties_management(in_raster, "MAXIMUM")
max_val = float(result.getOutput(0))
if max_val > 0:
if normalization_method == NM_SCORE:
if invert:
return (max_val - in_raster) / (max_val - min_val)
return (in_raster - min_val) / (max_val - min_val)
else: # Max score normalization
if invert:
return (max_val + min_val - in_raster) / max_val
return in_raster / max_val
else:
return in_raster * 0
def calc_lccs(normalize):
try:
if normalize:
mosaicBaseName = "_corridors"
writeTruncRaster = cfg.WRITETRUNCRASTER
outputGDB = cfg.OUTPUTGDB
SAVENORMLCCS = cfg.SAVENORMLCCS
else:
mosaicBaseName = "_NON_NORMALIZED_corridors"
SAVENORMLCCS = False
outputGDB = cfg.EXTRAGDB
writeTruncRaster = False
lu.dashline(1)
gprint('Running script ' + _SCRIPT_NAME)
linkTableFile = lu.get_prev_step_link_table(step=5)
arcpy.env.workspace = cfg.SCRATCHDIR
arcpy.env.scratchWorkspace = cfg.ARCSCRATCHDIR
arcpy.env.compression = "NONE"
if cfg.MAXEUCDIST is not None:
gprint('Max Euclidean distance between cores')
gprint('for linkage mapping set to ' +
str(cfg.MAXEUCDIST))
if cfg.MAXCOSTDIST is not None:
gprint('Max cost-weighted distance between cores')
gprint('for linkage mapping set to ' +
str(cfg.MAXCOSTDIST))
# set the analysis extent and cell size to that of the resistance
# surface
arcpy.env.extent = cfg.RESRAST
arcpy.env.cellSize = arcpy.Describe(cfg.RESRAST).MeanCellHeight
arcpy.env.snapRaster = cfg.RESRAST
arcpy.env.mask = cfg.RESRAST
linkTable = lu.load_link_table(linkTableFile)
numLinks = linkTable.shape[0]
numCorridorLinks = lu.report_links(linkTable)
if numCorridorLinks == 0:
lu.dashline(1)
msg =('\nThere are no corridors to map. Bailing.')
lu.raise_error(msg)
if not cfg.STEP3 and not cfg.STEP4:
# re-check for links that are too long or in case script run out of
# sequence with more stringent settings
gprint('Double-checking for corridors that are too long to map.')
DISABLE_LEAST_COST_NO_VAL = True
linkTable,numDroppedLinks = lu.drop_links(
linkTable, cfg.MAXEUCDIST, cfg.MINEUCDIST, cfg.MAXCOSTDIST,
cfg.MINCOSTDIST, DISABLE_LEAST_COST_NO_VAL)
# Added to try to speed up:
arcpy.env.pyramid = "NONE"
arcpy.env.rasterStatistics = "NONE"
# set up directories for normalized lcc and mosaic grids
dirCount = 0
gprint("Creating output folder: " + cfg.LCCBASEDIR)
lu.delete_dir(cfg.LCCBASEDIR)
arcpy.CreateFolder_management(path.dirname(cfg.LCCBASEDIR),
path.basename(cfg.LCCBASEDIR))
arcpy.CreateFolder_management(cfg.LCCBASEDIR, cfg.LCCNLCDIR_NM)
clccdir = path.join(cfg.LCCBASEDIR, cfg.LCCNLCDIR_NM)
gprint("")
if normalize:
gprint('Normalized least-cost corridors will be written '
'to ' + clccdir + '\n')
PREFIX = cfg.PREFIX
# Add CWD layers for core area pairs to produce NORMALIZED LCC layers
numGridsWritten = 0
coreList = linkTable[:,cfg.LTB_CORE1:cfg.LTB_CORE2+1]
coreList = npy.sort(coreList)
x = 0
linkCount = 0
endIndex = numLinks
while x < endIndex:
if (linkTable[x, cfg.LTB_LINKTYPE] < 1): # If not a valid link
x = x + 1
continue
linkCount = linkCount + 1
start_time = time.clock()
linkId = str(int(linkTable[x, cfg.LTB_LINKID]))
# source and target cores
corex=int(coreList[x,0])
corey=int(coreList[x,1])
# Get cwd rasters for source and target cores
cwdRaster1 = lu.get_cwd_path(corex)
cwdRaster2 = lu.get_cwd_path(corey)
if not arcpy.Exists(cwdRaster1):
msg =('\nError: cannot find cwd raster:\n' + cwdRaster1)
if not arcpy.Exists(cwdRaster2):
msg =('\nError: cannot find cwd raster:\n' + cwdRaster2)
lu.raise_error(msg)
lccNormRaster = path.join(clccdir, str(corex) + "_" +
str(corey))# + ".tif")
arcpy.env.extent = "MINOF"
link = lu.get_links_from_core_pairs(linkTable, corex, corey)
offset = 10000
# Normalized lcc rasters are created by adding cwd rasters and
# subtracting the least cost distance between them.
lcDist = (float(linkTable[link,cfg.LTB_CWDIST]) - offset)
if normalize:
statement = ('outras = arcpy.sa.Raster(cwdRaster1) '
'+ arcpy.sa.Raster(cwdRaster2) - lcDist; '
'outras.save(lccNormRaster)')
else:
statement = ('outras = arcpy.sa.Raster(cwdRaster1) '
'+ arcpy.sa.Raster(cwdRaster2); '
'outras.save(lccNormRaster)')
count = 0
while True:
try:
exec(statement)
except Exception:
count,tryAgain = lu.retry_arc_error(count,statement)
if not tryAgain:
exec(statement)
else: break
if normalize:
try:
minObject = arcpy.GetRasterProperties_management(lccNormRaster, "MINIMUM")
rasterMin = float(str(minObject.getOutput(0)))
except Exception:
lu.warn('\n------------------------------------------------')
lu.warn('WARNING: Raster minimum check failed in step 5. \n'
'This may mean the output rasters are corrupted. Please \n'
'be sure to check for valid rasters in '+ outputGDB)
rasterMin = 0
tolerance = (float(arcpy.env.cellSize) * -10)
if rasterMin < tolerance:
lu.dashline(1)
msg = ('WARNING: Minimum value of a corridor #' + str(x+1)
+ ' is much less than zero ('+str(rasterMin)+').'
'\nThis could mean that BOUNDING CIRCLE BUFFER DISTANCES '
'were too small and a corridor passed outside of a '
'bounding circle, or that a corridor passed outside of the '
'resistance map. \n')
lu.warn(msg)
arcpy.env.extent = cfg.RESRAST
mosaicDir = path.join(cfg.LCCBASEDIR,'mos'+str(x+1))
lu.create_dir(mosaicDir)
mosFN = 'mos'#.tif' change and move
mosaicRaster = path.join(mosaicDir,mosFN)
if numGridsWritten == 0 and dirCount == 0:
#If this is the first grid then copy rather than mosaic
arcpy.CopyRaster_management(lccNormRaster, mosaicRaster)
else:
statement = (
'arcpy.MosaicToNewRaster_management('
'input_rasters=";".join([lccNormRaster, '
'lastMosaicRaster]), output_location=mosaicDir, '
'raster_dataset_name_with_extension=mosFN, '
'pixel_type="32_BIT_FLOAT", cellsize=arcpy.env.cellSize, '
'number_of_bands="1", mosaic_method="MINIMUM")')
count = 0
while True:
try:
lu.write_log('Executing mosaic for link #'+str(linkId))
exec(statement)
lu.write_log('Done with mosaic.')
except Exception:
count,tryAgain = lu.retry_arc_error(count,statement)
lu.delete_data(mosaicRaster)
lu.delete_dir(mosaicDir)
# Try a new directory
mosaicDir = path.join(cfg.LCCBASEDIR,'mos'+str(x+1)+ '_' + str(count))
lu.create_dir(mosaicDir)
mosaicRaster = path.join(mosaicDir,mosFN)
if not tryAgain:
exec(statement)
else: break
endTime = time.clock()
processTime = round((endTime - start_time), 2)
if normalize == True:
printText = "Normalized and mosaicked "
else:
printText = "Mosaicked NON-normalized "
gprint(printText + "corridor for link ID #" + str(linkId) +
" connecting core areas " + str(corex) +
" and " + str(corey)+ " in " +
str(processTime) + " seconds. " + str(int(linkCount)) +
" out of " + str(int(numCorridorLinks)) + " links have been "
"processed.")
# temporarily disable links in linktable - don't want to mosaic
# them twice
for y in range (x+1,numLinks):
corex1 = int(coreList[y,0])
corey1 = int(coreList[y,1])
if corex1 == corex and corey1 == corey:
linkTable[y,cfg.LTB_LINKTYPE] = (
linkTable[y,cfg.LTB_LINKTYPE] + 1000)
elif corex1==corey and corey1==corex:
linkTable[y,cfg.LTB_LINKTYPE] = (
linkTable[y,cfg.LTB_LINKTYPE] + 1000)
numGridsWritten = numGridsWritten + 1
if not SAVENORMLCCS:
lu.delete_data(lccNormRaster)
lu.delete_dir(clccdir)
lu.create_dir(clccdir)
else:
if numGridsWritten == 100:
# We only write up to 100 grids to any one folder
# because otherwise Arc slows to a crawl
dirCount = dirCount + 1
numGridsWritten = 0
clccdir = path.join(cfg.LCCBASEDIR,
cfg.LCCNLCDIR_NM + str(dirCount))
gprint("Creating output folder: " + clccdir)
arcpy.CreateFolder_management(cfg.LCCBASEDIR,
path.basename(clccdir))
if numGridsWritten > 1 or dirCount > 0:
lu.delete_data(lastMosaicRaster)
lu.delete_dir(path.dirname(lastMosaicRaster))
lastMosaicRaster = mosaicRaster
x = x + 1
#rows that were temporarily disabled
rows = npy.where(linkTable[:,cfg.LTB_LINKTYPE]>1000)
linkTable[rows,cfg.LTB_LINKTYPE] = (
linkTable[rows,cfg.LTB_LINKTYPE] - 1000)
# ---------------------------------------------------------------------
# Create output geodatabase
if not arcpy.Exists(outputGDB):
arcpy.CreateFileGDB_management(cfg.OUTPUTDIR, path.basename(outputGDB))
arcpy.env.workspace = outputGDB
arcpy.env.pyramid = "NONE"
arcpy.env.rasterStatistics = "NONE"
# ---------------------------------------------------------------------
# convert mosaic raster to integer
intRaster = path.join(outputGDB,PREFIX + mosaicBaseName)
statement = ('outras = arcpy.sa.Int(arcpy.sa.Raster(mosaicRaster) '
'- offset + 0.5); '
'outras.save(intRaster)')
count = 0
while True:
try:
exec(statement)
except Exception:
count,tryAgain = lu.retry_arc_error(count,statement)
if not tryAgain: exec(statement)
else: break
# ---------------------------------------------------------------------
if writeTruncRaster:
# -----------------------------------------------------------------
# Set anything beyond cfg.CWDTHRESH to NODATA.
truncRaster = (outputGDB + '\\' + PREFIX + mosaicBaseName +
'_truncated_at_' + lu.cwd_cutoff_str(cfg.CWDTHRESH))
statement = ('outRas = arcpy.sa.Raster(intRaster)'
'* (arcpy.sa.Con(arcpy.sa.Raster(intRaster) '
'<= cfg.CWDTHRESH, 1)); '
'outRas.save(truncRaster)')
count = 0
while True:
try:
exec(statement)
except Exception:
count,tryAgain = lu.retry_arc_error(count,statement)
if not tryAgain: exec(statement)
else: break
# ---------------------------------------------------------------------
# Check for unreasonably low minimum NLCC values
try:
mosaicGrid = path.join(cfg.LCCBASEDIR,'mos')
# Copy to grid to test
arcpy.CopyRaster_management(mosaicRaster, mosaicGrid)
minObject = arcpy.GetRasterProperties_management(mosaicGrid, "MINIMUM")
rasterMin = float(str(minObject.getOutput(0)))
except Exception:
lu.warn('\n------------------------------------------------')
lu.warn('WARNING: Raster minimum check failed in step 5. \n'
'This may mean the output rasters are corrupted. Please \n'
'be sure to check for valid rasters in '+ outputGDB)
rasterMin = 0
tolerance = (float(arcpy.env.cellSize) * -10)
if rasterMin < tolerance:
lu.dashline(1)
msg = ('WARNING: Minimum value of mosaicked corridor map is '
'much less than zero ('+str(rasterMin)+').'
'\nThis could mean that BOUNDING CIRCLE BUFFER DISTANCES '
'were too small and a corridor passed outside of a '
'bounding circle, or that a corridor passed outside of the '
'resistance map. \n')
lu.warn(msg)
gprint('\nWriting final LCP maps...')
if cfg.STEP4:
finalLinkTable = lu.update_lcp_shapefile(linkTable, lastStep=4,
thisStep=5)
elif cfg.STEP3:
finalLinkTable = lu.update_lcp_shapefile(linkTable, lastStep=3,
thisStep=5)
else:
# Don't know if step 4 was run, since this is started at step 5.
# Use presence of previous linktable files to figure this out.
# Linktable name includes step number.
prevLinkTableFile = lu.get_prev_step_link_table(step=5)
prevStepInd = len(prevLinkTableFile) - 5
lastStep = prevLinkTableFile[prevStepInd]
finalLinkTable = lu.update_lcp_shapefile(linkTable, lastStep,
thisStep=5)
outlinkTableFile = lu.get_this_step_link_table(step=5)
gprint('Updating ' + outlinkTableFile)
lu.write_link_table(linkTable, outlinkTableFile)
linkTableLogFile = path.join(cfg.LOGDIR, "linkTable_s5.csv")
lu.write_link_table(linkTable, linkTableLogFile)
linkTableFinalFile = path.join(cfg.OUTPUTDIR, PREFIX +
"_linkTable_s5.csv")
lu.write_link_table(finalLinkTable, linkTableFinalFile)
gprint('Copy of final linkTable written to '+
linkTableFinalFile)
gprint('Creating shapefiles with linework for links.')
try:
lu.write_link_maps(outlinkTableFile, step=5)
except Exception:
lu.write_link_maps(outlinkTableFile, step=5)
# Create final linkmap files in output directory, and remove files from
# scratch.
lu.copy_final_link_maps(step=5)
if not SAVENORMLCCS:
lu.delete_dir(cfg.LCCBASEDIR)
# Build statistics for corridor rasters
arcpy.AddMessage('\nBuilding output statistics and pyramids '
'for corridor raster')
lu.build_stats(intRaster)
if writeTruncRaster:
arcpy.AddMessage('Building output statistics '
'for truncated corridor raster')
lu.build_stats(truncRaster)
save_parameters()
if cfg.OUTPUTFORMODELBUILDER:
arcpy.CopyFeatures_management(cfg.COREFC, cfg.OUTPUTFORMODELBUILDER)
# Return GEOPROCESSING specific errors
except arcpy.ExecuteError:
lu.dashline(1)
gprint('****Failed in step 5. Details follow.****')
lu.exit_with_geoproc_error(_SCRIPT_NAME)
# Return any PYTHON or system specific errors
except Exception:
lu.dashline(1)
gprint('****Failed in step 5. Details follow.****')
lu.exit_with_python_error(_SCRIPT_NAME)
return
def main(argv=None):
"""Iterate over LM, BM, and restoration tasks."""
if argv is None:
argv = sys.argv # Get parameters from ArcGIS tool dialog
start_time = time.clock()
# USER SETTINGS ######################################################
# Restoration Settings
# ALL input data must be in the same projection
# Set to True to restore highest ROI. Set to False to restore strongest
# barrier
restore_max_roi = argv[1]
# Resistance value of restored habitat. Must be 1 or greater.
restored_resistance_val = argv[2]
# No spaces or special chars in paths or gdb names
restoration_data_gdb = argv[3]
# No spaces in path, avoid using dropbox or network drive
# Project directories will be created in this (iter1, iter2...) as will an
# output geodatabase
output_dir = argv[4]
# Resistance raster. Should be in input GDB
resistance_ras = argv[5]
# Core area feature class. Should be in input GDB 'URWA_HCAs_Doug_Grant'
core_fc = argv[6]
core_fn = argv[7] # Core area field name
radius = argv[8] # Restoration radius in meters
iterations = argv[9] # Number of restorations to perform
# If less than this proportion of ag in circle, don't consider restoring
# circle
min_ag_threshold = argv[10]
# Don't consider barriers below this improvement score (average improvement
# per meter diameter restored)
min_improvement_val = argv[11]
# Average per-m2 parcel cost per pixel. Snapped to resistance raster.
parcel_cost_ras = argv[12]
# Right now this is just a raster with all pixels set to 0.113174
restoration_cost_ras = argv[13]
ag_ras = argv[14] # 1=Ag, 0=Not Ag
# Some restorations benefit multiple corridors.
# 'Maximum' takes the greatest improvement across core area pairs
# 'Sum' adds improvement scores acreoss all pairs.
barrier_combine_method = argv[15]
# Use cwd_thresh = None for no threshold. Use cwd_thresh = X to not
# consider restorations more than X map units away from each core area.
cwd_thresh = argv[16]
# END USER SETTINGS ######################################################
try:
# Setup path and create directories
gprint('Hey! Make sure everything is in the same projection!\n')
gprint('Setting up paths and creating directories')
sys.path.append('..\\toolbox\\scripts')
res_ras = os.path.join(restoration_data_gdb, resistance_ras)
core_fc_path = os.path.join(restoration_data_gdb, core_fc)
# Set up a NEW output gdb (leave previous ones on drive)
i = None
for i in range(1, 200):
output_gdb = 'restorationOutput' + str(i) + '.gdb'
if not arcpy.Exists(os.path.join(output_dir, output_gdb)):
break
gprint('Previous output GDB ' + output_gdb + ' exists. '
'Delete to save disk space.')
arcpy.CreateFileGDB_management(output_dir, output_gdb)
output_gdb = os.path.join(output_dir, output_gdb)
log_file = os.path.join(output_gdb,
'Iterate Barriers' + str(i) + '.py')
# Write a copy of this file to output dir as a record of settings
shutil.copyfile(__file__, log_file)
arcpy.env.cellSize = res_ras
arcpy.env.extent = res_ras
arcpy.env.snapRaster = res_ras
arcpy.env.overwriteOutput = True
arcpy.env.scratchWorkspace = output_gdb
arcpy.env.workspace = output_gdb
spatialref = arcpy.Describe(res_ras).spatialReference
mapunits = spatialref.linearUnitName
gprint('Cell size = ' + str(arcpy.env.cellSize) + ' ' + mapunits + 's')
# Calculate fraction of ag within radius of each pixel
gprint('Calculating purchase cost, fraction of ag, etc within radius '
'of each pixel.')
ag_ras = os.path.join(restoration_data_gdb, ag_ras)
in_neighborhood = arcpy.sa.NbrCircle(radius, "MAP")
arcpy.env.extent = ag_ras
out_focal_stats = arcpy.sa.FocalStatistics(ag_ras, in_neighborhood,
"MEAN", "NODATA")
proportion_ag_ras = os.path.join(output_gdb, 'proportionAgRas')
out_focal_stats.save(proportion_ag_ras)
arcpy.env.extent = res_ras
# Calculate purchase cost of circles
parcel_cost_ras = os.path.join(restoration_data_gdb, parcel_cost_ras)
arcpy.env.extent = parcel_cost_ras
out_focal_stats = arcpy.sa.FocalStatistics(parcel_cost_ras,
in_neighborhood, "MEAN",
"DATA")
cost_focal_stats_ras = os.path.join(output_gdb, 'cost_focal_stats_ras')
out_focal_stats.save(cost_focal_stats_ras)
arcpy.env.extent = res_ras
circle_area = float(npy.pi * radius * radius)
outras = arcpy.sa.Raster(cost_focal_stats_ras) * circle_area
purch_cost_ras = os.path.join(output_gdb, 'purchaseCostRaster')
outras.save(purch_cost_ras)
lu.delete_data(cost_focal_stats_ras)
restoration_cost_ras = os.path.join(restoration_data_gdb,
restoration_cost_ras)
outras = (
arcpy.sa.Raster(purch_cost_ras) +
(arcpy.sa.Raster(restoration_cost_ras) * radius * radius * npy.pi))
total_cost_ras = os.path.join(output_gdb, 'totalCostRaster')
outras.save(total_cost_ras)
# Create mask to remove areas without cost data
arcpy.env.extent = total_cost_ras
cost_mask_ras = os.path.join(output_gdb, 'costMaskRaster')
cost_thresh = 0
out_con = arcpy.sa.Con(
(arcpy.sa.Raster(total_cost_ras) > float(cost_thresh)), 1)
out_con.save(cost_mask_ras)
arcpy.env.extent = res_ras
# Create mask to remove areas below ag threshold
out_con = arcpy.sa.Con(
(arcpy.sa.Raster(proportion_ag_ras) > float(min_ag_threshold)), 1)
ag_mask_ras = os.path.join(output_gdb, 'agMaskRaster')
out_con.save(ag_mask_ras)
do_step_1 = 'true'
do_step_2 = 'true'
do_step_5 = 'false'
all_restored_areas_ras = ''
for cur_iter in range(1, iterations + 1):
start_time1 = time.clock()
# Some env settings get changed by linkage mapper and must be
# reset here
arcpy.env.cellSize = res_ras
arcpy.env.extent = res_ras
arcpy.env.snapRaster = res_ras
arcpy.env.scratchWorkspace = output_gdb
arcpy.env.workspace = output_gdb
lu.dashline(1)
gprint('Running iteration number ' + str(cur_iter))
proj_dir = os.path.join(output_dir,
'iter' + str(cur_iter) + 'Proj')
lu.create_dir(output_dir)
lu.delete_dir(proj_dir)
lu.create_dir(proj_dir)
if cur_iter > 1: # Copy previous s2 linktable to new project dir
datapass_dir = os.path.join(proj_dir, 'datapass')
lu.create_dir(datapass_dir)
proj_dir1 = os.path.join(output_dir, 'iter1Proj')
datapass_dir_iter1 = os.path.join(proj_dir1, 'datapass')
s2_link_tbl_iter1 = os.path.join(datapass_dir_iter1,
'linkTable_s2.csv')
s2_link_tbl = os.path.join(datapass_dir, 'linkTable_s2.csv')
shutil.copyfile(s2_link_tbl_iter1, s2_link_tbl)
# Run Linkage Mapper
# Copy distances text file from earlier LM run to the output
# directory- speeds things up!
dist_file = os.path.join(output_dir, core_fc + '_dists.txt')
if not os.path.exists(dist_file):
if cur_iter == 1:
gprint('Will calculate distance file.')
dist_file = '#'
else:
proj_dir1 = os.path.join(output_dir, 'iter1Proj')
dist_file1 = os.path.join(proj_dir1,
core_fc + '_dists.txt')
# Put a copy here for future runs
shutil.copyfile(dist_file1, dist_file)
arcpy.env.scratchWorkspace = output_gdb
arcpy.env.workspace = output_gdb
argv = ('lm_master.py', proj_dir, core_fc_path, core_fn, res_ras,
do_step_1, do_step_2, 'Cost-Weighted & Euclidean',
dist_file, 'true', 'true', 'false', '4', 'Cost-Weighted',
'true', do_step_5, 'true', '200000', '10000', '#', '#',
'#', '#')
gprint('Running ' + str(argv))
lm_master.lm_master(argv)
do_step_1 = 'false' # Can skip for future iterations
do_step_2 = 'false' # Can skip for future iterations
do_step_5 = 'false' # Skipping for future iterations
start_radius = str(radius)
end_radius = str(radius)
radius_step = '0'
save_radius_ras = 'false'
write_pct_ras = 'false'
argv = ('barrier_master.py', proj_dir, res_ras, start_radius,
end_radius, radius_step, barrier_combine_method,
save_radius_ras, write_pct_ras, cwd_thresh)
gprint('Running ' + str(argv))
barrier_master.bar_master(argv)
# Some env settings get changed by linkage mapper and must be
# reset here
arcpy.env.cellSize = res_ras
arcpy.env.extent = res_ras
arcpy.env.snapRaster = res_ras
arcpy.env.scratchWorkspace = output_gdb
arcpy.env.workspace = output_gdb
gprint('Finding restoration circles with max barrier score / ROI')
# Find points with max ROI
prefix = os.path.basename(proj_dir)
if barrier_combine_method == 'Sum':
sum_suffix = 'Sum'
else:
sum_suffix = ''
barrier_fn = (prefix + "_BarrierCenters" + sum_suffix + "_Rad" +
str(radius))
barrier_ras = os.path.join(proj_dir, 'output', 'barriers.gdb',
barrier_fn)
if not arcpy.Exists(barrier_ras):
msg = ('Error: cannot find barrier output: ' + barrier_ras)
lu.raise_error(msg)
if cur_iter > 1:
gprint('Creating mask for previously restored areas')
in_neighborhood = arcpy.sa.NbrCircle(radius, "MAP")
arcpy.env.extent = all_restored_areas_ras
out_focal_stats = arcpy.sa.FocalStatistics(
all_restored_areas_ras, in_neighborhood, "MEAN", "DATA")
all_restored_focal_ras = os.path.join(
output_gdb, 'allRestFocRas_iter' + str(cur_iter))
# Anything > 0 would include a restored area
out_focal_stats.save(all_restored_focal_ras)
arcpy.env.extent = res_ras
rest_mask_ras = os.path.join(
output_gdb, 'restMaskRaster_iter' + str(cur_iter))
minval = 0
out_con = arcpy.sa.Con(
(arcpy.sa.Raster(all_restored_focal_ras) == float(minval)),
1)
out_con.save(rest_mask_ras)
# Candidate areas have not been restored, have cost data, meet
# minimum improvement score criteria, and have enough ag in them
candidate_barrier_ras = os.path.join(
output_gdb, 'candidateBarrierRaster' + '_iter' + str(cur_iter))
if cur_iter > 1:
gprint('Creating candidate restoration raster using barrier '
'results, previous restorations, and selection '
'criteria')
# ROI scores will be in terms of total improvement
# (= score * diameter)
out_calc = (arcpy.sa.Raster(cost_mask_ras) *
arcpy.sa.Raster(ag_mask_ras) *
arcpy.sa.Raster(barrier_ras) *
arcpy.sa.Raster(rest_mask_ras) * (radius * 2))
else:
out_calc = (arcpy.sa.Raster(cost_mask_ras) *
arcpy.sa.Raster(ag_mask_ras) *
arcpy.sa.Raster(barrier_ras) * radius * 2)
min_barrier_score = min_improvement_val * radius * 2
if restored_resistance_val != 1:
out_calc_2 = (out_calc - (2 * radius *
(restored_resistance_val - 1)))
out_con = arcpy.sa.Con(
(out_calc_2 >= float(min_barrier_score)), out_calc_2)
else:
out_con = arcpy.sa.Con((out_calc >= float(min_barrier_score)),
out_calc)
out_con.save(candidate_barrier_ras)
lu.build_stats(candidate_barrier_ras)
purchase_roi_ras = os.path.join(
output_gdb, 'purchaseRoiRaster' + '_iter' + str(cur_iter))
out_calc = (arcpy.sa.Raster(candidate_barrier_ras) /
arcpy.sa.Raster(purch_cost_ras))
out_calc.save(purchase_roi_ras)
lu.build_stats(purchase_roi_ras)
total_roi_ras = os.path.join(
output_gdb, 'purchaseRestRoiRaster' + '_iter' + str(cur_iter))
out_calc = (arcpy.sa.Raster(candidate_barrier_ras) /
arcpy.sa.Raster(total_cost_ras))
out_calc.save(total_roi_ras)
lu.build_stats(total_roi_ras)
max_barrier = float(
arcpy.GetRasterProperties_management(candidate_barrier_ras,
"MAXIMUM").getOutput(0))
gprint('Maximum barrier improvement score: ' + str(max_barrier))
if max_barrier < 0:
arcpy.AddWarning("\nNo barriers found that meet CWD or Ag "
"threshold criteria.")
max_purch_roi = arcpy.GetRasterProperties_management(
purchase_roi_ras, "MAXIMUM")
gprint('Maximum purchase ROI score: ' +
str(max_purch_roi.getOutput(0)))
max_roi = arcpy.GetRasterProperties_management(
total_roi_ras, "MAXIMUM")
gprint('Maximum total ROI score: ' + str(max_roi.getOutput(0)))
if restore_max_roi:
out_point = os.path.join(
output_gdb, 'maxRoiPoint' + '_iter' + str(cur_iter))
gprint('Choosing circle with maximum ROI to restore')
out_con = arcpy.sa.Con(
(arcpy.sa.Raster(total_roi_ras) >= float(
max_roi.getOutput(0))), total_roi_ras)
max_roi_ras = os.path.join(output_gdb, 'max_roi_ras')
out_con.save(max_roi_ras)
# Save max ROI to point
try:
arcpy.RasterToPoint_conversion(max_roi_ras, out_point)
except Exception:
msg = ('Error: it looks like there are no viable '
'restoration candidates.')
lu.raise_error(msg)
else: # Restoring strongest barrier instead
out_point = os.path.join(
output_gdb, 'maxBarrierPoint' + '_iter' + str(cur_iter))
gprint('Choosing circle with maximum BARRIER IMPROVEMENT SCORE'
' to restore')
out_con = arcpy.sa.Con(
(arcpy.sa.Raster(candidate_barrier_ras) >= max_barrier),
candidate_barrier_ras)
max_barrier_ras = os.path.join(output_gdb, 'maxBarrierRaster')
out_con.save(max_barrier_ras)
# Save max barrier to point
try:
arcpy.RasterToPoint_conversion(max_barrier_ras, out_point)
except Exception:
msg = ('Error: it looks like there are no viable '
'restoration candidates.')
lu.raise_error(msg)
gprint('Done evaluating candidate restorations')
result = int(arcpy.GetCount_management(out_point).getOutput(0))
if result > 1:
# Would be better to retain point with max barrier score when
# we have multiple points with same ROI
arcpy.AddWarning('Deleting points with identical '
'ROI/improvement score values')
arcpy.DeleteIdentical_management(out_point, "grid_code", 0.1,
0.1)
arcpy.sa.ExtractMultiValuesToPoints(
out_point,
[[candidate_barrier_ras, "barrierScore"],
[purch_cost_ras, "purchCost"], [total_cost_ras, "totalCost"],
[purchase_roi_ras, "purchaseROI"],
[total_roi_ras, "totalROI"]], "NONE")
arcpy.AddField_management(out_point, "restorationNumber", "SHORT")
arcpy.CalculateField_management(out_point, "restorationNumber",
cur_iter, "PYTHON_9.3")
arcpy.AddField_management(out_point, "radius", "DOUBLE")
arcpy.CalculateField_management(out_point, "radius", radius,
"PYTHON_9.3")
arcpy.AddField_management(out_point, "barrierScore_per_m",
"DOUBLE")
arcpy.CalculateField_management(
out_point, "barrierScore_per_m",
"(float(!barrierScore!) / (!radius! * 2))", "PYTHON_9.3")
gprint('\nCreating restoration circles')
if restore_max_roi:
circle_fc = os.path.join(
output_gdb, 'maxRoiCircle' + '_iter' + str(cur_iter))
else:
circle_fc = os.path.join(
output_gdb, 'maxBarrierCircle' + '_iter' + str(cur_iter))
arcpy.Buffer_analysis(out_point, circle_fc, radius)
gprint('Rasterizing restoration circles')
if restore_max_roi:
circle_ras = os.path.join(
output_gdb, 'maxRoicircle_ras' + '_iter' + str(cur_iter))
else:
circle_ras = os.path.join(
output_gdb,
'maxBarrierCircleRas' + '_iter' + str(cur_iter))
arcpy.FeatureToRaster_conversion(circle_fc, 'totalROI', circle_ras,
arcpy.env.cellSize)
# restore raster
gprint('Digitally restoring resistance raster')
res_ras_restored = os.path.join(
output_gdb, 'resRastRestored' + '_iter' + str(cur_iter))
out_con = arcpy.sa.Con(arcpy.sa.IsNull(circle_ras), res_ras,
restored_resistance_val)
out_con.save(res_ras_restored)
all_restored_areas_ras = os.path.join(
output_gdb, 'allRestoredAreas_iter' + str(cur_iter))
prev_restored_areas_ras = os.path.join(
output_gdb, 'allRestoredAreas_iter' + str(cur_iter - 1))
if cur_iter == 1:
out_con = arcpy.sa.Con(arcpy.sa.IsNull(circle_ras), 0, 1)
else:
# Add this restoration to areas restored
out_con = arcpy.sa.Con(arcpy.sa.IsNull(circle_ras),
prev_restored_areas_ras, 1)
out_con.save(all_restored_areas_ras)
lu.delete_data(circle_ras)
# Use for next iteration resistance raster
res_ras = res_ras_restored
# Add circle into feature class with all circles
if restore_max_roi:
all_circles_fc = os.path.join(output_gdb, "allCirclesMaxROI")
else:
all_circles_fc = os.path.join(output_gdb,
"allCirclesMaxBarriers")
if cur_iter == 1:
arcpy.CopyFeatures_management(circle_fc, all_circles_fc)
else:
arcpy.Append_management(circle_fc, all_circles_fc, "TEST")
gprint('Finished iteration #' + str(cur_iter))
start_time1 = lu.elapsed_time(start_time1)
gprint('\nDone with iterations.')
start_time = lu.elapsed_time(start_time)
gprint('Outputs saved in: ' + output_gdb)
gprint('Back up your project directories if you want to save '
'corridor/barrier results.')
# Return GEOPROCESSING specific errors
except arcpy.ExecuteError:
lu.dashline(1)
gprint('****Iteration script failed. Details follow.****')
lu.exit_with_geoproc_error(_SCRIPT_NAME)
# Return any PYTHON or system specific errors
except Exception:
lu.dashline(1)
gprint('****Iteration script failed. Details follow.****')
lu.exit_with_python_error(_SCRIPT_NAME)
def main():
"""Iterates over LM, BM, and restoration tasks"""
## USER SETTINGS ######################################################
## Restoration Settings
## ALL input data must be in the same projection
start_time = time.clock()
restoreMaxROI = False # Set to True to restore highest ROI
# Set to False to restore strongest barrier
restoredResistanceVal = 1 # Resistance value of restored habitat. Must be 1 or greater.
restorationDataGDB = (
"C:\\barrierClassAnalysis\\RestorationINPUTS_July2013.gdb"
) # No spaces or special chars in paths or gdb names
outputDir = "C:\\barrierClassAnalysis\\output" # No spaces in path, avoid using dropbox or network drive
# Project directories will be created in this (iter1, iter2...)
# as will an output geodatabase
resistanceRaster = "URWA_resis" # Resistance raster. Should be in input GDB
coreFC = "URWA_HCAs_Doug_Grant" # Core area feature class. Should be in input GDB 'URWA_HCAs_Doug_Grant'
coreFN = "HCA_ID" # Core area field name
radius = 450 # restoration radius in meters
iterations = 13 # number of restorations to perform
minAgThreshold = 0.75 # if less than this proportion of ag in circle, don't consider restoring circle
minImprovementVal = (
0
) # Don't consider barriers below this improvement score (average improvement per meter diameter restored)
parcelCostRaster = (
"DougGrantParcelCost_m2_projected_90m"
) # Average per-m2 parcel cost per pixel. Snapped to resistance raster.
restorationCostRaster = "restCostPer_m2" # Right now this is just a raster with all pixels set to 0.113174
agRaster = "ARESmaskp_projected" # 1=Ag, 0 = not Ag
barrierCombineMethod = "Maximum" # Some restorations benefit multiple corridors.
# 'Maximum' takes the greatest improvement across core area pairs
# 'Sum' adds improvement scores acreoss all pairs.
cwdThresh = None # Use cwdThresh = None for no threshold. Use cwdThresh = X to not consider
# restorations more than X map units away from each core area.
## END USER SETTINGS ######################################################
try:
# Setup path and create directories
gprint("Hey! Make sure everything is in the same projection!\n")
gprint("Setting up paths and creating directories")
sys.path.append("..\\toolbox\\scripts")
resRast = os.path.join(restorationDataGDB, resistanceRaster)
coreFCPath = os.path.join(restorationDataGDB, coreFC)
# Set up a NEW output gdb (leave previous ones on drive)
for i in range(1, 200):
outputGDB = "restorationOutput" + str(i) + ".gdb"
if not arcpy.Exists(os.path.join(outputDir, outputGDB)):
break
gprint("Previous output GDB " + outputGDB + " exists. Delete to save disk space.")
arcpy.CreateFileGDB_management(outputDir, outputGDB)
outputGDB = os.path.join(outputDir, outputGDB)
logFile = os.path.join(outputGDB, "Iterate Barriers" + str(i) + ".py")
shutil.copyfile(__file__, logFile) # write a copy of this file to output dir as a record of settings
arcpy.env.cellSize = resRast
arcpy.env.extent = resRast
arcpy.env.snapRaster = resRast
arcpy.env.overwriteOutput = True
arcpy.env.scratchWorkspace = outputGDB
arcpy.env.workspace = outputGDB
spatialref = arcpy.Describe(resRast).spatialReference
mapunits = spatialref.linearUnitName
gprint("Cell size = " + str(arcpy.env.cellSize) + " " + mapunits + "s")
# Calculate fraction of ag within radius of each pixel
gprint("Calculating purchase cost, fraction of ag, etc within radius of each pixel.")
agRaster = os.path.join(restorationDataGDB, agRaster)
inNeighborhood = NbrCircle(radius, "MAP")
arcpy.env.extent = agRaster
outFocalStats = arcpy.sa.FocalStatistics(agRaster, inNeighborhood, "MEAN", "NODATA")
proportionAgRaster = os.path.join(outputGDB, "proportionAgRas")
outFocalStats.save(proportionAgRaster)
arcpy.env.extent = resRast
# Calculate purchase cost of circles
parcelCostRaster = os.path.join(restorationDataGDB, parcelCostRaster)
arcpy.env.extent = parcelCostRaster
outFocalStats = arcpy.sa.FocalStatistics(parcelCostRaster, inNeighborhood, "MEAN", "DATA")
costFocalStatsRaster = os.path.join(outputGDB, "costFocalStatsRaster")
outFocalStats.save(costFocalStatsRaster)
arcpy.env.extent = resRast
circleArea = float(npy.pi * radius * radius)
outras = Raster(costFocalStatsRaster) * circleArea
purchCostRaster = os.path.join(outputGDB, "purchaseCostRaster")
outras.save(purchCostRaster)
lu.delete_data(costFocalStatsRaster)
# restCost = npy.pi * radius * radius * restCostPer_m2
restorationCostRaster = os.path.join(restorationDataGDB, restorationCostRaster)
outras = Raster(purchCostRaster) + (Raster(restorationCostRaster) * radius * radius * npy.pi)
totalCostRaster = os.path.join(outputGDB, "totalCostRaster")
outras.save(totalCostRaster)
# lu.build_stats(totalCostRaster)
# Create mask to remove areas without cost data
arcpy.env.extent = totalCostRaster
costMaskRaster = os.path.join(outputGDB, "costMaskRaster")
costThresh = 0
outCon = arcpy.sa.Con((Raster(totalCostRaster) > float(costThresh)), 1)
outCon.save(costMaskRaster)
arcpy.env.extent = resRast
# Create mask to remove areas below ag threshold
outCon = arcpy.sa.Con((Raster(proportionAgRaster) > float(minAgThreshold)), 1)
agMaskRaster = os.path.join(outputGDB, "agMaskRaster")
outCon.save(agMaskRaster)
doStep1 = "true"
doStep2 = "true"
doStep5 = "false"
for iter in range(1, iterations + 1): # xxx
start_time1 = time.clock()
arcpy.env.cellSize = resRast # Some env settings get changed by linkage mapper and must be reset here
arcpy.env.extent = resRast
arcpy.env.snapRaster = resRast
arcpy.env.overwriteOutput = True
arcpy.env.scratchWorkspace = outputGDB
arcpy.env.workspace = outputGDB
lu.dashline(1)
gprint("Running iteration number " + str(iter))
projDir = os.path.join(outputDir, "iter" + str(iter) + "Proj")
lu.create_dir(outputDir)
lu.delete_dir(projDir) # xxx
lu.create_dir(projDir)
if iter > 1: # Copy previous s2 linktable to new project directory
datapassDir = os.path.join(projDir, "datapass")
lu.create_dir(datapassDir)
projDir1 = os.path.join(outputDir, "iter1Proj")
datapassDirIter1 = os.path.join(projDir1, "datapass")
s2LinktableIter1 = os.path.join(datapassDirIter1, "linkTable_s2.csv")
s2LinkTable = os.path.join(datapassDir, "linkTable_s2.csv")
shutil.copyfile(s2LinktableIter1, s2LinkTable)
# Run Linkage Mapper
distFile = os.path.join(
outputDir, coreFC + "_dists.txt"
) # Copy distances text file from earlier LM run to the output directory- speeds things up!
if not os.path.exists(distFile):
if iter == 1:
gprint("Will calculate distance file.")
distFile = "#"
else:
projDir1 = os.path.join(outputDir, "iter1Proj")
distFile1 = os.path.join(projDir1, coreFC + "_dists.txt")
shutil.copyfile(distFile1, distFile) # Put a copy here for future runs
arcpy.env.overwriteOutput = True
arcpy.env.scratchWorkspace = outputGDB
arcpy.env.workspace = outputGDB
argv = (
"lm_master.py",
projDir,
coreFCPath,
coreFN,
resRast,
doStep1,
doStep2,
"Cost-Weighted & Euclidean",
distFile,
"true",
"true",
"false",
"4",
"Cost-Weighted",
"true",
doStep5,
"10000",
"#",
"#",
)
gprint("Running " + str(argv))
import lm_master # xxx
lm_master.lm_master(argv) # xxx
doStep1 = "false" # Can skip for future iterations
doStep2 = "false" # Can skip for future iterations
doStep5 = "false" # Skipping for future iterations
startRadius = str(radius)
endRadius = str(radius)
radiusStep = "0"
saveRadiusRasters = "false"
writePctRasters = "false"
argv = (
"barrier_master.py",
projDir,
resRast,
startRadius,
endRadius,
radiusStep,
barrierCombineMethod,
saveRadiusRasters,
writePctRasters,
cwdThresh,
)
gprint("Running " + str(argv))
import barrier_master # xxx
barrier_master.bar_master(argv) # xxx
arcpy.env.cellSize = resRast # Some env settings get changed by linkage mapper and must be reset here
arcpy.env.extent = resRast
arcpy.env.snapRaster = resRast
arcpy.env.overwriteOutput = True
arcpy.env.scratchWorkspace = outputGDB
arcpy.env.workspace = outputGDB
gprint("Finding restoration circles with max barrier score / ROI")
# Find points with max ROI
PREFIX = os.path.basename(projDir)
if barrierCombineMethod == "Sum":
sumSuffix = "Sum"
else:
sumSuffix = ""
barrierFN = PREFIX + "_BarrierCenters" + sumSuffix + "_Rad" + str(radius)
barrierRaster = os.path.join(projDir, "output", "barriers.gdb", barrierFN)
if not arcpy.Exists(barrierRaster):
msg = "Error: cannot find barrier output: " + barrierRaster
lu.raise_error(msg)
# arcpy.env.cellSize = agMaskRaster
# arcpy.env.extent = agMaskRaster
if iter > 1:
gprint("Creating mask for previously restored areas")
inNeighborhood = NbrCircle(radius, "MAP")
arcpy.env.extent = allRestoredAreasRaster
outFocalStats = arcpy.sa.FocalStatistics(allRestoredAreasRaster, inNeighborhood, "MEAN", "DATA")
allRestoredFocalRaster = os.path.join(outputGDB, "allRestFocRas_iter" + str(iter))
outFocalStats.save(allRestoredFocalRaster) # Anything > 0 would include a restored area and
arcpy.env.extent = resRast
restMaskRaster = os.path.join(outputGDB, "restMaskRaster_iter" + str(iter))
minval = 0
outCon = arcpy.sa.Con((Raster(allRestoredFocalRaster) == float(minval)), 1)
outCon.save(restMaskRaster)
# Candidate areas have not been restored, have cost data, meet
# minimum improvement score criteria, and have enough ag in them
candidateBarrierRaster = os.path.join(outputGDB, "candidateBarrierRaster" + "_iter" + str(iter))
if iter > 1:
gprint(
"Creating candidate restoration raster using barrier results, previous restorations, and selection criteria"
)
outCalc = (
Raster(costMaskRaster)
* Raster(agMaskRaster)
* Raster(barrierRaster)
* Raster(restMaskRaster)
* (radius * 2)
) # ROI scores will be in terms of total improvement (= score * diameter)
else:
outCalc = Raster(costMaskRaster) * Raster(agMaskRaster) * Raster(barrierRaster) * radius * 2
minBarrierScore = minImprovementVal * radius * 2
if restoredResistanceVal != 1:
outCalc2 = outCalc - (2 * radius * (restoredResistanceVal - 1))
outCon = arcpy.sa.Con((outCalc2 >= float(minBarrierScore)), outCalc2)
else:
outCon = arcpy.sa.Con((outCalc >= float(minBarrierScore)), outCalc)
outCon.save(candidateBarrierRaster)
lu.build_stats(candidateBarrierRaster)
purchaseRoiRaster = os.path.join(outputGDB, "purchaseRoiRaster" + "_iter" + str(iter))
outCalc = Raster(candidateBarrierRaster) / Raster(purchCostRaster)
outCalc.save(purchaseRoiRaster)
lu.build_stats(purchaseRoiRaster)
totalRoiRaster = os.path.join(outputGDB, "purchaseRestRoiRaster" + "_iter" + str(iter))
outCalc = Raster(candidateBarrierRaster) / Raster(totalCostRaster)
outCalc.save(totalRoiRaster)
lu.build_stats(totalRoiRaster)
maxBarrier = arcpy.GetRasterProperties_management(candidateBarrierRaster, "MAXIMUM")
gprint("Maximum barrier improvement score: " + str(maxBarrier.getOutput(0)))
if maxBarrier < 0:
arcpy.AddWarning("\nNo barriers found that meet CWD or Ag threshold criteria.")
maxPurchROI = arcpy.GetRasterProperties_management(purchaseRoiRaster, "MAXIMUM")
gprint("Maximum purchase ROI score: " + str(maxPurchROI.getOutput(0)))
maxROI = arcpy.GetRasterProperties_management(totalRoiRaster, "MAXIMUM")
gprint("Maximum total ROI score: " + str(maxROI.getOutput(0)))
if restoreMaxROI:
outPoint = os.path.join(outputGDB, "maxRoiPoint" + "_iter" + str(iter))
gprint("Choosing circle with maximum ROI to restore")
outCon = arcpy.sa.Con((Raster(totalRoiRaster) >= float(maxROI.getOutput(0))), totalRoiRaster)
maxRoiRaster = os.path.join(outputGDB, "maxRoiRaster")
outCon.save(maxRoiRaster)
# Save max ROI to point
try:
arcpy.RasterToPoint_conversion(maxRoiRaster, outPoint)
except:
msg = "Error: it looks like there are no viable restoration candidates."
lu.raise_error(msg)
else: # Restoring strongest barrier instead
outPoint = os.path.join(outputGDB, "maxBarrierPoint" + "_iter" + str(iter))
gprint("Choosing circle with maximum BARRIER IMPROVEMENT SCORE to restore")
outCon = arcpy.sa.Con(
(Raster(candidateBarrierRaster) >= float(maxBarrier.getOutput(0))), candidateBarrierRaster
)
maxBarrierRaster = os.path.join(outputGDB, "maxBarrierRaster")
outCon.save(maxBarrierRaster)
# Save max barrier to point
try:
arcpy.RasterToPoint_conversion(maxBarrierRaster, outPoint)
except:
msg = "Error: it looks like there are no viable restoration candidates."
lu.raise_error(msg)
gprint("Done evaluating candidate restorations")
result = int(arcpy.GetCount_management(outPoint).getOutput(0))
if result > 1:
arcpy.AddWarning(
"Deleting points with identical ROI/improvement score values"
) # Would be better to retain point with max barrier score when we have multiple points with same ROI
arcpy.DeleteIdentical_management(outPoint, "grid_code", 0.1, 0.1)
arcpy.sa.ExtractMultiValuesToPoints(
outPoint,
[
[candidateBarrierRaster, "barrierScore"],
[purchCostRaster, "purchCost"],
[totalCostRaster, "totalCost"],
[purchaseRoiRaster, "purchaseROI"],
[totalRoiRaster, "totalROI"],
],
"NONE",
)
arcpy.AddField_management(outPoint, "restorationNumber", "SHORT")
arcpy.CalculateField_management(outPoint, "restorationNumber", iter)
arcpy.AddField_management(outPoint, "radius", "DOUBLE")
arcpy.CalculateField_management(outPoint, "radius", radius)
arcpy.AddField_management(outPoint, "barrierScore_per_m", "DOUBLE")
arcpy.CalculateField_management(
outPoint, "barrierScore_per_m", "(float(!barrierScore!) / (!radius! * 2))", "PYTHON"
)
gprint("\nCreating restoration circles")
if restoreMaxROI:
circleFC = os.path.join(outputGDB, "maxRoiCircle" + "_iter" + str(iter))
else:
circleFC = os.path.join(outputGDB, "maxBarrierCircle" + "_iter" + str(iter))
arcpy.Buffer_analysis(outPoint, circleFC, radius)
gprint("Rasterizing restoration circles")
if restoreMaxROI:
circleRas = os.path.join(outputGDB, "maxRoiCircleRas" + "_iter" + str(iter))
else:
circleRas = os.path.join(outputGDB, "maxBarrierCircleRas" + "_iter" + str(iter))
arcpy.FeatureToRaster_conversion(circleFC, "totalROI", circleRas, arcpy.env.cellSize)
# restore raster
gprint("Digitally restoring resistance raster")
resRastRestored = os.path.join(outputGDB, "resRastRestored" + "_iter" + str(iter))
outCon = arcpy.sa.Con(IsNull(circleRas), resRast, restoredResistanceVal)
outCon.save(resRastRestored)
allRestoredAreasRaster = os.path.join(outputGDB, "allRestoredAreas_iter" + str(iter))
PrevRestoredAreasRaster = os.path.join(outputGDB, "allRestoredAreas_iter" + str(iter - 1))
if iter == 1:
outCon = arcpy.sa.Con(IsNull(circleRas), 0, 1)
else:
outCon = arcpy.sa.Con(
IsNull(circleRas), PrevRestoredAreasRaster, 1
) # Add this restoration to areas restored
outCon.save(allRestoredAreasRaster)
lu.delete_data(circleRas)
resRast = resRastRestored # Use for next iteration resistance raster
# Add circle into feature class with all circles
if restoreMaxROI:
allCirclesFC = os.path.join(outputGDB, "allCirclesMaxROI")
else:
allCirclesFC = os.path.join(outputGDB, "allCirclesMaxBarriers")
if iter == 1:
arcpy.CopyFeatures_management(circleFC, allCirclesFC)
else:
arcpy.Append_management(circleFC, allCirclesFC, "TEST")
gprint("Finished iteration #" + str(iter))
start_time1 = lu.elapsed_time(start_time1)
gprint("\nDone with iterations.")
start_time = lu.elapsed_time(start_time)
gprint("Outputs saved in: " + outputGDB)
gprint("Back up your project directories if you want to save corridor/barrier results.")
# Return GEOPROCESSING specific errors
except arcpy.ExecuteError:
lu.dashline(1)
gprint("****Iteration script failed. Details follow.****")
lu.exit_with_geoproc_error(_SCRIPT_NAME)
# Return any PYTHON or system specific errors
except:
lu.dashline(1)
gprint("****Iteration script failed. Details follow.****")
lu.exit_with_python_error(_SCRIPT_NAME)
def STEP8_calc_pinchpoints():
""" Maps pinch points in Linkage Mapper corridors using Circuitscape
given CWD calculations from s3_calcCwds.py.
"""
try:
lu.dashline(0)
gprint('Running script ' + _SCRIPT_NAME)
restartFlag = False
if cfg.CWDCUTOFF < 0:
cfg.CWDCUTOFF = cfg.CWDCUTOFF * -1
restartFlag = True # Restart code in progress
CSPATH = lu.get_cs_path()
outputGDB = path.join(cfg.OUTPUTDIR, path.basename(cfg.PINCHGDB))
arcpy.OverWriteOutput = True
arcpy.env.workspace = cfg.SCRATCHDIR
arcpy.env.scratchWorkspace = cfg.ARCSCRATCHDIR
arcpy.env.pyramid = "NONE"
arcpy.env.rasterstatistics = "NONE"
# set the analysis extent and cell size to that of the resistance
# surface
arcpy.env.extent = cfg.RESRAST
arcpy.env.cellSize = cfg.RESRAST
arcpy.snapraster = cfg.RESRAST
resRaster = cfg.RESRAST
arcpy.env.extent = "MINOF"
minObject = arcpy.GetRasterProperties_management(resRaster, "MINIMUM")
rasterMin = float(str(minObject.getOutput(0)))
if rasterMin <= 0:
msg = ('Error: resistance raster cannot have 0 or negative values.')
lu.raise_error(msg)
if cfg.DO_ADJACENTPAIRS:
prevLcpShapefile = lu.get_lcp_shapefile(None, thisStep = 8)
if not arcpy.Exists(prevLcpShapefile):
msg = ('Cannot find an LCP shapefile from step 5. Please '
'rerun that step and any previous ones if necessary.')
lu.raise_error(msg)
# Remove lcp shapefile
lcpShapefile = path.join(cfg.DATAPASSDIR, "lcpLines_s8.shp")
lu.delete_data(lcpShapefile)
inLinkTableFile = lu.get_prev_step_link_table(step=8)
linkTable = lu.load_link_table(inLinkTableFile)
numLinks = linkTable.shape[0]
numCorridorLinks = lu.report_links(linkTable)
if numCorridorLinks == 0:
lu.dashline(1)
msg =('\nThere are no linkages. Bailing.')
lu.raise_error(msg)
if linkTable.shape[1] < 16: # If linktable has no entries from prior
# centrality or pinchpint analyses
extraCols = npy.zeros((numLinks, 6), dtype="float64")
linkTable = linkTable[:,0:10]
linkTable = npy.append(linkTable, extraCols, axis=1)
linkTable[:, cfg.LTB_LCPLEN] = -1
linkTable[:, cfg.LTB_CWDEUCR] = -1
linkTable[:, cfg.LTB_CWDPATHR] = -1
linkTable[:, cfg.LTB_EFFRESIST] = -1
linkTable[:, cfg.LTB_CWDTORR] = -1
linkTable[:, cfg.LTB_CURRENT] = -1
del extraCols
# set up directories for circuit and circuit mosaic grids
# Create output geodatabase
if not arcpy.Exists(cfg.PINCHGDB):
arcpy.CreateFileGDB_management(cfg.OUTPUTDIR,
path.basename(cfg.PINCHGDB))
mosaicRaster = path.join(cfg.CIRCUITBASEDIR, "current_mos" + tif)
coresToProcess = npy.unique(
linkTable[:, cfg.LTB_CORE1:cfg.LTB_CORE2 + 1])
maxCoreNum = max(coresToProcess)
del coresToProcess
lu.dashline(0)
coreList = linkTable[:,cfg.LTB_CORE1:cfg.LTB_CORE2+1]
coreList = npy.sort(coreList)
#gprint('There are ' + str(len(npy.unique(coreList))) ' core areas.')
INCIRCUITDIR = cfg.CIRCUITBASEDIR
OUTCIRCUITDIR = path.join(cfg.CIRCUITBASEDIR,
cfg.CIRCUITOUTPUTDIR_NM)
CONFIGDIR = path.join(INCIRCUITDIR, cfg.CIRCUITCONFIGDIR_NM)
# Cutoff value text to append to filenames
cutoffText = str(cfg.CWDCUTOFF)
if cutoffText[-6:] == '000000':
cutoffText = cutoffText[0:-6]+'m'
elif cutoffText[-3:] == '000':
cutoffText = cutoffText[0:-3]+'k'
if cfg.SQUARERESISTANCES:
# Square resistance values
squaredRaster = path.join(cfg.SCRATCHDIR,'res_sqr')
arcpy.env.workspace = cfg.SCRATCHDIR
arcpy.env.scratchWorkspace = cfg.ARCSCRATCHDIR
outRas = Raster(resRaster) * Raster(resRaster)
outRas.save(squaredRaster)
resRaster = squaredRaster
if cfg.DO_ADJACENTPAIRS:
linkLoop = 0
lu.dashline(1)
gprint('Mapping pinch points in individual corridors \n'
'using Circuitscape.')
lu.dashline(1)
gprint('If you try to cancel your run and the Arc dialog hangs, ')
gprint('you can kill Circuitscape by opening Windows Task Manager')
gprint('and ending the cs_run.exe process.')
lu.dashline(2)
for x in range(0,numLinks):
linkId = str(int(linkTable[x,cfg.LTB_LINKID]))
if not (linkTable[x,cfg.LTB_LINKTYPE] > 0):
continue
linkLoop = linkLoop + 1
linkDir = path.join(cfg.SCRATCHDIR, 'link' + linkId)
if restartFlag == True and path.exists(linkDir):
gprint('continuing')
continue
restartFlag = False
lu.create_dir(linkDir)
start_time1 = time.clock()
# source and target cores
corex=int(coreList[x,0])
corey=int(coreList[x,1])
# Get cwd rasters for source and target cores
cwdRaster1 = lu.get_cwd_path(corex)
cwdRaster2 = lu.get_cwd_path(corey)
lccNormRaster = path.join(linkDir, 'lcc_norm')
arcpy.env.extent = "MINOF"
link = lu.get_links_from_core_pairs(linkTable, corex,
corey)
lcDist = float(linkTable[link,cfg.LTB_CWDIST])
# Normalized lcc rasters are created by adding cwd rasters
# and subtracting the least cost distance between them.
outRas = Raster(cwdRaster1) + Raster(cwdRaster2) - lcDist
outRas.save(lccNormRaster)
#create raster mask
resMaskRaster = path.join(linkDir, 'res_mask'+tif)
#create raster mask
outCon = arcpy.sa.Con(Raster(lccNormRaster) <= cfg.CWDCUTOFF, 1)
outCon.save(resMaskRaster)
# Convert to poly. Use as mask to clip resistance raster.
resMaskPoly = path.join(linkDir,
'res_mask_poly.shp')
arcpy.RasterToPolygon_conversion(resMaskRaster, resMaskPoly,
"NO_SIMPLIFY")
arcpy.env.extent = resMaskPoly
# Includes 0 values in some cases with CP LI model if tif
# so using ESRI Grid format
resClipRasterMasked = path.join(linkDir,
'res_clip_m')
# Extract masked resistance raster.
# Needs to be float to get export to npy to work.
outRas = arcpy.sa.ExtractByMask(resRaster, resMaskPoly) + 0.0
outRas.save(resClipRasterMasked)
resNpyFN = 'resistances_link_' + linkId + '.npy'
resNpyFile = path.join(INCIRCUITDIR, resNpyFN)
numElements, numResistanceNodes = export_ras_to_npy(resClipRasterMasked,
resNpyFile)
totMem, availMem = lu.get_mem()
# gprint('Total memory: str(totMem))
if numResistanceNodes / availMem > 2000000:
lu.dashline(1)
gwarn('Warning:')
gwarn('Circuitscape can only solve 2-3 million nodes')
gwarn('per gigabyte of available RAM. \nTotal physical RAM'
' on your machine is ~' + str(totMem)
+ ' GB. \nAvailable memory is ~'+ str(availMem)
+ ' GB. \nYour resistance raster has '
+ str(numResistanceNodes) + ' nodes.')
lu.dashline(2)
corePairRaster = path.join(linkDir, 'core_pairs'+tif)
arcpy.env.extent = resClipRasterMasked
# Next result needs to be floating pt for numpy export
outCon = arcpy.sa.Con(Raster(cwdRaster1) == 0, corex,
arcpy.sa.Con(Raster(cwdRaster2) == 0, corey + 0.0))
outCon.save(corePairRaster)
coreNpyFN = 'cores_link_' + linkId + '.npy'
coreNpyFile = path.join(INCIRCUITDIR, coreNpyFN)
numElements, numNodes = export_ras_to_npy(corePairRaster,
coreNpyFile)
arcpy.env.extent = "MINOF"
# Set circuitscape options and call
options = lu.setCircuitscapeOptions()
if cfg.WRITE_VOLT_MAPS == True:
options['write_volt_maps']=True
options['habitat_file'] = resNpyFile
# if int(linkId) > 2:
# options['habitat_file'] = 'c:\\test.dummy'
options['point_file'] = coreNpyFile
options['set_focal_node_currents_to_zero']=True
outputFN = 'Circuitscape_link' + linkId + '.out'
options['output_file'] = path.join(OUTCIRCUITDIR, outputFN)
if numElements > 250000:
options['print_timings']=True
configFN = 'pinchpoint_config' + linkId + '.ini'
outConfigFile = path.join(CONFIGDIR, configFN)
lu.writeCircuitscapeConfigFile(outConfigFile, options)
gprint('Processing link ID #' + str(linkId) + '. Resistance map'
' has ' + str(int(numResistanceNodes)) + ' nodes.')
memFlag = call_circuitscape(CSPATH, outConfigFile)
currentFN = ('Circuitscape_link' + linkId
+ '_cum_curmap.npy')
currentMap = path.join(OUTCIRCUITDIR, currentFN)
if not arcpy.Exists(currentMap):
print_failure(numResistanceNodes, memFlag, 10)
numElements, numNodes = export_ras_to_npy(
resClipRasterMasked,resNpyFile)
memFlag = call_circuitscape(CSPATH, outConfigFile)
currentFN = ('Circuitscape_link' + linkId
+ '_cum_curmap.npy')
currentMap = path.join(OUTCIRCUITDIR, currentFN)
if not arcpy.Exists(currentMap):
msg = ('\nCircuitscape failed. See error information above.')
arcpy.AddError(msg)
lu.write_log(msg)
exit(1)
# Either set core areas to nodata in current map or
# divide each by its radius
currentRaster = path.join(linkDir, "current" + tif)
import_npy_to_ras(currentMap,corePairRaster,currentRaster)
if cfg.WRITE_VOLT_MAPS == True:
voltFN = ('Circuitscape_link' + linkId + '_voltmap_'
+ str(corex) + '_'+str(corey) + '.npy')
voltMap = path.join(OUTCIRCUITDIR, voltFN)
voltRaster = path.join(outputGDB,
cfg.PREFIX + "_voltMap_"+ str(corex) + '_'+str(corey))
import_npy_to_ras(voltMap,corePairRaster,voltRaster)
gprint('Building output statistics and pyramids '
'for voltage raster\n')
lu.build_stats(voltRaster)
arcpy.env.extent = currentRaster
if SETCORESTONULL:
# Set core areas to NoData in current map for color ramping
currentRaster2 = currentRaster + '2' + tif
outCon = arcpy.sa.Con(arcpy.sa.IsNull(Raster
(corePairRaster)), Raster(currentRaster))
outCon.save(currentRaster2)
currentRaster = currentRaster2
arcpy.env.extent = "MAXOF"
if linkLoop == 1:
lu.delete_data(mosaicRaster)
@retry(10)
def copyRas2():
arcpy.CopyRaster_management(currentRaster,
mosaicRaster)
copyRas2()
else:
@retry(10)
def mosaicRas():
arcpy.Mosaic_management(currentRaster,
mosaicRaster, "MAXIMUM", "MATCH")
mosaicRas()
resistancesFN = ('Circuitscape_link' + linkId
+ '_resistances_3columns.out')
resistancesFile = path.join(OUTCIRCUITDIR,resistancesFN)
resistances = npy.loadtxt(resistancesFile,
dtype = 'Float64', comments='#')
resistance = float(str(arcpy.env.cellSize)) * resistances[2]
linkTable[link,cfg.LTB_EFFRESIST] = resistance
# Ratio
if not cfg.SQUARERESISTANCES:
linkTable[link,cfg.LTB_CWDTORR] = (linkTable[link,
cfg.LTB_CWDIST] / linkTable[link,cfg.LTB_EFFRESIST])
# Clean up
if cfg.SAVE_TEMP_CIRCUIT_FILES == False:
lu.delete_file(coreNpyFile)
coreNpyBase, extension = path.splitext(coreNpyFile)
lu.delete_data(coreNpyBase + '.hdr')
lu.delete_file(resNpyFile)
resNpyBase, extension = path.splitext(resNpyFile)
lu.delete_data(resNpyBase + '.hdr')
lu.delete_file(currentMap)
curMapBase, extension = path.splitext(currentMap)
lu.delete_data(curMapBase + '.hdr')
lu.delete_data(currentRaster)
lu.clean_out_workspace(linkDir)
lu.delete_dir(linkDir)
gprint('Finished with link ID #' + str(linkId) + '. ' +
str(linkLoop) + ' out of ' + str(numCorridorLinks) +
' links have been processed.')
start_time1 = lu.elapsed_time(start_time1)
outputRaster = path.join(outputGDB, cfg.PREFIX +
"_current_adjacentPairs_" + cutoffText)
lu.delete_data(outputRaster)
@retry(10)
def copyRas():
arcpy.CopyRaster_management(mosaicRaster, outputRaster)
copyRas()
gprint('Building output statistics and pyramids '
'for corridor pinch point raster\n')
lu.build_stats(outputRaster)
finalLinkTable = lu.update_lcp_shapefile(linkTable, lastStep=5,
thisStep=8)
linkTableFile = path.join(cfg.DATAPASSDIR, "linkTable_s5_plus.csv")
lu.write_link_table(finalLinkTable, linkTableFile, inLinkTableFile)
linkTableFinalFile = path.join(cfg.OUTPUTDIR, cfg.PREFIX +
"_linkTable_s5_plus.csv")
lu.write_link_table(finalLinkTable,
linkTableFinalFile, inLinkTableFile)
gprint('Copy of linkTable written to '+
linkTableFinalFile)
#fixme: update sticks?
gprint('Creating shapefiles with linework for links.')
lu.write_link_maps(linkTableFinalFile, step=8)
# Copy final link maps to gdb.
lu.copy_final_link_maps(step=8)
lu.delete_data(mosaicRaster)
if not cfg.DO_ALLPAIRS:
# Clean up temporary files
if not cfg.SAVECURRENTMAPS:
lu.delete_dir(OUTCIRCUITDIR)
return
lu.dashline(1)
gprint('Mapping global pinch points among all\n'
'core area pairs using Circuitscape.')
if cfg.ALL_PAIR_SCENARIO=='pairwise':
gprint('Circuitscape will be run in PAIRWISE mode.')
else:
gprint('Circuitscape will be run in ALL-TO-ONE mode.')
arcpy.env.workspace = cfg.SCRATCHDIR
arcpy.env.scratchWorkspace = cfg.ARCSCRATCHDIR
arcpy.env.extent = cfg.RESRAST
arcpy.env.cellSize = cfg.RESRAST
S8CORE_RAS = "s8core_ras"
s8CoreRasPath = path.join(cfg.SCRATCHDIR,S8CORE_RAS)
arcpy.FeatureToRaster_conversion(cfg.COREFC, cfg.COREFN,
s8CoreRasPath, arcpy.env.cellSize)
binaryCoreRaster = path.join(cfg.SCRATCHDIR,"core_ras_bin")
# The following commands cause file lock problems on save. using gp
# instead.
# outCon = arcpy.sa.Con(S8CORE_RAS, 1, "#", "VALUE > 0")
# outCon.save(binaryCoreRaster)
# gp.Con_sa(s8CoreRasPath, 1, binaryCoreRaster, "#", "VALUE > 0")
outCon = arcpy.sa.Con(Raster(s8CoreRasPath) > 0, 1)
outCon.save(binaryCoreRaster)
s5corridorRas = path.join(cfg.OUTPUTGDB,cfg.PREFIX + "_corridors")
if not arcpy.Exists(s5corridorRas):
s5corridorRas = path.join(cfg.OUTPUTGDB,cfg.PREFIX +
"_lcc_mosaic_int")
outCon = arcpy.sa.Con(Raster(s5corridorRas) <= cfg.CWDCUTOFF, Raster(
resRaster), arcpy.sa.Con(Raster(
binaryCoreRaster) > 0, Raster(resRaster)))
resRasClipPath = path.join(cfg.SCRATCHDIR,'res_ras_clip')
outCon.save(resRasClipPath)
arcpy.env.cellSize = resRasClipPath
arcpy.env.extent = resRasClipPath
s8CoreRasClipped = s8CoreRasPath + '_c'
# Produce core raster with same extent as clipped resistance raster
# added to ensure correct data type- nodata values were positive for
# cores otherwise
outCon = arcpy.sa.Con(arcpy.sa.IsNull(Raster(s8CoreRasPath)),
-9999, Raster(s8CoreRasPath))
outCon.save(s8CoreRasClipped)
resNpyFN = 'resistances.npy'
resNpyFile = path.join(INCIRCUITDIR, resNpyFN)
numElements, numResistanceNodes = export_ras_to_npy(resRasClipPath,resNpyFile)
totMem, availMem = lu.get_mem()
# gprint('Total memory: str(totMem))
if numResistanceNodes / availMem > 2000000:
lu.dashline(1)
gwarn('Warning:')
gwarn('Circuitscape can only solve 2-3 million nodes')
gwarn('per gigabyte of available RAM. \nTotal physical RAM '
'on your machine is ~' + str(totMem)
+ ' GB. \nAvailable memory is ~'+ str(availMem)
+ ' GB. \nYour resistance raster has '
+ str(numResistanceNodes) + ' nodes.')
lu.dashline(0)
coreNpyFN = 'cores.npy'
coreNpyFile = path.join(INCIRCUITDIR, coreNpyFN)
numElements, numNodes = export_ras_to_npy(s8CoreRasClipped,coreNpyFile)
arcpy.env.extent = "MINOF"
options = lu.setCircuitscapeOptions()
options['scenario']=cfg.ALL_PAIR_SCENARIO
options['habitat_file'] = resNpyFile
options['point_file'] = coreNpyFile
options['set_focal_node_currents_to_zero']=True
outputFN = 'Circuitscape.out'
options['output_file'] = path.join(OUTCIRCUITDIR, outputFN)
options['print_timings']=True
configFN = 'pinchpoint_allpair_config.ini'
outConfigFile = path.join(CONFIGDIR, configFN)
lu.writeCircuitscapeConfigFile(outConfigFile, options)
gprint('\nResistance map has ' + str(int(numResistanceNodes)) + ' nodes.')
lu.dashline(1)
gprint('If you try to cancel your run and the Arc dialog hangs, ')
gprint('you can kill Circuitscape by opening Windows Task Manager')
gprint('and ending the cs_run.exe process.')
lu.dashline(0)
call_circuitscape(CSPATH, outConfigFile)
# test = subprocess.call([CSPATH, outConfigFile],
# creationflags = subprocess.CREATE_NEW_CONSOLE)
if options['scenario']=='pairwise':
rasterSuffix = "_current_allPairs_" + cutoffText
else:
rasterSuffix = "_current_allToOne_" + cutoffText
currentFN = 'Circuitscape_cum_curmap.npy'
currentMap = path.join(OUTCIRCUITDIR, currentFN)
outputRaster = path.join(outputGDB, cfg.PREFIX + rasterSuffix)
currentRaster = path.join(cfg.SCRATCHDIR, "current")
try:
import_npy_to_ras(currentMap,resRasClipPath,outputRaster)
except:
lu.dashline(1)
msg = ('ERROR: Circuitscape failed. \n'
'Note: Circuitscape can only solve 2-3 million nodes'
'\nper gigabyte of available RAM. The resistance '
'\nraster for the last corridor had '
+ str(numResistanceNodes) + ' nodes.\n\nResistance '
'raster values that vary by >6 orders of \nmagnitude'
' can also cause failures, as can a mismatch in '
'\ncore area and resistance raster extents.')
arcpy.AddError(msg)
lu.write_log(msg)
exit(1)
#set core areas to nodata
if SETCORESTONULL:
# Set core areas to NoData in current map for color ramping
outputRasterND = outputRaster + '_noDataCores'
outCon = arcpy.sa.SetNull(Raster(s8CoreRasClipped) > 0,
Raster(outputRaster))
outCon.save(outputRasterND)
gprint('\nBuilding output statistics and pyramids '
'for centrality raster.')
lu.build_stats(outputRaster)
lu.build_stats(outputRasterND)
# Clean up temporary files
if not cfg.SAVECURRENTMAPS:
lu.delete_dir(OUTCIRCUITDIR)
# Return GEOPROCESSING specific errors
except arcpy.ExecuteError:
lu.dashline(1)
gprint('****Failed in step 8. Details follow.****')
lu.exit_with_geoproc_error(_SCRIPT_NAME)
# Return any PYTHON or system specific errors
except:
lu.dashline(1)
gprint('****Failed in step 8. Details follow.****')
lu.exit_with_python_error(_SCRIPT_NAME)
def cwadjacency():
"""Calculate cost-weighted adjacency
Inputs: gp - geoprocessing object
"""
try:
ALLOC_RASFN = "CWD_alloc_ras"
gprint('\nCalculating cost-weighted distance adjacency')
outcsvfile = cfg.CWDADJFILE
outcsvLogfile = path.join(cfg.LOGDIR, "cwdAdj_STEP1.csv")
PREFIX = cfg.PREFIX
# May need to set extent prior to core poly to raster conversion...
# ----------------------------------------------
# Cost-weighted allocation code
gp.cellSize = gp.Describe(cfg.RESRAST).MeanCellHeight
gp.extent = gp.Describe(cfg.RESRAST).extent
if cfg.BUFFERDIST is not None:
# Clip resistance raster using bounding circle
start_time = time.clock()
gp.cellSize = gp.Describe(cfg.RESRAST).MeanCellHeight#xxx
gp.extent = gp.Describe(cfg.RESRAST).Extent#xxx
bResistance = path.join(cfg.SCRATCHDIR, "bResistance")
gp.ExtractByMask_sa(cfg.RESRAST, cfg.BNDCIR,
bResistance)
gprint('\nReduced resistance raster extracted using '
'bounding circle.')
start_time = lu.elapsed_time(start_time)
else:
bResistance = cfg.RESRAST
start_time = time.clock()
gprint('Starting cost-weighted distance allocation...')
# core_rastmp = 'core_rastmp'
if cfg.TMAXCWDIST is not None:
gprint('Maximum cost-weighted distance set to ' +
str(cfg.TMAXCWDIST))
gp.CellSize = gp.Describe(bResistance).MeanCellHeight
gp.extent = "MAXOF"
gprint('Processing cell size: ' + gp.CellSize)
gp.workspace = cfg.ADJACENCYDIR
gp.scratchworkspace = cfg.ARCSCRATCHDIR
lu.delete_data(cfg.CWDGDB)
if not gp.exists(cfg.CWDGDB):
gp.createfilegdb(cfg.OUTPUTDIR, path.basename(cfg.CWDGDB))
outDistanceRaster = path.join(cfg.CWDGDB, PREFIX + "_cwd")
alloc_ras = path.join(cfg.ADJACENCYDIR, ALLOC_RASFN)
lu.delete_data(alloc_ras)
lu.delete_data(outDistanceRaster)
count = 0
if arcpy:
statement = ('costAllocOut = CostAllocation(cfg.CORERAS, '
'bResistance, cfg.TMAXCWDIST, cfg.CORERAS,"VALUE", '
'outDistanceRaster);'
'costAllocOut.save(alloc_ras)')
else:
statement = ('gp.Costallocation_sa(cfg.CORERAS, bResistance, '
'alloc_ras, cfg.TMAXCWDIST, cfg.CORERAS, "VALUE", '
'outDistanceRaster, "")')
while True:
try:
exec statement
except:
count, tryAgain = lu.retry_arc_error(count, statement)
if not tryAgain:
exec statement
else:
break
gprint('\nBuilding output statistics and pyramids for CWD raster.')
lu.build_stats(outDistanceRaster)
gp.scratchworkspace = cfg.ARCSCRATCHDIR
gprint('Cost-weighted distance allocation done.')
start_time = lu.elapsed_time(start_time)
adjshiftwrite(alloc_ras, outcsvfile, outcsvLogfile)
# Return GEOPROCESSING specific errors
except arcgisscripting.ExecuteError:
lu.dashline(1)
gprint('****Failed in step 1. Details follow.****')
lu.exit_with_geoproc_error(_SCRIPT_NAME)
# Return any PYTHON or system specific errors
except:
lu.dashline(1)
gprint('****Failed in step 1. Details follow.****')
lu.exit_with_python_error(_SCRIPT_NAME)
def STEP6_calc_barriers():
"""Detects influential barriers given CWD calculations from
s3_calcCwds.py.
"""
try:
arcpy.CheckOutExtension("spatial")
lu.dashline(0)
gprint('Running script ' + _SCRIPT_NAME)
if cfg.BARRIER_CWD_THRESH is not None:
lu.dashline(1)
gprint('Invoking CWD Threshold of ' + str(cfg.BARRIER_CWD_THRESH) +
' map units.')
if cfg.SUM_BARRIERS:
sumSuffix = '_Sum'
cfg.BARRIERBASEDIR = cfg.BARRIERBASEDIR + sumSuffix
baseName, extension = path.splitext(cfg.BARRIERGDB)
cfg.BARRIERGDB = baseName + sumSuffix + extension
gprint('\nBarrier scores will be SUMMED across core pairs.')
else:
sumSuffix = ''
# Delete contents of final ouptut geodatabase
# lu.clean_out_workspace(cfg.BARRIERGDB) #xxx try not doing this to allow multiple radii to be analyzed in separate runs
if not arcpy.Exists(cfg.BARRIERGDB):
# Create output geodatabase
arcpy.CreateFileGDB_management(cfg.OUTPUTDIR,
path.basename(cfg.BARRIERGDB))
startRadius = int(cfg.STARTRADIUS)
endRadius = int(cfg.ENDRADIUS)
radiusStep = int(cfg.RADIUSSTEP)
if radiusStep == 0:
endRadius = startRadius # Calculate at just one radius value
radiusStep = 1
linkTableFile = lu.get_prev_step_link_table(step=6)
arcpy.env.workspace = cfg.SCRATCHDIR
arcpy.env.scratchWorkspace = cfg.ARCSCRATCHDIR
arcpy.RefreshCatalog(cfg.PROJECTDIR)
PREFIX = path.basename(cfg.PROJECTDIR)
# For speed:
arcpy.env.pyramid = "NONE"
arcpy.env.rasterStatistics = "NONE"
# set the analysis extent and cell size to that of the resistance
# surface
arcpy.OverWriteOutput = True
arcpy.env.extent = cfg.RESRAST
arcpy.env.cellSize = cfg.RESRAST
arcpy.env.snapRaster = cfg.RESRAST
spatialref = arcpy.Describe(cfg.RESRAST).spatialReference
mapUnits = (str(spatialref.linearUnitName)).lower()
if len(mapUnits) > 1 and mapUnits[-1] != 's':
mapUnits = mapUnits + 's'
if float(arcpy.env.cellSize) > startRadius or startRadius > endRadius:
msg = ('Error: minimum detection radius must be greater than '
'cell size (' + str(arcpy.env.cellSize) +
') \nand less than or equal to maximum detection radius.')
lu.raise_error(msg)
linkTable = lu.load_link_table(linkTableFile)
numLinks = linkTable.shape[0]
numCorridorLinks = lu.report_links(linkTable)
if numCorridorLinks == 0:
lu.dashline(1)
msg = ('\nThere are no linkages. Bailing.')
lu.raise_error(msg)
# set up directories for barrier and barrier mosaic grids
dirCount = 0
gprint("Creating intermediate output folder: " + cfg.BARRIERBASEDIR)
lu.delete_dir(cfg.BARRIERBASEDIR)
lu.create_dir(cfg.BARRIERBASEDIR)
arcpy.CreateFolder_management(cfg.BARRIERBASEDIR, cfg.BARRIERDIR_NM)
cbarrierdir = path.join(cfg.BARRIERBASEDIR, cfg.BARRIERDIR_NM)
coresToProcess = npy.unique(linkTable[:,
cfg.LTB_CORE1:cfg.LTB_CORE2 + 1])
maxCoreNum = max(coresToProcess)
# Set up focal directories.
# To keep there from being > 100 grids in any one directory,
# outputs are written to:
# barrier\focalX_ for cores 1-99 at radius X
# barrier\focalX_1 for cores 100-199
# etc.
lu.dashline(0)
for radius in range(startRadius, endRadius + 1, radiusStep):
core1path = lu.get_focal_path(1, radius)
path1, dir1 = path.split(core1path)
path2, dir2 = path.split(path1)
arcpy.CreateFolder_management(path.dirname(path2),
path.basename(path2))
arcpy.CreateFolder_management(path.dirname(path1),
path.basename(path1))
if maxCoreNum > 99:
gprint('Creating subdirectories for ' + str(radius) + ' ' +
str(mapUnits) + ' radius analysis scale.')
maxDirCount = int(maxCoreNum / 100)
focalDirBaseName = dir2
cp100 = (coresToProcess.astype('int32')) / 100
ind = npy.where(cp100 > 0)
dirNums = npy.unique(cp100[ind])
for dirNum in dirNums:
focalDir = focalDirBaseName + str(dirNum)
gprint('...' + focalDir)
arcpy.CreateFolder_management(path2, focalDir)
# Create resistance raster with filled-in Nodata values for later use
arcpy.env.extent = cfg.RESRAST
resistFillRaster = path.join(cfg.SCRATCHDIR, "resist_fill")
output = arcpy.sa.Con(IsNull(cfg.RESRAST), 1000000000,
Raster(cfg.RESRAST) - 1)
output.save(resistFillRaster)
coreList = linkTable[:, cfg.LTB_CORE1:cfg.LTB_CORE2 + 1]
coreList = npy.sort(coreList)
# Loop through each search radius to calculate barriers in each link
import time
radId = 0 #keep track of number of radii processed- used for temp dir naming
for radius in range(startRadius, endRadius + 1, radiusStep):
radId = radId + 1
linkTableTemp = linkTable.copy()
@retry(10)
#can't pass vars in and modify them.
def doRadiusLoop():
linkTable = linkTableTemp.copy()
startTime = time.clock()
randomerror()
linkLoop = 0
pctDone = 0
gprint('\nMapping barriers at a radius of ' + str(radius) +
' ' + str(mapUnits))
if cfg.SUM_BARRIERS:
gprint('using SUM method')
else:
gprint('using MAXIMUM method')
if numCorridorLinks > 1:
gprint('0 percent done')
lastMosaicRaster = None
lastMosaicRasterPct = None
for x in range(0, numLinks):
pctDone = lu.report_pct_done(linkLoop, numCorridorLinks,
pctDone)
linkId = str(int(linkTable[x, cfg.LTB_LINKID]))
if ((linkTable[x, cfg.LTB_LINKTYPE] > 0)
and (linkTable[x, cfg.LTB_LINKTYPE] < 1000)):
linkLoop = linkLoop + 1
# source and target cores
corex = int(coreList[x, 0])
corey = int(coreList[x, 1])
# Get cwd rasters for source and target cores
cwdRaster1 = lu.get_cwd_path(corex)
cwdRaster2 = lu.get_cwd_path(corey)
# Mask out areas above CWD threshold
cwdTemp1 = None
cwdTemp2 = None
if cfg.BARRIER_CWD_THRESH is not None:
if x == 1:
lu.dashline(1)
gprint(' Using CWD threshold of ' +
str(cfg.BARRIER_CWD_THRESH) +
' map units.')
arcpy.env.extent = cfg.RESRAST
arcpy.env.cellSize = cfg.RESRAST
arcpy.env.snapRaster = cfg.RESRAST
cwdTemp1 = path.join(cfg.SCRATCHDIR,
"tmp" + str(corex))
outCon = arcpy.sa.Con(
cwdRaster1 < float(cfg.BARRIER_CWD_THRESH),
cwdRaster1)
outCon.save(cwdTemp1)
cwdRaster1 = cwdTemp1
cwdTemp2 = path.join(cfg.SCRATCHDIR,
"tmp" + str(corey))
outCon = arcpy.sa.Con(
cwdRaster2 < float(cfg.BARRIER_CWD_THRESH),
cwdRaster2)
outCon.save(cwdTemp2)
cwdRaster2 = cwdTemp2
focalRaster1 = lu.get_focal_path(corex, radius)
focalRaster2 = lu.get_focal_path(corey, radius)
link = lu.get_links_from_core_pairs(
linkTable, corex, corey)
lcDist = float(linkTable[link, cfg.LTB_CWDIST])
# Detect barriers at radius using neighborhood stats
# Create the Neighborhood Object
innerRadius = radius - 1
outerRadius = radius
dia = 2 * radius
InNeighborhood = ("ANNULUS " + str(innerRadius) + " " +
str(outerRadius) + " MAP")
@retry(10)
def execFocal():
randomerror()
# Execute FocalStatistics
if not path.exists(focalRaster1):
arcpy.env.extent = cwdRaster1
outFocalStats = arcpy.sa.FocalStatistics(
cwdRaster1, InNeighborhood, "MINIMUM",
"DATA")
if setCoresToNull:
outFocalStats2 = arcpy.sa.Con(
outFocalStats > 0, outFocalStats
) # Set areas overlapping cores to NoData xxx
outFocalStats2.save(focalRaster1) #xxx
else:
outFocalStats.save(focalRaster1) #xxx
arcpy.env.extent = cfg.RESRAST
if not path.exists(focalRaster2):
arcpy.env.extent = cwdRaster2
outFocalStats = arcpy.sa.FocalStatistics(
cwdRaster2, InNeighborhood, "MINIMUM",
"DATA")
if setCoresToNull:
outFocalStats2 = arcpy.sa.Con(
outFocalStats > 0, outFocalStats
) # Set areas overlapping cores to NoData xxx
outFocalStats2.save(focalRaster2) #xxx
else:
outFocalStats.save(focalRaster2) #xxx
arcpy.env.extent = cfg.RESRAST
execFocal()
lu.delete_data(cwdTemp1)
lu.delete_data(cwdTemp2)
barrierRaster = path.join(
cbarrierdir, "b" + str(radius) + "_" + str(corex) +
"_" + str(corey) + '.tif')
if cfg.SUM_BARRIERS: # Need to set nulls to 0, also
# create trim rasters as we go
outRas = ((lcDist - Raster(focalRaster1) -
Raster(focalRaster2) - dia) / dia)
outCon = arcpy.sa.Con(IsNull(outRas), 0, outRas)
outCon2 = arcpy.sa.Con(outCon < 0, 0, outCon)
outCon2.save(barrierRaster)
# Execute FocalStatistics to fill out search radii
InNeighborhood = "CIRCLE " + str(
outerRadius) + " MAP"
fillRaster = path.join(
cbarrierdir, "b" + str(radius) + "_" +
str(corex) + "_" + str(corey) + "_fill.tif")
outFocalStats = arcpy.sa.FocalStatistics(
barrierRaster, InNeighborhood, "MAXIMUM",
"DATA")
outFocalStats.save(fillRaster)
if cfg.WRITE_TRIM_RASTERS:
trmRaster = path.join(
cbarrierdir,
"b" + str(radius) + "_" + str(corex) +
"_" + str(corey) + "_trim.tif")
rasterList = [fillRaster, resistFillRaster]
outCellStatistics = arcpy.sa.CellStatistics(
rasterList, "MINIMUM")
outCellStatistics.save(trmRaster)
else:
#Calculate potential benefit per map unit restored
@retry(10)
def calcBen():
randomerror()
outRas = ((lcDist - Raster(focalRaster1) -
Raster(focalRaster2) - dia) / dia)
outRas.save(barrierRaster)
calcBen()
if cfg.WRITE_PCT_RASTERS:
#Calculate PERCENT potential benefit per unit restored
barrierRasterPct = path.join(
cbarrierdir, "b" + str(radius) + "_" +
str(corex) + "_" + str(corey) + '_pct.tif')
@retry(10)
def calcBenPct():
randomerror()
outras = (100 *
(Raster(barrierRaster) / lcDist))
outras.save(barrierRasterPct)
calcBenPct()
# Mosaic barrier results across core area pairs
mosaicDir = path.join(
cfg.SCRATCHDIR,
'mos' + str(radId) + '_' + str(x + 1))
lu.create_dir(mosaicDir)
mosFN = 'mos_temp'
tempMosaicRaster = path.join(mosaicDir, mosFN)
tempMosaicRasterTrim = path.join(
mosaicDir, 'mos_temp_trm')
arcpy.env.workspace = mosaicDir
if linkLoop == 1:
#If this is the first grid then copy rather than mosaic
arcpy.CopyRaster_management(
barrierRaster, tempMosaicRaster)
if cfg.SUM_BARRIERS and cfg.WRITE_TRIM_RASTERS:
arcpy.CopyRaster_management(
trmRaster, tempMosaicRasterTrim)
else:
if cfg.SUM_BARRIERS:
outCon = arcpy.sa.Con(
Raster(barrierRaster) < 0,
lastMosaicRaster,
Raster(barrierRaster) +
Raster(lastMosaicRaster))
outCon.save(tempMosaicRaster)
if cfg.WRITE_TRIM_RASTERS:
outCon = arcpy.sa.Con(
Raster(trmRaster) < 0,
lastMosaicRasterTrim,
Raster(trmRaster) +
Raster(lastMosaicRasterTrim))
outCon.save(tempMosaicRasterTrim)
else:
rasterString = ('"' + barrierRaster + ";" +
lastMosaicRaster + '"')
@retry(10)
def mosaicToNew():
randomerror()
arcpy.MosaicToNewRaster_management(
rasterString, mosaicDir, mosFN, "",
"32_BIT_FLOAT", arcpy.env.cellSize,
"1", "MAXIMUM", "MATCH")
mosaicToNew()
# gprint(str(corex)+'0'+str(corey))
if linkLoop > 1: #Clean up from previous loop
lu.delete_data(lastMosaicRaster)
lastMosaicDir = path.dirname(lastMosaicRaster)
lu.clean_out_workspace(lastMosaicDir)
lu.delete_dir(lastMosaicDir)
lastMosaicRaster = tempMosaicRaster
if cfg.WRITE_TRIM_RASTERS:
lastMosaicRasterTrim = tempMosaicRasterTrim
if cfg.WRITE_PCT_RASTERS:
mosPctFN = 'mos_temp_pct'
mosaicDirPct = path.join(
cfg.SCRATCHDIR,
'mosP' + str(radId) + '_' + str(x + 1))
lu.create_dir(mosaicDirPct)
tempMosaicRasterPct = path.join(
mosaicDirPct, mosPctFN)
if linkLoop == 1:
# If this is the first grid then copy
# rather than mosaic
if cfg.SUM_BARRIERS:
outCon = arcpy.sa.Con(
Raster(barrierRasterPct) < 0, 0,
arcpy.sa.Con(IsNull(barrierRasterPct),
0, barrierRasterPct))
outCon.save(tempMosaicRasterPct)
else:
arcpy.CopyRaster_management(
barrierRasterPct, tempMosaicRasterPct)
else:
if cfg.SUM_BARRIERS:
@retry(10)
def sumBarriers():
randomerror()
outCon = arcpy.sa.Con(
Raster(barrierRasterPct) < 0,
lastMosaicRasterPct,
Raster(barrierRasterPct) +
Raster(lastMosaicRasterPct))
outCon.save(tempMosaicRasterPct)
sumBarriers()
else:
rasterString = ('"' + barrierRasterPct +
";" + lastMosaicRasterPct +
'"')
@retry(10)
def maxBarriers():
randomerror()
arcpy.MosaicToNewRaster_management(
rasterString, mosaicDirPct,
mosPctFN, "", "32_BIT_FLOAT",
arcpy.env.cellSize, "1", "MAXIMUM",
"MATCH")
maxBarriers()
if linkLoop > 1: #Clean up from previous loop
lu.delete_data(lastMosaicRasterPct)
lastMosaicDirPct = path.dirname(
lastMosaicRasterPct)
lu.clean_out_workspace(lastMosaicDirPct)
lu.delete_dir(lastMosaicDirPct)
# lu.delete_data(lastMosaicRasterPct)
lastMosaicRasterPct = tempMosaicRasterPct
if not cfg.SAVEBARRIERRASTERS:
lu.delete_data(barrierRaster)
if cfg.WRITE_PCT_RASTERS:
lu.delete_data(barrierRasterPct)
if cfg.WRITE_TRIM_RASTERS:
lu.delete_data(trmRaster)
# Temporarily disable links in linktable -
# don't want to mosaic them twice
for y in range(x + 1, numLinks):
corex1 = int(coreList[y, 0])
corey1 = int(coreList[y, 1])
if corex1 == corex and corey1 == corey:
linkTable[y, cfg.LTB_LINKTYPE] = (
linkTable[y, cfg.LTB_LINKTYPE] + 1000)
elif corex1 == corey and corey1 == corex:
linkTable[y, cfg.LTB_LINKTYPE] = (
linkTable[y, cfg.LTB_LINKTYPE] + 1000)
if numCorridorLinks > 1 and pctDone < 100:
gprint('100 percent done')
gprint('Summarizing barrier data for search radius.')
#rows that were temporarily disabled
rows = npy.where(linkTable[:, cfg.LTB_LINKTYPE] > 1000)
linkTable[rows, cfg.LTB_LINKTYPE] = (
linkTable[rows, cfg.LTB_LINKTYPE] - 1000)
# -----------------------------------------------------------------
# Set negative values to null or zero and write geodatabase.
mosaicFN = (PREFIX + "_BarrierCenters" + sumSuffix + "_Rad" +
str(radius))
mosaicRaster = path.join(cfg.BARRIERGDB, mosaicFN)
arcpy.env.extent = cfg.RESRAST
# if setCoresToNull:
# outCon = arcpy.sa.Con(Raster(tempMosaicRaster) < 0, 0,
# tempMosaicRaster) #xxx
# outCon.save(mosaicRaster) #xxx
# else:
outSetNull = arcpy.sa.SetNull(tempMosaicRaster,
tempMosaicRaster,
"VALUE < 0") #xxx orig
outSetNull.save(mosaicRaster)
lu.delete_data(tempMosaicRaster)
if cfg.SUM_BARRIERS and cfg.WRITE_TRIM_RASTERS:
mosaicFN = (PREFIX + "_BarrierCircles_RBMin" + sumSuffix +
"_Rad" + str(radius))
mosaicRasterTrim = path.join(cfg.BARRIERGDB, mosaicFN)
arcpy.CopyRaster_management(tempMosaicRasterTrim,
mosaicRasterTrim)
lu.delete_data(tempMosaicRaster)
if cfg.WRITE_PCT_RASTERS:
# Do same for percent raster
mosaicPctFN = (PREFIX + "_BarrierCenters_Pct" + sumSuffix +
"_Rad" + str(radius))
arcpy.env.extent = cfg.RESRAST
outSetNull = arcpy.sa.SetNull(tempMosaicRasterPct,
tempMosaicRasterPct,
"VALUE < 0")
mosaicRasterPct = path.join(cfg.BARRIERGDB, mosaicPctFN)
outSetNull.save(mosaicRasterPct)
lu.delete_data(tempMosaicRasterPct)
# 'Grow out' maximum restoration gain to
# neighborhood size for display
InNeighborhood = "CIRCLE " + str(outerRadius) + " MAP"
# Execute FocalStatistics
fillRasterFN = "barriers_fill" + str(outerRadius) + tif
fillRaster = path.join(cfg.BARRIERBASEDIR, fillRasterFN)
outFocalStats = arcpy.sa.FocalStatistics(
mosaicRaster, InNeighborhood, "MAXIMUM", "DATA")
outFocalStats.save(fillRaster)
if cfg.WRITE_PCT_RASTERS:
# Do same for percent raster
fillRasterPctFN = "barriers_fill_pct" + str(
outerRadius) + tif
fillRasterPct = path.join(cfg.BARRIERBASEDIR,
fillRasterPctFN)
outFocalStats = arcpy.sa.FocalStatistics(
mosaicRasterPct, InNeighborhood, "MAXIMUM", "DATA")
outFocalStats.save(fillRasterPct)
#Place copies of filled rasters in output geodatabase
arcpy.env.workspace = cfg.BARRIERGDB
fillRasterFN = (PREFIX + "_BarrrierCircles" + sumSuffix +
"_Rad" + str(outerRadius))
arcpy.CopyRaster_management(fillRaster, fillRasterFN)
if cfg.WRITE_PCT_RASTERS:
fillRasterPctFN = (PREFIX + "_BarrrierCircles_Pct" +
sumSuffix + "_Rad" + str(outerRadius))
arcpy.CopyRaster_management(fillRasterPct, fillRasterPctFN)
if not cfg.SUM_BARRIERS and cfg.WRITE_TRIM_RASTERS:
# Create pared-down version of filled raster- remove pixels
# that don't need restoring by allowing a pixel to only
# contribute its resistance value to restoration gain
outRasterFN = "barriers_trm" + str(outerRadius) + tif
outRaster = path.join(cfg.BARRIERBASEDIR, outRasterFN)
rasterList = [fillRaster, resistFillRaster]
outCellStatistics = arcpy.sa.CellStatistics(
rasterList, "MINIMUM")
outCellStatistics.save(outRaster)
#SECOND ROUND TO CLIP BY DATA VALUES IN BARRIER RASTER
outRaster2FN = ("barriers_trm" + sumSuffix +
str(outerRadius) + "_2" + tif)
outRaster2 = path.join(cfg.BARRIERBASEDIR, outRaster2FN)
output = arcpy.sa.Con(IsNull(fillRaster), fillRaster,
outRaster)
output.save(outRaster2)
outRasterFN = (PREFIX + "_BarrierCircles_RBMin" +
sumSuffix + "_Rad" + str(outerRadius))
outRasterPath = path.join(cfg.BARRIERGDB, outRasterFN)
arcpy.CopyRaster_management(outRaster2, outRasterFN)
randomerror()
startTime = lu.elapsed_time(startTime)
# Call the above function
doRadiusLoop()
# Combine rasters across radii
gprint('\nCreating summary rasters...')
if startRadius != endRadius:
radiiSuffix = ('_Rad' + str(int(startRadius)) + 'To' +
str(int(endRadius)) + 'Step' + str(int(radiusStep)))
mosaicFN = "bar_radii"
mosaicPctFN = "bar_radii_pct"
arcpy.env.workspace = cfg.BARRIERBASEDIR
for radius in range(startRadius, endRadius + 1, radiusStep):
#Fixme: run speed test with gdb mosaicking above and here
radiusFN = (PREFIX + "_BarrierCenters" + sumSuffix + "_Rad" +
str(radius))
radiusRaster = path.join(cfg.BARRIERGDB, radiusFN)
if radius == startRadius:
#If this is the first grid then copy rather than mosaic
arcpy.CopyRaster_management(radiusRaster, mosaicFN)
else:
mosaicRaster = path.join(cfg.BARRIERBASEDIR, mosaicFN)
arcpy.Mosaic_management(radiusRaster, mosaicRaster,
"MAXIMUM", "MATCH")
if cfg.WRITE_PCT_RASTERS:
radiusPctFN = (PREFIX + "_BarrierCenters_Pct" + sumSuffix +
"_Rad" + str(radius))
radiusRasterPct = path.join(cfg.BARRIERGDB, radiusPctFN)
if radius == startRadius:
#If this is the first grid then copy rather than mosaic
arcpy.CopyRaster_management(radiusRasterPct,
mosaicPctFN)
else:
mosaicRasterPct = path.join(cfg.BARRIERBASEDIR,
mosaicPctFN)
arcpy.Mosaic_management(radiusRasterPct,
mosaicRasterPct, "MAXIMUM",
"MATCH")
# Copy results to output geodatabase
arcpy.env.workspace = cfg.BARRIERGDB
mosaicFN = PREFIX + "_BarrierCenters" + sumSuffix + radiiSuffix
arcpy.CopyRaster_management(mosaicRaster, mosaicFN)
if cfg.WRITE_PCT_RASTERS:
mosaicPctFN = (PREFIX + "_BarrierCenters_Pct" + sumSuffix +
radiiSuffix)
arcpy.CopyRaster_management(mosaicRasterPct, mosaicPctFN)
#GROWN OUT rasters
fillMosaicFN = "barriers_radii_fill" + tif
fillMosaicPctFN = "barriers_radii_fill_pct" + tif
fillMosaicRaster = path.join(cfg.BARRIERBASEDIR, fillMosaicFN)
fillMosaicRasterPct = path.join(cfg.BARRIERBASEDIR,
fillMosaicPctFN)
arcpy.env.workspace = cfg.BARRIERBASEDIR
for radius in range(startRadius, endRadius + 1, radiusStep):
radiusFN = "barriers_fill" + str(radius) + tif
#fixme- do this when only a single radius too
radiusRaster = path.join(cfg.BARRIERBASEDIR, radiusFN)
if radius == startRadius:
#If this is the first grid then copy rather than mosaic
arcpy.CopyRaster_management(radiusRaster, fillMosaicFN)
else:
arcpy.Mosaic_management(radiusRaster, fillMosaicRaster,
"MAXIMUM", "MATCH")
if cfg.WRITE_PCT_RASTERS:
radiusPctFN = "barriers_fill_pct" + str(radius) + tif
#fixme- do this when only a single radius too
radiusRasterPct = path.join(cfg.BARRIERBASEDIR,
radiusPctFN)
if radius == startRadius:
#If this is the first grid then copy rather than mosaic
arcpy.CopyRaster_management(radiusRasterPct,
fillMosaicPctFN)
else:
arcpy.Mosaic_management(radiusRasterPct,
fillMosaicRasterPct, "MAXIMUM",
"MATCH")
# Copy result to output geodatabase
arcpy.env.workspace = cfg.BARRIERGDB
fillMosaicFN = PREFIX + "_BarrierCircles" + sumSuffix + radiiSuffix
arcpy.CopyRaster_management(fillMosaicRaster, fillMosaicFN)
if cfg.WRITE_PCT_RASTERS:
fillMosaicPctFN = (PREFIX + "_BarrierCircles_Pct" + sumSuffix +
radiiSuffix)
arcpy.CopyRaster_management(fillMosaicRasterPct,
fillMosaicPctFN)
# if not cfg.SUM_BARRIERS:
#GROWN OUT AND TRIMMED rasters (Can't do percent)
if cfg.WRITE_TRIM_RASTERS:
trimMosaicFN = "bar_radii_trm"
arcpy.env.workspace = cfg.BARRIERBASEDIR
trimMosaicRaster = path.join(cfg.BARRIERBASEDIR, trimMosaicFN)
for radius in range(startRadius, endRadius + 1, radiusStep):
radiusFN = (PREFIX + "_BarrierCircles_RBMin" + sumSuffix +
"_Rad" + str(radius))
#fixme- do this when only a single radius too
radiusRaster = path.join(cfg.BARRIERGDB, radiusFN)
if radius == startRadius:
#If this is the first grid then copy rather than mosaic
arcpy.CopyRaster_management(radiusRaster, trimMosaicFN)
else:
arcpy.Mosaic_management(radiusRaster, trimMosaicRaster,
"MAXIMUM", "MATCH")
# Copy result to output geodatabase
arcpy.env.workspace = cfg.BARRIERGDB
trimMosaicFN = (PREFIX + "_BarrierCircles_RBMin" + sumSuffix +
radiiSuffix)
arcpy.CopyRaster_management(trimMosaicRaster, trimMosaicFN)
if not cfg.SAVE_RADIUS_RASTERS:
arcpy.env.workspace = cfg.BARRIERGDB
rasters = arcpy.ListRasters()
for raster in rasters:
if 'rad' in raster.lower() and not 'step' in raster.lower():
lu.delete_data(raster)
arcpy.env.workspace = cfg.BARRIERGDB
rasters = arcpy.ListRasters()
for raster in rasters:
gprint('\nBuilding output statistics and pyramids\n'
'for raster ' + raster)
lu.build_stats(raster)
#Clean up temporary files and directories
if not cfg.SAVEBARRIERRASTERS:
lu.delete_dir(cbarrierdir)
lu.delete_dir(cfg.BARRIERBASEDIR)
if not cfg.SAVEFOCALRASTERS:
for radius in range(startRadius, endRadius + 1, radiusStep):
core1path = lu.get_focal_path(1, radius)
path1, dir1 = path.split(core1path)
path2, dir2 = path.split(path1)
lu.delete_dir(path2)
# Return GEOPROCESSING specific errors
except arcpy.ExecuteError:
lu.dashline(1)
gprint('****Failed in step 6. Details follow.****')
lu.exit_with_geoproc_error(_SCRIPT_NAME)
# Return any PYTHON or system specific errors
except:
lu.dashline(1)
gprint('****Failed in step 6. Details follow.****')
lu.exit_with_python_error(_SCRIPT_NAME)
return
def STEP6_calc_barriers():
"""Detects influential barriers given CWD calculations from
s3_calcCwds.py.
"""
try:
arcpy.CheckOutExtension("spatial")
lu.dashline(0)
gprint('Running script ' + _SCRIPT_NAME)
if cfg.BARRIER_CWD_THRESH is not None:
lu.dashline(1)
gprint('Invoking CWD Threshold of ' + str(cfg.BARRIER_CWD_THRESH) + ' map units.')
if cfg.SUM_BARRIERS:
sumSuffix = '_Sum'
cfg.BARRIERBASEDIR = cfg.BARRIERBASEDIR + sumSuffix
baseName, extension = path.splitext(cfg.BARRIERGDB)
cfg.BARRIERGDB = baseName + sumSuffix + extension
gprint('\nBarrier scores will be SUMMED across core pairs.')
else:
sumSuffix = ''
# Delete contents of final ouptut geodatabase
# lu.clean_out_workspace(cfg.BARRIERGDB) #xxx try not doing this to allow multiple radii to be analyzed in separate runs
if not arcpy.Exists(cfg.BARRIERGDB):
# Create output geodatabase
arcpy.CreateFileGDB_management(cfg.OUTPUTDIR,
path.basename(cfg.BARRIERGDB))
startRadius = int(cfg.STARTRADIUS)
endRadius = int(cfg.ENDRADIUS)
radiusStep = int(cfg.RADIUSSTEP)
if radiusStep == 0:
endRadius = startRadius # Calculate at just one radius value
radiusStep = 1
linkTableFile = lu.get_prev_step_link_table(step=6)
arcpy.env.workspace = cfg.SCRATCHDIR
arcpy.env.scratchWorkspace = cfg.ARCSCRATCHDIR
arcpy.RefreshCatalog(cfg.PROJECTDIR)
PREFIX = path.basename(cfg.PROJECTDIR)
# For speed:
arcpy.env.pyramid = "NONE"
arcpy.env.rasterStatistics = "NONE"
# set the analysis extent and cell size to that of the resistance
# surface
arcpy.OverWriteOutput = True
arcpy.env.extent = cfg.RESRAST
arcpy.env.cellSize = cfg.RESRAST
arcpy.env.snapRaster = cfg.RESRAST
spatialref = arcpy.Describe(cfg.RESRAST).spatialReference
mapUnits = (str(spatialref.linearUnitName)).lower()
if len(mapUnits) > 1 and mapUnits[-1] != 's':
mapUnits = mapUnits + 's'
if float(arcpy.env.cellSize) > startRadius or startRadius > endRadius:
msg = ('Error: minimum detection radius must be greater than '
'cell size (' + str(arcpy.env.cellSize) +
') \nand less than or equal to maximum detection radius.')
lu.raise_error(msg)
linkTable = lu.load_link_table(linkTableFile)
numLinks = linkTable.shape[0]
numCorridorLinks = lu.report_links(linkTable)
if numCorridorLinks == 0:
lu.dashline(1)
msg =('\nThere are no linkages. Bailing.')
lu.raise_error(msg)
# set up directories for barrier and barrier mosaic grids
dirCount = 0
gprint("Creating intermediate output folder: " + cfg.BARRIERBASEDIR)
lu.delete_dir(cfg.BARRIERBASEDIR)
lu.create_dir(cfg.BARRIERBASEDIR)
arcpy.CreateFolder_management(cfg.BARRIERBASEDIR, cfg.BARRIERDIR_NM)
cbarrierdir = path.join(cfg.BARRIERBASEDIR, cfg.BARRIERDIR_NM)
coresToProcess = npy.unique(linkTable
[:, cfg.LTB_CORE1:cfg.LTB_CORE2 + 1])
maxCoreNum = max(coresToProcess)
# Set up focal directories.
# To keep there from being > 100 grids in any one directory,
# outputs are written to:
# barrier\focalX_ for cores 1-99 at radius X
# barrier\focalX_1 for cores 100-199
# etc.
lu.dashline(0)
for radius in range(startRadius, endRadius + 1, radiusStep):
core1path = lu.get_focal_path(1,radius)
path1, dir1 = path.split(core1path)
path2, dir2 = path.split(path1)
arcpy.CreateFolder_management(path.dirname(path2),
path.basename(path2))
arcpy.CreateFolder_management(path.dirname(path1),
path.basename(path1))
if maxCoreNum > 99:
gprint('Creating subdirectories for ' + str(radius) + ' ' +
str(mapUnits) + ' radius analysis scale.')
maxDirCount = int(maxCoreNum/100)
focalDirBaseName = dir2
cp100 = (coresToProcess.astype('int32'))/100
ind = npy.where(cp100 > 0)
dirNums = npy.unique(cp100[ind])
for dirNum in dirNums:
focalDir = focalDirBaseName + str(dirNum)
gprint('...' + focalDir)
arcpy.CreateFolder_management(path2, focalDir)
# Create resistance raster with filled-in Nodata values for later use
arcpy.env.extent = cfg.RESRAST
resistFillRaster = path.join(cfg.SCRATCHDIR, "resist_fill")
output = arcpy.sa.Con(IsNull(cfg.RESRAST), 1000000000,
Raster(cfg.RESRAST) - 1)
output.save(resistFillRaster)
coreList = linkTable[:,cfg.LTB_CORE1:cfg.LTB_CORE2+1]
coreList = npy.sort(coreList)
# Loop through each search radius to calculate barriers in each link
import time
radId = 0 #keep track of number of radii processed- used for temp dir naming
for radius in range (startRadius, endRadius + 1, radiusStep):
radId = radId + 1
linkTableTemp = linkTable.copy()
@retry(10)
#can't pass vars in and modify them.
def doRadiusLoop():
linkTable = linkTableTemp.copy()
startTime = time.clock()
randomerror()
linkLoop = 0
pctDone = 0
gprint('\nMapping barriers at a radius of ' + str(radius) +
' ' + str(mapUnits))
if cfg.SUM_BARRIERS:
gprint('using SUM method')
else:
gprint('using MAXIMUM method')
if numCorridorLinks > 1:
gprint('0 percent done')
lastMosaicRaster = None
lastMosaicRasterPct = None
for x in range(0,numLinks):
pctDone = lu.report_pct_done(linkLoop, numCorridorLinks,
pctDone)
linkId = str(int(linkTable[x,cfg.LTB_LINKID]))
if ((linkTable[x,cfg.LTB_LINKTYPE] > 0) and
(linkTable[x,cfg.LTB_LINKTYPE] < 1000)):
linkLoop = linkLoop + 1
# source and target cores
corex=int(coreList[x,0])
corey=int(coreList[x,1])
# Get cwd rasters for source and target cores
cwdRaster1 = lu.get_cwd_path(corex)
cwdRaster2 = lu.get_cwd_path(corey)
# Mask out areas above CWD threshold
cwdTemp1 = None
cwdTemp2 = None
if cfg.BARRIER_CWD_THRESH is not None:
if x == 1:
lu.dashline(1)
gprint(' Using CWD threshold of ' + str(cfg.BARRIER_CWD_THRESH) + ' map units.')
arcpy.env.extent = cfg.RESRAST
arcpy.env.cellSize = cfg.RESRAST
arcpy.env.snapRaster = cfg.RESRAST
cwdTemp1 = path.join(cfg.SCRATCHDIR, "tmp"+str(corex))
outCon = arcpy.sa.Con(cwdRaster1 < float(cfg.BARRIER_CWD_THRESH),cwdRaster1)
outCon.save(cwdTemp1)
cwdRaster1 = cwdTemp1
cwdTemp2 = path.join(cfg.SCRATCHDIR, "tmp"+str(corey))
outCon = arcpy.sa.Con(cwdRaster2 < float(cfg.BARRIER_CWD_THRESH),cwdRaster2)
outCon.save(cwdTemp2)
cwdRaster2 = cwdTemp2
focalRaster1 = lu.get_focal_path(corex,radius)
focalRaster2 = lu.get_focal_path(corey,radius)
link = lu.get_links_from_core_pairs(linkTable,
corex, corey)
lcDist = float(linkTable[link,cfg.LTB_CWDIST])
# Detect barriers at radius using neighborhood stats
# Create the Neighborhood Object
innerRadius = radius - 1
outerRadius = radius
dia = 2 * radius
InNeighborhood = ("ANNULUS " + str(innerRadius) + " " +
str(outerRadius) + " MAP")
@retry(10)
def execFocal():
randomerror()
# Execute FocalStatistics
if not path.exists(focalRaster1):
arcpy.env.extent = cwdRaster1
outFocalStats = arcpy.sa.FocalStatistics(cwdRaster1,
InNeighborhood, "MINIMUM","DATA")
if setCoresToNull:
outFocalStats2 = arcpy.sa.Con(outFocalStats > 0, outFocalStats) # Set areas overlapping cores to NoData xxx
outFocalStats2.save(focalRaster1) #xxx
else:
outFocalStats.save(focalRaster1) #xxx
arcpy.env.extent = cfg.RESRAST
if not path.exists(focalRaster2):
arcpy.env.extent = cwdRaster2
outFocalStats = arcpy.sa.FocalStatistics(cwdRaster2,
InNeighborhood, "MINIMUM","DATA")
if setCoresToNull:
outFocalStats2 = arcpy.sa.Con(outFocalStats > 0, outFocalStats) # Set areas overlapping cores to NoData xxx
outFocalStats2.save(focalRaster2)#xxx
else:
outFocalStats.save(focalRaster2) #xxx
arcpy.env.extent = cfg.RESRAST
execFocal()
lu.delete_data(cwdTemp1)
lu.delete_data(cwdTemp2)
barrierRaster = path.join(cbarrierdir, "b" + str(radius)
+ "_" + str(corex) + "_" +
str(corey)+'.tif')
if cfg.SUM_BARRIERS: # Need to set nulls to 0, also
# create trim rasters as we go
outRas = ((lcDist - Raster(focalRaster1) -
Raster(focalRaster2) - dia) / dia)
outCon = arcpy.sa.Con(IsNull(outRas),0,outRas)
outCon2 = arcpy.sa.Con(outCon<0,0,outCon)
outCon2.save(barrierRaster)
# Execute FocalStatistics to fill out search radii
InNeighborhood = "CIRCLE " + str(outerRadius) + " MAP"
fillRaster = path.join(cbarrierdir, "b" + str(radius)
+ "_" + str(corex) + "_" + str(corey) +"_fill.tif")
outFocalStats = arcpy.sa.FocalStatistics(barrierRaster,
InNeighborhood, "MAXIMUM","DATA")
outFocalStats.save(fillRaster)
if cfg.WRITE_TRIM_RASTERS:
trmRaster = path.join(cbarrierdir, "b" +
str(radius)
+ "_" + str(corex) + "_" + str(corey) +"_trim.tif")
rasterList = [fillRaster, resistFillRaster]
outCellStatistics = arcpy.sa.CellStatistics(
rasterList, "MINIMUM")
outCellStatistics.save(trmRaster)
else:
#Calculate potential benefit per map unit restored
@retry(10)
def calcBen():
randomerror()
outRas = ((lcDist - Raster(focalRaster1)
- Raster(focalRaster2) - dia) / dia)
outRas.save(barrierRaster)
calcBen()
if cfg.WRITE_PCT_RASTERS:
#Calculate PERCENT potential benefit per unit restored
barrierRasterPct = path.join(cbarrierdir, "b" +
str(radius)
+ "_" + str(corex) + "_" +
str(corey)+'_pct.tif')
@retry(10)
def calcBenPct():
randomerror()
outras = (100 * (Raster(barrierRaster) / lcDist))
outras.save(barrierRasterPct)
calcBenPct()
# Mosaic barrier results across core area pairs
mosaicDir = path.join(cfg.SCRATCHDIR,'mos'+str(radId)+'_'+str(x+1))
lu.create_dir(mosaicDir)
mosFN = 'mos_temp'
tempMosaicRaster = path.join(mosaicDir,mosFN)
tempMosaicRasterTrim = path.join(mosaicDir,'mos_temp_trm')
arcpy.env.workspace = mosaicDir
if linkLoop == 1:
#If this is the first grid then copy rather than mosaic
arcpy.CopyRaster_management(barrierRaster,
tempMosaicRaster)
if cfg.SUM_BARRIERS and cfg.WRITE_TRIM_RASTERS:
arcpy.CopyRaster_management(trmRaster,
tempMosaicRasterTrim)
else:
if cfg.SUM_BARRIERS:
outCon = arcpy.sa.Con(Raster (barrierRaster) < 0, lastMosaicRaster,
Raster(barrierRaster) + Raster(lastMosaicRaster))
outCon.save(tempMosaicRaster)
if cfg.WRITE_TRIM_RASTERS:
outCon = arcpy.sa.Con(Raster
(trmRaster) < 0, lastMosaicRasterTrim,
Raster(trmRaster) + Raster(
lastMosaicRasterTrim))
outCon.save(tempMosaicRasterTrim)
else:
rasterString = ('"'+barrierRaster+";" +
lastMosaicRaster+'"')
@retry(10)
def mosaicToNew():
randomerror()
arcpy.MosaicToNewRaster_management(
rasterString,mosaicDir,mosFN, "",
"32_BIT_FLOAT", arcpy.env.cellSize, "1",
"MAXIMUM", "MATCH")
mosaicToNew()
# gprint(str(corex)+'0'+str(corey))
if linkLoop>1: #Clean up from previous loop
lu.delete_data(lastMosaicRaster)
lastMosaicDir =path.dirname(lastMosaicRaster)
lu.clean_out_workspace(lastMosaicDir)
lu.delete_dir(lastMosaicDir)
lastMosaicRaster = tempMosaicRaster
if cfg.WRITE_TRIM_RASTERS:
lastMosaicRasterTrim = tempMosaicRasterTrim
if cfg.WRITE_PCT_RASTERS:
mosPctFN = 'mos_temp_pct'
mosaicDirPct = path.join(cfg.SCRATCHDIR,'mosP'+str(radId)+'_'+str(x+1))
lu.create_dir(mosaicDirPct)
tempMosaicRasterPct = path.join(mosaicDirPct,mosPctFN)
if linkLoop == 1:
# If this is the first grid then copy
# rather than mosaic
if cfg.SUM_BARRIERS:
outCon = arcpy.sa.Con(Raster(barrierRasterPct)
< 0, 0, arcpy.sa.Con(IsNull(
barrierRasterPct), 0, barrierRasterPct))
outCon.save(tempMosaicRasterPct)
else:
arcpy.CopyRaster_management(barrierRasterPct,
tempMosaicRasterPct)
else:
if cfg.SUM_BARRIERS:
@retry(10)
def sumBarriers():
randomerror()
outCon = arcpy.sa.Con(Raster(barrierRasterPct) < 0,
lastMosaicRasterPct, Raster(barrierRasterPct) + Raster(
lastMosaicRasterPct))
outCon.save(tempMosaicRasterPct)
sumBarriers()
else:
rasterString = ('"' + barrierRasterPct + ";" +
lastMosaicRasterPct + '"')
@retry(10)
def maxBarriers():
randomerror()
arcpy.MosaicToNewRaster_management(
rasterString,mosaicDirPct,mosPctFN, "",
"32_BIT_FLOAT", arcpy.env.cellSize, "1",
"MAXIMUM", "MATCH")
maxBarriers()
if linkLoop>1: #Clean up from previous loop
lu.delete_data(lastMosaicRasterPct)
lastMosaicDirPct =path.dirname(lastMosaicRasterPct)
lu.clean_out_workspace(lastMosaicDirPct)
lu.delete_dir(lastMosaicDirPct)
# lu.delete_data(lastMosaicRasterPct)
lastMosaicRasterPct = tempMosaicRasterPct
if not cfg.SAVEBARRIERRASTERS:
lu.delete_data(barrierRaster)
if cfg.WRITE_PCT_RASTERS:
lu.delete_data(barrierRasterPct)
if cfg.WRITE_TRIM_RASTERS:
lu.delete_data(trmRaster)
# Temporarily disable links in linktable -
# don't want to mosaic them twice
for y in range (x+1,numLinks):
corex1 = int(coreList[y,0])
corey1 = int(coreList[y,1])
if corex1 == corex and corey1 == corey:
linkTable[y,cfg.LTB_LINKTYPE] = (
linkTable[y,cfg.LTB_LINKTYPE] + 1000)
elif corex1==corey and corey1==corex:
linkTable[y,cfg.LTB_LINKTYPE] = (
linkTable[y,cfg.LTB_LINKTYPE] + 1000)
if numCorridorLinks > 1 and pctDone < 100:
gprint('100 percent done')
gprint('Summarizing barrier data for search radius.')
#rows that were temporarily disabled
rows = npy.where(linkTable[:,cfg.LTB_LINKTYPE]>1000)
linkTable[rows,cfg.LTB_LINKTYPE] = (
linkTable[rows,cfg.LTB_LINKTYPE] - 1000)
# -----------------------------------------------------------------
# Set negative values to null or zero and write geodatabase.
mosaicFN = (PREFIX + "_BarrierCenters" + sumSuffix + "_Rad" +
str(radius))
mosaicRaster = path.join(cfg.BARRIERGDB, mosaicFN)
arcpy.env.extent = cfg.RESRAST
# if setCoresToNull:
# outCon = arcpy.sa.Con(Raster(tempMosaicRaster) < 0, 0,
# tempMosaicRaster) #xxx
# outCon.save(mosaicRaster) #xxx
# else:
outSetNull = arcpy.sa.SetNull(tempMosaicRaster, tempMosaicRaster,
"VALUE < 0") #xxx orig
outSetNull.save(mosaicRaster)
lu.delete_data(tempMosaicRaster)
if cfg.SUM_BARRIERS and cfg.WRITE_TRIM_RASTERS:
mosaicFN = (PREFIX + "_BarrierCircles_RBMin" + sumSuffix +
"_Rad" + str(radius))
mosaicRasterTrim = path.join(cfg.BARRIERGDB, mosaicFN)
arcpy.CopyRaster_management(tempMosaicRasterTrim,
mosaicRasterTrim)
lu.delete_data(tempMosaicRaster)
if cfg.WRITE_PCT_RASTERS:
# Do same for percent raster
mosaicPctFN = (PREFIX + "_BarrierCenters_Pct" + sumSuffix +
"_Rad" + str(radius))
arcpy.env.extent = cfg.RESRAST
outSetNull = arcpy.sa.SetNull(tempMosaicRasterPct,
tempMosaicRasterPct, "VALUE < 0")
mosaicRasterPct = path.join(cfg.BARRIERGDB, mosaicPctFN)
outSetNull.save(mosaicRasterPct)
lu.delete_data(tempMosaicRasterPct)
# 'Grow out' maximum restoration gain to
# neighborhood size for display
InNeighborhood = "CIRCLE " + str(outerRadius) + " MAP"
# Execute FocalStatistics
fillRasterFN = "barriers_fill" + str(outerRadius) + tif
fillRaster = path.join(cfg.BARRIERBASEDIR, fillRasterFN)
outFocalStats = arcpy.sa.FocalStatistics(mosaicRaster,
InNeighborhood, "MAXIMUM","DATA")
outFocalStats.save(fillRaster)
if cfg.WRITE_PCT_RASTERS:
# Do same for percent raster
fillRasterPctFN = "barriers_fill_pct" + str(outerRadius) + tif
fillRasterPct = path.join(cfg.BARRIERBASEDIR, fillRasterPctFN)
outFocalStats = arcpy.sa.FocalStatistics(mosaicRasterPct,
InNeighborhood, "MAXIMUM","DATA")
outFocalStats.save(fillRasterPct)
#Place copies of filled rasters in output geodatabase
arcpy.env.workspace = cfg.BARRIERGDB
fillRasterFN = (PREFIX + "_BarrrierCircles" + sumSuffix + "_Rad" +
str(outerRadius))
arcpy.CopyRaster_management(fillRaster, fillRasterFN)
if cfg.WRITE_PCT_RASTERS:
fillRasterPctFN = (PREFIX + "_BarrrierCircles_Pct" + sumSuffix +
"_Rad" + str(outerRadius))
arcpy.CopyRaster_management(fillRasterPct, fillRasterPctFN)
if not cfg.SUM_BARRIERS and cfg.WRITE_TRIM_RASTERS:
# Create pared-down version of filled raster- remove pixels
# that don't need restoring by allowing a pixel to only
# contribute its resistance value to restoration gain
outRasterFN = "barriers_trm" + str(outerRadius) + tif
outRaster = path.join(cfg.BARRIERBASEDIR,outRasterFN)
rasterList = [fillRaster, resistFillRaster]
outCellStatistics = arcpy.sa.CellStatistics(rasterList,
"MINIMUM")
outCellStatistics.save(outRaster)
#SECOND ROUND TO CLIP BY DATA VALUES IN BARRIER RASTER
outRaster2FN = ("barriers_trm" + sumSuffix + str(outerRadius)
+ "_2" + tif)
outRaster2 = path.join(cfg.BARRIERBASEDIR,outRaster2FN)
output = arcpy.sa.Con(IsNull(fillRaster),fillRaster,outRaster)
output.save(outRaster2)
outRasterFN = (PREFIX + "_BarrierCircles_RBMin" + sumSuffix +
"_Rad" + str(outerRadius))
outRasterPath= path.join(cfg.BARRIERGDB, outRasterFN)
arcpy.CopyRaster_management(outRaster2, outRasterFN)
randomerror()
startTime=lu.elapsed_time(startTime)
# Call the above function
doRadiusLoop()
# Combine rasters across radii
gprint('\nCreating summary rasters...')
if startRadius != endRadius:
radiiSuffix = ('_Rad' + str(int(startRadius)) + 'To' + str(int(
endRadius)) + 'Step' + str(int(radiusStep)))
mosaicFN = "bar_radii"
mosaicPctFN = "bar_radii_pct"
arcpy.env.workspace = cfg.BARRIERBASEDIR
for radius in range (startRadius, endRadius + 1, radiusStep):
#Fixme: run speed test with gdb mosaicking above and here
radiusFN = (PREFIX + "_BarrierCenters" + sumSuffix + "_Rad"
+ str(radius))
radiusRaster = path.join(cfg.BARRIERGDB, radiusFN)
if radius == startRadius:
#If this is the first grid then copy rather than mosaic
arcpy.CopyRaster_management(radiusRaster, mosaicFN)
else:
mosaicRaster = path.join(cfg.BARRIERBASEDIR,mosaicFN)
arcpy.Mosaic_management(radiusRaster, mosaicRaster,
"MAXIMUM", "MATCH")
if cfg.WRITE_PCT_RASTERS:
radiusPctFN = (PREFIX + "_BarrierCenters_Pct" + sumSuffix +
"_Rad" + str(radius))
radiusRasterPct = path.join(cfg.BARRIERGDB, radiusPctFN)
if radius == startRadius:
#If this is the first grid then copy rather than mosaic
arcpy.CopyRaster_management(radiusRasterPct,
mosaicPctFN)
else:
mosaicRasterPct = path.join(cfg.BARRIERBASEDIR,
mosaicPctFN)
arcpy.Mosaic_management(radiusRasterPct,
mosaicRasterPct,
"MAXIMUM", "MATCH")
# Copy results to output geodatabase
arcpy.env.workspace = cfg.BARRIERGDB
mosaicFN = PREFIX + "_BarrierCenters" + sumSuffix + radiiSuffix
arcpy.CopyRaster_management(mosaicRaster, mosaicFN)
if cfg.WRITE_PCT_RASTERS:
mosaicPctFN = (PREFIX + "_BarrierCenters_Pct" + sumSuffix +
radiiSuffix)
arcpy.CopyRaster_management(mosaicRasterPct, mosaicPctFN)
#GROWN OUT rasters
fillMosaicFN = "barriers_radii_fill" + tif
fillMosaicPctFN = "barriers_radii_fill_pct" + tif
fillMosaicRaster = path.join(cfg.BARRIERBASEDIR,fillMosaicFN)
fillMosaicRasterPct = path.join(cfg.BARRIERBASEDIR,fillMosaicPctFN)
arcpy.env.workspace = cfg.BARRIERBASEDIR
for radius in range (startRadius, endRadius + 1, radiusStep):
radiusFN = "barriers_fill" + str(radius) + tif
#fixme- do this when only a single radius too
radiusRaster = path.join(cfg.BARRIERBASEDIR, radiusFN)
if radius == startRadius:
#If this is the first grid then copy rather than mosaic
arcpy.CopyRaster_management(radiusRaster, fillMosaicFN)
else:
arcpy.Mosaic_management(radiusRaster, fillMosaicRaster,
"MAXIMUM", "MATCH")
if cfg.WRITE_PCT_RASTERS:
radiusPctFN = "barriers_fill_pct" + str(radius) + tif
#fixme- do this when only a single radius too
radiusRasterPct = path.join(cfg.BARRIERBASEDIR,
radiusPctFN)
if radius == startRadius:
#If this is the first grid then copy rather than mosaic
arcpy.CopyRaster_management(radiusRasterPct,
fillMosaicPctFN)
else:
arcpy.Mosaic_management(radiusRasterPct,
fillMosaicRasterPct,
"MAXIMUM", "MATCH")
# Copy result to output geodatabase
arcpy.env.workspace = cfg.BARRIERGDB
fillMosaicFN = PREFIX + "_BarrierCircles" + sumSuffix + radiiSuffix
arcpy.CopyRaster_management(fillMosaicRaster, fillMosaicFN)
if cfg.WRITE_PCT_RASTERS:
fillMosaicPctFN = (PREFIX + "_BarrierCircles_Pct" + sumSuffix
+ radiiSuffix)
arcpy.CopyRaster_management(fillMosaicRasterPct,
fillMosaicPctFN)
# if not cfg.SUM_BARRIERS:
#GROWN OUT AND TRIMMED rasters (Can't do percent)
if cfg.WRITE_TRIM_RASTERS:
trimMosaicFN = "bar_radii_trm"
arcpy.env.workspace = cfg.BARRIERBASEDIR
trimMosaicRaster = path.join(cfg.BARRIERBASEDIR,trimMosaicFN)
for radius in range (startRadius, endRadius + 1, radiusStep):
radiusFN = (PREFIX + "_BarrierCircles_RBMin" + sumSuffix
+ "_Rad" + str(radius))
#fixme- do this when only a single radius too
radiusRaster = path.join(cfg.BARRIERGDB, radiusFN)
if radius == startRadius:
#If this is the first grid then copy rather than mosaic
arcpy.CopyRaster_management(radiusRaster, trimMosaicFN)
else:
arcpy.Mosaic_management(radiusRaster, trimMosaicRaster,
"MAXIMUM", "MATCH")
# Copy result to output geodatabase
arcpy.env.workspace = cfg.BARRIERGDB
trimMosaicFN = (PREFIX + "_BarrierCircles_RBMin" + sumSuffix
+ radiiSuffix)
arcpy.CopyRaster_management(trimMosaicRaster, trimMosaicFN)
if not cfg.SAVE_RADIUS_RASTERS:
arcpy.env.workspace = cfg.BARRIERGDB
rasters = arcpy.ListRasters()
for raster in rasters:
if 'rad' in raster.lower() and not 'step' in raster.lower():
lu.delete_data(raster)
arcpy.env.workspace = cfg.BARRIERGDB
rasters = arcpy.ListRasters()
for raster in rasters:
gprint('\nBuilding output statistics and pyramids\n'
'for raster ' + raster)
lu.build_stats(raster)
#Clean up temporary files and directories
if not cfg.SAVEBARRIERRASTERS:
lu.delete_dir(cbarrierdir)
lu.delete_dir(cfg.BARRIERBASEDIR)
if not cfg.SAVEFOCALRASTERS:
for radius in range(startRadius, endRadius + 1, radiusStep):
core1path = lu.get_focal_path(1,radius)
path1, dir1 = path.split(core1path)
path2, dir2 = path.split(path1)
lu.delete_dir(path2)
# Return GEOPROCESSING specific errors
except arcpy.ExecuteError:
lu.dashline(1)
gprint('****Failed in step 6. Details follow.****')
lu.exit_with_geoproc_error(_SCRIPT_NAME)
# Return any PYTHON or system specific errors
except:
lu.dashline(1)
gprint('****Failed in step 6. Details follow.****')
lu.exit_with_python_error(_SCRIPT_NAME)
return
def STEP8_calc_pinchpoints():
""" Maps pinch points in Linkage Mapper corridors using Circuitscape
given CWD calculations from s3_calcCwds.py.
"""
try:
lu.dashline(0)
gprint('Running script ' + _SCRIPT_NAME)
restartFlag = False
if cfg.CWDCUTOFF < 0:
cfg.CWDCUTOFF = cfg.CWDCUTOFF * -1
restartFlag = True # Restart code in progress
CSPATH = lu.get_cs_path()
outputGDB = path.join(cfg.OUTPUTDIR, path.basename(cfg.PINCHGDB))
arcpy.OverWriteOutput = True
arcpy.env.workspace = cfg.SCRATCHDIR
arcpy.env.scratchWorkspace = cfg.ARCSCRATCHDIR
arcpy.env.pyramid = "NONE"
arcpy.env.rasterstatistics = "NONE"
# set the analysis extent and cell size to that of the resistance
# surface
arcpy.env.extent = cfg.RESRAST
arcpy.env.cellSize = cfg.RESRAST
arcpy.snapraster = cfg.RESRAST
resRaster = cfg.RESRAST
arcpy.env.extent = "MINOF"
minObject = arcpy.GetRasterProperties_management(resRaster, "MINIMUM")
rasterMin = float(str(minObject.getOutput(0)))
if rasterMin <= 0:
msg = (
'Error: resistance raster cannot have 0 or negative values.')
lu.raise_error(msg)
if cfg.DO_ADJACENTPAIRS:
prevLcpShapefile = lu.get_lcp_shapefile(None, thisStep=8)
if not arcpy.Exists(prevLcpShapefile):
msg = ('Cannot find an LCP shapefile from step 5. Please '
'rerun that step and any previous ones if necessary.')
lu.raise_error(msg)
# Remove lcp shapefile
lcpShapefile = path.join(cfg.DATAPASSDIR, "lcpLines_s8.shp")
lu.delete_data(lcpShapefile)
inLinkTableFile = lu.get_prev_step_link_table(step=8)
linkTable = lu.load_link_table(inLinkTableFile)
numLinks = linkTable.shape[0]
numCorridorLinks = lu.report_links(linkTable)
if numCorridorLinks == 0:
lu.dashline(1)
msg = ('\nThere are no linkages. Bailing.')
lu.raise_error(msg)
if linkTable.shape[1] < 16: # If linktable has no entries from prior
# centrality or pinchpint analyses
extraCols = npy.zeros((numLinks, 6), dtype="float64")
linkTable = linkTable[:, 0:10]
linkTable = npy.append(linkTable, extraCols, axis=1)
linkTable[:, cfg.LTB_LCPLEN] = -1
linkTable[:, cfg.LTB_CWDEUCR] = -1
linkTable[:, cfg.LTB_CWDPATHR] = -1
linkTable[:, cfg.LTB_EFFRESIST] = -1
linkTable[:, cfg.LTB_CWDTORR] = -1
linkTable[:, cfg.LTB_CURRENT] = -1
del extraCols
# set up directories for circuit and circuit mosaic grids
# Create output geodatabase
if not arcpy.Exists(cfg.PINCHGDB):
arcpy.CreateFileGDB_management(cfg.OUTPUTDIR,
path.basename(cfg.PINCHGDB))
mosaicRaster = path.join(cfg.CIRCUITBASEDIR, "current_mos" + tif)
coresToProcess = npy.unique(linkTable[:,
cfg.LTB_CORE1:cfg.LTB_CORE2 + 1])
maxCoreNum = max(coresToProcess)
del coresToProcess
lu.dashline(0)
coreList = linkTable[:, cfg.LTB_CORE1:cfg.LTB_CORE2 + 1]
coreList = npy.sort(coreList)
#gprint('There are ' + str(len(npy.unique(coreList))) ' core areas.')
INCIRCUITDIR = cfg.CIRCUITBASEDIR
OUTCIRCUITDIR = path.join(cfg.CIRCUITBASEDIR, cfg.CIRCUITOUTPUTDIR_NM)
CONFIGDIR = path.join(INCIRCUITDIR, cfg.CIRCUITCONFIGDIR_NM)
# Cutoff value text to append to filenames
cutoffText = str(cfg.CWDCUTOFF)
if cutoffText[-6:] == '000000':
cutoffText = cutoffText[0:-6] + 'm'
elif cutoffText[-3:] == '000':
cutoffText = cutoffText[0:-3] + 'k'
if cfg.SQUARERESISTANCES:
# Square resistance values
squaredRaster = path.join(cfg.SCRATCHDIR, 'res_sqr')
arcpy.env.workspace = cfg.SCRATCHDIR
arcpy.env.scratchWorkspace = cfg.ARCSCRATCHDIR
outRas = Raster(resRaster) * Raster(resRaster)
outRas.save(squaredRaster)
resRaster = squaredRaster
if cfg.DO_ADJACENTPAIRS:
linkLoop = 0
lu.dashline(1)
gprint('Mapping pinch points in individual corridors \n'
'using Circuitscape.')
lu.dashline(1)
gprint('If you try to cancel your run and the Arc dialog hangs, ')
gprint('you can kill Circuitscape by opening Windows Task Manager')
gprint('and ending the cs_run.exe process.')
lu.dashline(2)
for x in range(0, numLinks):
linkId = str(int(linkTable[x, cfg.LTB_LINKID]))
if not (linkTable[x, cfg.LTB_LINKTYPE] > 0):
continue
linkLoop = linkLoop + 1
linkDir = path.join(cfg.SCRATCHDIR, 'link' + linkId)
if restartFlag == True and path.exists(linkDir):
gprint('continuing')
continue
restartFlag = False
lu.create_dir(linkDir)
start_time1 = time.clock()
# source and target cores
corex = int(coreList[x, 0])
corey = int(coreList[x, 1])
# Get cwd rasters for source and target cores
cwdRaster1 = lu.get_cwd_path(corex)
cwdRaster2 = lu.get_cwd_path(corey)
lccNormRaster = path.join(linkDir, 'lcc_norm')
arcpy.env.extent = "MINOF"
link = lu.get_links_from_core_pairs(linkTable, corex, corey)
lcDist = float(linkTable[link, cfg.LTB_CWDIST])
# Normalized lcc rasters are created by adding cwd rasters
# and subtracting the least cost distance between them.
outRas = Raster(cwdRaster1) + Raster(cwdRaster2) - lcDist
outRas.save(lccNormRaster)
#create raster mask
resMaskRaster = path.join(linkDir, 'res_mask' + tif)
#create raster mask
outCon = arcpy.sa.Con(
Raster(lccNormRaster) <= cfg.CWDCUTOFF, 1)
outCon.save(resMaskRaster)
# Convert to poly. Use as mask to clip resistance raster.
resMaskPoly = path.join(linkDir, 'res_mask_poly.shp')
arcpy.RasterToPolygon_conversion(resMaskRaster, resMaskPoly,
"NO_SIMPLIFY")
arcpy.env.extent = resMaskPoly
# Includes 0 values in some cases with CP LI model if tif
# so using ESRI Grid format
resClipRasterMasked = path.join(linkDir, 'res_clip_m')
# Extract masked resistance raster.
# Needs to be float to get export to npy to work.
outRas = arcpy.sa.ExtractByMask(resRaster, resMaskPoly) + 0.0
outRas.save(resClipRasterMasked)
resNpyFN = 'resistances_link_' + linkId + '.npy'
resNpyFile = path.join(INCIRCUITDIR, resNpyFN)
numElements, numResistanceNodes = export_ras_to_npy(
resClipRasterMasked, resNpyFile)
totMem, availMem = lu.get_mem()
# gprint('Total memory: str(totMem))
if numResistanceNodes / availMem > 2000000:
lu.dashline(1)
lu.warn('Warning:')
lu.warn('Circuitscape can only solve 2-3 million nodes')
lu.warn(
'per gigabyte of available RAM. \nTotal physical RAM'
' on your machine is ~' + str(totMem) +
' GB. \nAvailable memory is ~' + str(availMem) +
' GB. \nYour resistance raster has ' +
str(numResistanceNodes) + ' nodes.')
lu.dashline(2)
corePairRaster = path.join(linkDir, 'core_pairs' + tif)
arcpy.env.extent = resClipRasterMasked
# Next result needs to be floating pt for numpy export
outCon = arcpy.sa.Con(
Raster(cwdRaster1) == 0, corex,
arcpy.sa.Con(Raster(cwdRaster2) == 0, corey + 0.0))
outCon.save(corePairRaster)
coreNpyFN = 'cores_link_' + linkId + '.npy'
coreNpyFile = path.join(INCIRCUITDIR, coreNpyFN)
numElements, numNodes = export_ras_to_npy(
corePairRaster, coreNpyFile)
arcpy.env.extent = "MINOF"
# Set circuitscape options and call
options = lu.setCircuitscapeOptions()
if cfg.WRITE_VOLT_MAPS == True:
options['write_volt_maps'] = True
options['habitat_file'] = resNpyFile
# if int(linkId) > 2:
# options['habitat_file'] = 'c:\\test.dummy'
options['point_file'] = coreNpyFile
options['set_focal_node_currents_to_zero'] = True
outputFN = 'Circuitscape_link' + linkId + '.out'
options['output_file'] = path.join(OUTCIRCUITDIR, outputFN)
if numElements > 250000:
options['print_timings'] = True
configFN = 'pinchpoint_config' + linkId + '.ini'
outConfigFile = path.join(CONFIGDIR, configFN)
lu.writeCircuitscapeConfigFile(outConfigFile, options)
gprint('Processing link ID #' + str(linkId) +
'. Resistance map'
' has ' + str(int(numResistanceNodes)) + ' nodes.')
memFlag = call_circuitscape(CSPATH, outConfigFile)
currentFN = ('Circuitscape_link' + linkId + '_cum_curmap.npy')
currentMap = path.join(OUTCIRCUITDIR, currentFN)
if not arcpy.Exists(currentMap):
print_failure(numResistanceNodes, memFlag, 10)
numElements, numNodes = export_ras_to_npy(
resClipRasterMasked, resNpyFile)
memFlag = call_circuitscape(CSPATH, outConfigFile)
currentFN = ('Circuitscape_link' + linkId +
'_cum_curmap.npy')
currentMap = path.join(OUTCIRCUITDIR, currentFN)
if not arcpy.Exists(currentMap):
msg = (
'\nCircuitscape failed. See error information above.')
arcpy.AddError(msg)
lu.write_log(msg)
exit(1)
# Either set core areas to nodata in current map or
# divide each by its radius
currentRaster = path.join(linkDir, "current" + tif)
import_npy_to_ras(currentMap, corePairRaster, currentRaster)
if cfg.WRITE_VOLT_MAPS == True:
voltFN = ('Circuitscape_link' + linkId + '_voltmap_' +
str(corex) + '_' + str(corey) + '.npy')
voltMap = path.join(OUTCIRCUITDIR, voltFN)
voltRaster = path.join(
outputGDB, cfg.PREFIX + "_voltMap_" + str(corex) +
'_' + str(corey))
import_npy_to_ras(voltMap, corePairRaster, voltRaster)
gprint('Building output statistics and pyramids '
'for voltage raster\n')
lu.build_stats(voltRaster)
arcpy.env.extent = currentRaster
if SETCORESTONULL:
# Set core areas to NoData in current map for color ramping
currentRaster2 = currentRaster + '2' + tif
outCon = arcpy.sa.Con(
arcpy.sa.IsNull(Raster(corePairRaster)),
Raster(currentRaster))
outCon.save(currentRaster2)
currentRaster = currentRaster2
arcpy.env.extent = "MAXOF"
if linkLoop == 1:
lu.delete_data(mosaicRaster)
@retry(10)
def copyRas2():
arcpy.CopyRaster_management(currentRaster,
mosaicRaster)
copyRas2()
else:
@retry(10)
def mosaicRas():
arcpy.Mosaic_management(currentRaster, mosaicRaster,
"MAXIMUM", "MATCH")
mosaicRas()
resistancesFN = ('Circuitscape_link' + linkId +
'_resistances_3columns.out')
resistancesFile = path.join(OUTCIRCUITDIR, resistancesFN)
resistances = npy.loadtxt(resistancesFile,
dtype='Float64',
comments='#')
resistance = float(str(arcpy.env.cellSize)) * resistances[2]
linkTable[link, cfg.LTB_EFFRESIST] = resistance
# Ratio
if not cfg.SQUARERESISTANCES:
linkTable[link, cfg.LTB_CWDTORR] = (
linkTable[link, cfg.LTB_CWDIST] /
linkTable[link, cfg.LTB_EFFRESIST])
# Clean up
if cfg.SAVE_TEMP_CIRCUIT_FILES == False:
lu.delete_file(coreNpyFile)
coreNpyBase, extension = path.splitext(coreNpyFile)
lu.delete_data(coreNpyBase + '.hdr')
lu.delete_file(resNpyFile)
resNpyBase, extension = path.splitext(resNpyFile)
lu.delete_data(resNpyBase + '.hdr')
lu.delete_file(currentMap)
curMapBase, extension = path.splitext(currentMap)
lu.delete_data(curMapBase + '.hdr')
lu.delete_data(currentRaster)
lu.clean_out_workspace(linkDir)
lu.delete_dir(linkDir)
gprint('Finished with link ID #' + str(linkId) + '. ' +
str(linkLoop) + ' out of ' + str(numCorridorLinks) +
' links have been processed.')
start_time1 = lu.elapsed_time(start_time1)
outputRaster = path.join(
outputGDB, cfg.PREFIX + "_current_adjacentPairs_" + cutoffText)
lu.delete_data(outputRaster)
@retry(10)
def copyRas():
arcpy.CopyRaster_management(mosaicRaster, outputRaster)
copyRas()
gprint('Building output statistics and pyramids '
'for corridor pinch point raster\n')
lu.build_stats(outputRaster)
finalLinkTable = lu.update_lcp_shapefile(linkTable,
lastStep=5,
thisStep=8)
linkTableFile = path.join(cfg.DATAPASSDIR, "linkTable_s5_plus.csv")
lu.write_link_table(finalLinkTable, linkTableFile, inLinkTableFile)
linkTableFinalFile = path.join(
cfg.OUTPUTDIR, cfg.PREFIX + "_linkTable_s5_plus.csv")
lu.write_link_table(finalLinkTable, linkTableFinalFile,
inLinkTableFile)
gprint('Copy of linkTable written to ' + linkTableFinalFile)
#fixme: update sticks?
gprint('Creating shapefiles with linework for links.')
lu.write_link_maps(linkTableFinalFile, step=8)
# Copy final link maps to gdb.
lu.copy_final_link_maps(step=8)
lu.delete_data(mosaicRaster)
if not cfg.DO_ALLPAIRS:
# Clean up temporary files
if not cfg.SAVECURRENTMAPS:
lu.delete_dir(OUTCIRCUITDIR)
return
lu.dashline(1)
gprint('Mapping global pinch points among all\n'
'core area pairs using Circuitscape.')
if cfg.ALL_PAIR_SCENARIO == 'pairwise':
gprint('Circuitscape will be run in PAIRWISE mode.')
else:
gprint('Circuitscape will be run in ALL-TO-ONE mode.')
arcpy.env.workspace = cfg.SCRATCHDIR
arcpy.env.scratchWorkspace = cfg.ARCSCRATCHDIR
arcpy.env.extent = cfg.RESRAST
arcpy.env.cellSize = cfg.RESRAST
S8CORE_RAS = "s8core_ras"
s8CoreRasPath = path.join(cfg.SCRATCHDIR, S8CORE_RAS)
arcpy.FeatureToRaster_conversion(cfg.COREFC, cfg.COREFN, s8CoreRasPath,
arcpy.env.cellSize)
binaryCoreRaster = path.join(cfg.SCRATCHDIR, "core_ras_bin")
# The following commands cause file lock problems on save. using gp
# instead.
# outCon = arcpy.sa.Con(S8CORE_RAS, 1, "#", "VALUE > 0")
# outCon.save(binaryCoreRaster)
# gp.Con_sa(s8CoreRasPath, 1, binaryCoreRaster, "#", "VALUE > 0")
outCon = arcpy.sa.Con(Raster(s8CoreRasPath) > 0, 1)
outCon.save(binaryCoreRaster)
s5corridorRas = path.join(cfg.OUTPUTGDB, cfg.PREFIX + "_corridors")
if not arcpy.Exists(s5corridorRas):
s5corridorRas = path.join(cfg.OUTPUTGDB,
cfg.PREFIX + "_lcc_mosaic_int")
outCon = arcpy.sa.Con(
Raster(s5corridorRas) <= cfg.CWDCUTOFF, Raster(resRaster),
arcpy.sa.Con(Raster(binaryCoreRaster) > 0, Raster(resRaster)))
resRasClipPath = path.join(cfg.SCRATCHDIR, 'res_ras_clip')
outCon.save(resRasClipPath)
arcpy.env.cellSize = resRasClipPath
arcpy.env.extent = resRasClipPath
s8CoreRasClipped = s8CoreRasPath + '_c'
# Produce core raster with same extent as clipped resistance raster
# added to ensure correct data type- nodata values were positive for
# cores otherwise
outCon = arcpy.sa.Con(arcpy.sa.IsNull(Raster(s8CoreRasPath)), -9999,
Raster(s8CoreRasPath))
outCon.save(s8CoreRasClipped)
resNpyFN = 'resistances.npy'
resNpyFile = path.join(INCIRCUITDIR, resNpyFN)
numElements, numResistanceNodes = export_ras_to_npy(
resRasClipPath, resNpyFile)
totMem, availMem = lu.get_mem()
# gprint('Total memory: str(totMem))
if numResistanceNodes / availMem > 2000000:
lu.dashline(1)
lu.warn('Warning:')
lu.warn('Circuitscape can only solve 2-3 million nodes')
lu.warn('per gigabyte of available RAM. \nTotal physical RAM '
'on your machine is ~' + str(totMem) +
' GB. \nAvailable memory is ~' + str(availMem) +
' GB. \nYour resistance raster has ' +
str(numResistanceNodes) + ' nodes.')
lu.dashline(0)
coreNpyFN = 'cores.npy'
coreNpyFile = path.join(INCIRCUITDIR, coreNpyFN)
numElements, numNodes = export_ras_to_npy(s8CoreRasClipped,
coreNpyFile)
arcpy.env.extent = "MINOF"
options = lu.setCircuitscapeOptions()
options['scenario'] = cfg.ALL_PAIR_SCENARIO
options['habitat_file'] = resNpyFile
options['point_file'] = coreNpyFile
options['set_focal_node_currents_to_zero'] = True
outputFN = 'Circuitscape.out'
options['output_file'] = path.join(OUTCIRCUITDIR, outputFN)
options['print_timings'] = True
configFN = 'pinchpoint_allpair_config.ini'
outConfigFile = path.join(CONFIGDIR, configFN)
lu.writeCircuitscapeConfigFile(outConfigFile, options)
gprint('\nResistance map has ' + str(int(numResistanceNodes)) +
' nodes.')
lu.dashline(1)
gprint('If you try to cancel your run and the Arc dialog hangs, ')
gprint('you can kill Circuitscape by opening Windows Task Manager')
gprint('and ending the cs_run.exe process.')
lu.dashline(0)
call_circuitscape(CSPATH, outConfigFile)
# test = subprocess.call([CSPATH, outConfigFile],
# creationflags = subprocess.CREATE_NEW_CONSOLE)
if options['scenario'] == 'pairwise':
rasterSuffix = "_current_allPairs_" + cutoffText
else:
rasterSuffix = "_current_allToOne_" + cutoffText
currentFN = 'Circuitscape_cum_curmap.npy'
currentMap = path.join(OUTCIRCUITDIR, currentFN)
outputRaster = path.join(outputGDB, cfg.PREFIX + rasterSuffix)
currentRaster = path.join(cfg.SCRATCHDIR, "current")
try:
import_npy_to_ras(currentMap, resRasClipPath, outputRaster)
except:
lu.dashline(1)
msg = ('ERROR: Circuitscape failed. \n'
'Note: Circuitscape can only solve 2-3 million nodes'
'\nper gigabyte of available RAM. The resistance '
'\nraster for the last corridor had ' +
str(numResistanceNodes) + ' nodes.\n\nResistance '
'raster values that vary by >6 orders of \nmagnitude'
' can also cause failures, as can a mismatch in '
'\ncore area and resistance raster extents.')
arcpy.AddError(msg)
lu.write_log(msg)
exit(1)
#set core areas to nodata
if SETCORESTONULL:
# Set core areas to NoData in current map for color ramping
outputRasterND = outputRaster + '_noDataCores'
outCon = arcpy.sa.SetNull(
Raster(s8CoreRasClipped) > 0, Raster(outputRaster))
outCon.save(outputRasterND)
gprint('\nBuilding output statistics and pyramids '
'for centrality raster.')
lu.build_stats(outputRaster)
lu.build_stats(outputRasterND)
# Clean up temporary files
if not cfg.SAVECURRENTMAPS:
lu.delete_dir(OUTCIRCUITDIR)
# Return GEOPROCESSING specific errors
except arcpy.ExecuteError:
lu.dashline(1)
gprint('****Failed in step 8. Details follow.****')
lu.exit_with_geoproc_error(_SCRIPT_NAME)
# Return any PYTHON or system specific errors
except:
lu.dashline(1)
gprint('****Failed in step 8. Details follow.****')
lu.exit_with_python_error(_SCRIPT_NAME)
def calc_lccs(normalize):
try:
if normalize:
mosaicBaseName = "_corridors"
writeTruncRaster = cfg.WRITETRUNCRASTER
outputGDB = cfg.OUTPUTGDB
if cfg.CALCNONNORMLCCS:
SAVENORMLCCS = False
else:
SAVENORMLCCS = cfg.SAVENORMLCCS
else:
mosaicBaseName = "_NON_NORMALIZED_corridors"
SAVENORMLCCS = False
outputGDB = cfg.EXTRAGDB
writeTruncRaster = False
lu.dashline(1)
gprint('Running script ' + _SCRIPT_NAME)
linkTableFile = lu.get_prev_step_link_table(step=5)
if cfg.useArcpy:
arcpy.env.workspace = cfg.SCRATCHDIR
arcpy.env.scratchWorkspace = cfg.ARCSCRATCHDIR
arcpy.env.overwriteOutput = True
arcpy.env.compression = "NONE"
else:
gp.workspace = cfg.SCRATCHDIR
gp.scratchWorkspace = cfg.ARCSCRATCHDIR
gp.OverwriteOutput = True
if cfg.MAXEUCDIST is not None:
gprint('Max Euclidean distance between cores')
gprint('for linkage mapping set to ' +
str(cfg.MAXEUCDIST))
if cfg.MAXCOSTDIST is not None:
gprint('Max cost-weighted distance between cores')
gprint('for linkage mapping set to ' +
str(cfg.MAXCOSTDIST))
# set the analysis extent and cell size to that of the resistance
# surface
if cfg.useArcpy:
arcpy.env.Extent = cfg.RESRAST
arcpy.env.cellSize = cfg.RESRAST
arcpy.env.snapRaster = cfg.RESRAST
arcpy.env.mask = cfg.RESRAST
else:
gp.Extent = (gp.Describe(cfg.RESRAST)).Extent
gp.cellSize = gp.Describe(cfg.RESRAST).MeanCellHeight
gp.mask = cfg.RESRAST
gp.snapraster = cfg.RESRAST
linkTable = lu.load_link_table(linkTableFile)
numLinks = linkTable.shape[0]
numCorridorLinks = lu.report_links(linkTable)
if numCorridorLinks == 0:
lu.dashline(1)
msg =('\nThere are no corridors to map. Bailing.')
lu.raise_error(msg)
if not cfg.STEP3 and not cfg.STEP4:
# re-check for links that are too long or in case script run out of
# sequence with more stringent settings
gprint('Double-checking for corridors that are too long to map.')
DISABLE_LEAST_COST_NO_VAL = True
linkTable,numDroppedLinks = lu.drop_links(
linkTable, cfg.MAXEUCDIST, cfg.MINEUCDIST, cfg.MAXCOSTDIST,
cfg.MINCOSTDIST, DISABLE_LEAST_COST_NO_VAL)
# Added to try to speed up:
gp.pyramid = "NONE"
gp.rasterstatistics = "NONE"
# set up directories for normalized lcc and mosaic grids
dirCount = 0
gprint("Creating output folder: " + cfg.LCCBASEDIR)
lu.delete_dir(cfg.LCCBASEDIR)
gp.CreateFolder_management(path.dirname(cfg.LCCBASEDIR),
path.basename(cfg.LCCBASEDIR))
gp.CreateFolder_management(cfg.LCCBASEDIR, cfg.LCCNLCDIR_NM)
clccdir = path.join(cfg.LCCBASEDIR, cfg.LCCNLCDIR_NM)
# mosaicGDB = path.join(cfg.LCCBASEDIR, "mosaic.gdb")
# gp.createfilegdb(cfg.LCCBASEDIR, "mosaic.gdb")
#mosaicRaster = mosaicGDB + '\\' + "nlcc_mos" # Full path
gprint("")
if normalize:
gprint('Normalized least-cost corridors will be written '
'to ' + clccdir + '\n')
PREFIX = cfg.PREFIX
# Add CWD layers for core area pairs to produce NORMALIZED LCC layers
numGridsWritten = 0
coreList = linkTable[:,cfg.LTB_CORE1:cfg.LTB_CORE2+1]
coreList = npy.sort(coreList)
x = 0
linkCount = 0
endIndex = numLinks
while x < endIndex:
if (linkTable[x, cfg.LTB_LINKTYPE] < 1): # If not a valid link
x = x + 1
continue
linkCount = linkCount + 1
start_time = time.clock()
linkId = str(int(linkTable[x, cfg.LTB_LINKID]))
# source and target cores
corex=int(coreList[x,0])
corey=int(coreList[x,1])
# Get cwd rasters for source and target cores
cwdRaster1 = lu.get_cwd_path(corex)
cwdRaster2 = lu.get_cwd_path(corey)
if not gp.Exists(cwdRaster1):
msg =('\nError: cannot find cwd raster:\n' + cwdRaster1)
if not gp.Exists(cwdRaster2):
msg =('\nError: cannot find cwd raster:\n' + cwdRaster2)
lu.raise_error(msg)
lccNormRaster = path.join(clccdir, str(corex) + "_" +
str(corey))# + ".tif")
if cfg.useArcpy:
arcpy.env.Extent = "MINOF"
else:
gp.Extent = "MINOF"
# FIXME: need to check for this?:
# if exists already, don't re-create
#if not gp.Exists(lccRaster):
link = lu.get_links_from_core_pairs(linkTable, corex, corey)
offset = 10000
# Normalized lcc rasters are created by adding cwd rasters and
# subtracting the least cost distance between them.
count = 0
if arcpyAvailable:
cfg.useArcpy = True # Fixes Canran Liu's bug with lcDist
if cfg.useArcpy:
lcDist = (float(linkTable[link,cfg.LTB_CWDIST]) - offset)
if normalize:
statement = ('outras = Raster(cwdRaster1) + Raster('
'cwdRaster2) - lcDist; outras.save(lccNormRaster)')
else:
statement = ('outras =Raster(cwdRaster1) + Raster('
'cwdRaster2); outras.save(lccNormRaster)')
else:
if normalize:
lcDist = str(linkTable[link,cfg.LTB_CWDIST] - offset)
expression = (cwdRaster1 + " + " + cwdRaster2 + " - "
+ lcDist)
else:
expression = (cwdRaster1 + " + " + cwdRaster2)
statement = ('gp.SingleOutputMapAlgebra_sa(expression, '
'lccNormRaster)')
count = 0
while True:
try:
exec statement
randomerror()
except:
count,tryAgain = lu.retry_arc_error(count,statement)
if not tryAgain:
exec statement
else: break
cfg.useArcpy = False # End fix for Conran Liu's bug with lcDist
if normalize and cfg.useArcpy:
try:
minObject = gp.GetRasterProperties(lccNormRaster, "MINIMUM")
rasterMin = float(str(minObject.getoutput(0)))
except:
gp.AddWarning('\n------------------------------------------------')
gp.AddWarning('WARNING: Raster minimum check failed in step 5. \n'
'This may mean the output rasters are corrupted. Please \n'
'be sure to check for valid rasters in '+ outputGDB)
rasterMin = 0
tolerance = (float(gp.cellSize) * -10) + offset
if rasterMin < tolerance:
lu.dashline(1)
msg = ('WARNING: Minimum value of a corridor #' + str(x+1)
+ ' is much less than zero ('+str(rasterMin)+').'
'\nThis could mean that BOUNDING CIRCLE BUFFER DISTANCES '
'were too small and a corridor passed outside of a '
'bounding circle, or that a corridor passed outside of the '
'resistance map. \n')
gp.AddWarning(msg)
if cfg.useArcpy:
arcpy.env.Extent = cfg.RESRAST
else:
gp.Extent = (gp.Describe(cfg.RESRAST)).Extent
mosaicDir = path.join(cfg.LCCBASEDIR,'mos'+str(x+1))
lu.create_dir(mosaicDir)
mosFN = 'mos'#.tif' change and move
mosaicRaster = path.join(mosaicDir,mosFN)
if numGridsWritten == 0 and dirCount == 0:
#If this is the first grid then copy rather than mosaic
arcObj.CopyRaster_management(lccNormRaster, mosaicRaster)
else:
rasterString = '"'+lccNormRaster+";"+lastMosaicRaster+'"'
statement = ('arcObj.MosaicToNewRaster_management('
'rasterString,mosaicDir,mosFN, "", '
'"32_BIT_FLOAT", gp.cellSize, "1", "MINIMUM", '
'"MATCH")')
# statement = ('arcpy.Mosaic_management(lccNormRaster, '
# 'mosaicRaster, "MINIMUM", "MATCH")')
count = 0
while True:
try:
lu.write_log('Executing mosaic for link #'+str(linkId))
exec statement
lu.write_log('Done with mosaic.')
randomerror()
except:
count,tryAgain = lu.retry_arc_error(count,statement)
lu.delete_data(mosaicRaster)
lu.delete_dir(mosaicDir)
# Try a new directory
mosaicDir = path.join(cfg.LCCBASEDIR,'mos'+str(x+1)+ '_' + str(count))
lu.create_dir(mosaicDir)
mosaicRaster = path.join(mosaicDir,mosFN)
if not tryAgain:
exec statement
else: break
endTime = time.clock()
processTime = round((endTime - start_time), 2)
if normalize == True:
printText = "Normalized and mosaicked "
else:
printText = "Mosaicked NON-normalized "
gprint(printText + "corridor for link ID #" + str(linkId) +
" connecting core areas " + str(corex) +
" and " + str(corey)+ " in " +
str(processTime) + " seconds. " + str(int(linkCount)) +
" out of " + str(int(numCorridorLinks)) + " links have been "
"processed.")
# temporarily disable links in linktable - don't want to mosaic
# them twice
for y in range (x+1,numLinks):
corex1 = int(coreList[y,0])
corey1 = int(coreList[y,1])
if corex1 == corex and corey1 == corey:
linkTable[y,cfg.LTB_LINKTYPE] = (
linkTable[y,cfg.LTB_LINKTYPE] + 1000)
elif corex1==corey and corey1==corex:
linkTable[y,cfg.LTB_LINKTYPE] = (
linkTable[y,cfg.LTB_LINKTYPE] + 1000)
numGridsWritten = numGridsWritten + 1
if not SAVENORMLCCS:
lu.delete_data(lccNormRaster)
lu.delete_dir(clccdir)
lu.create_dir(clccdir)
else:
if numGridsWritten == 100:
# We only write up to 100 grids to any one folder
# because otherwise Arc slows to a crawl
dirCount = dirCount + 1
numGridsWritten = 0
clccdir = path.join(cfg.LCCBASEDIR,
cfg.LCCNLCDIR_NM + str(dirCount))
gprint("Creating output folder: " + clccdir)
gp.CreateFolder_management(cfg.LCCBASEDIR,
path.basename(clccdir))
if numGridsWritten > 1 or dirCount > 0:
lu.delete_data(lastMosaicRaster)
lu.delete_dir(path.dirname(lastMosaicRaster))
lastMosaicRaster = mosaicRaster
x = x + 1
#rows that were temporarily disabled
rows = npy.where(linkTable[:,cfg.LTB_LINKTYPE]>1000)
linkTable[rows,cfg.LTB_LINKTYPE] = (
linkTable[rows,cfg.LTB_LINKTYPE] - 1000)
# ---------------------------------------------------------------------
# Create output geodatabase
if not gp.exists(outputGDB):
gp.createfilegdb(cfg.OUTPUTDIR, path.basename(outputGDB))
if cfg.useArcpy:
arcpy.env.workspace = outputGDB
else:
gp.workspace = outputGDB
gp.pyramid = "NONE"
gp.rasterstatistics = "NONE"
# Copy mosaic raster to output geodatabase
saveFloatRaster = False
if saveFloatRaster == True:
floatRaster = outputGDB + '\\' + PREFIX + mosaicBaseName + '_flt' # Full path
statement = 'arcObj.CopyRaster_management(mosaicRaster, floatRaster)'
try:
exec statement
except:
pass
# ---------------------------------------------------------------------
# convert mosaic raster to integer
intRaster = path.join(outputGDB,PREFIX + mosaicBaseName)
if cfg.useArcpy:
statement = ('outras = Int(Raster(mosaicRaster) - offset + 0.5); '
'outras.save(intRaster)')
else:
expression = "int(" + mosaicRaster + " - " + str(offset) + " + 0.5)"
statement = 'gp.SingleOutputMapAlgebra_sa(expression, intRaster)'
count = 0
while True:
try:
exec statement
randomerror()
except:
count,tryAgain = lu.retry_arc_error(count,statement)
if not tryAgain: exec statement
else: break
# ---------------------------------------------------------------------
if writeTruncRaster:
# -----------------------------------------------------------------
# Set anything beyond cfg.CWDTHRESH to NODATA.
if arcpyAvailable:
cfg.useArcpy = True # For Alissa Pump's error with 10.1
cutoffText = str(cfg.CWDTHRESH)
if cutoffText[-6:] == '000000':
cutoffText = cutoffText[0:-6]+'m'
elif cutoffText[-3:] == '000':
cutoffText = cutoffText[0:-3]+'k'
truncRaster = (outputGDB + '\\' + PREFIX + mosaicBaseName +
'_truncated_at_' + cutoffText)
count = 0
if cfg.useArcpy:
statement = ('outRas = Raster(intRaster) * '
'(Con(Raster(intRaster) <= cfg.CWDTHRESH,1)); '
'outRas.save(truncRaster)')
else:
expression = ("(" + intRaster + " * (con(" + intRaster + "<= "
+ str(cfg.CWDTHRESH) + ",1)))")
statement = ('gp.SingleOutputMapAlgebra_sa(expression, '
'truncRaster)')
count = 0
while True:
try:
exec statement
randomerror()
except:
count,tryAgain = lu.retry_arc_error(count,statement)
if not tryAgain: exec statement
else: break
cfg.useArcpy = False # End fix for Alissa Pump's error with 10.1
# ---------------------------------------------------------------------
# Check for unreasonably low minimum NLCC values
try:
mosaicGrid = path.join(cfg.LCCBASEDIR,'mos')
# Copy to grid to test
arcObj.CopyRaster_management(mosaicRaster, mosaicGrid)
minObject = gp.GetRasterProperties(mosaicGrid, "MINIMUM")
rasterMin = float(str(minObject.getoutput(0)))
except:
gp.AddWarning('\n------------------------------------------------')
gp.AddWarning('WARNING: Raster minimum check failed in step 5. \n'
'This may mean the output rasters are corrupted. Please \n'
'be sure to check for valid rasters in '+ outputGDB)
rasterMin = 0
tolerance = (float(gp.cellSize) * -10)
if rasterMin < tolerance:
lu.dashline(1)
msg = ('WARNING: Minimum value of mosaicked corridor map is '
'much less than zero ('+str(rasterMin)+').'
'\nThis could mean that BOUNDING CIRCLE BUFFER DISTANCES '
'were too small and a corridor passed outside of a '
'bounding circle, or that a corridor passed outside of the '
'resistance map. \n')
gp.AddWarning(msg)
gprint('\nWriting final LCP maps...')
if cfg.STEP4:
finalLinkTable = lu.update_lcp_shapefile(linkTable, lastStep=4,
thisStep=5)
elif cfg.STEP3:
finalLinkTable = lu.update_lcp_shapefile(linkTable, lastStep=3,
thisStep=5)
else:
# Don't know if step 4 was run, since this is started at step 5.
# Use presence of previous linktable files to figure this out.
# Linktable name includes step number.
prevLinkTableFile = lu.get_prev_step_link_table(step=5)
prevStepInd = len(prevLinkTableFile) - 5
lastStep = prevLinkTableFile[prevStepInd]
finalLinkTable = lu.update_lcp_shapefile(linkTable, lastStep,
thisStep=5)
outlinkTableFile = lu.get_this_step_link_table(step=5)
gprint('Updating ' + outlinkTableFile)
lu.write_link_table(linkTable, outlinkTableFile)
linkTableLogFile = path.join(cfg.LOGDIR, "linkTable_s5.csv")
lu.write_link_table(linkTable, linkTableLogFile)
linkTableFinalFile = path.join(cfg.OUTPUTDIR, PREFIX +
"_linkTable_s5.csv")
lu.write_link_table(finalLinkTable, linkTableFinalFile)
gprint('Copy of final linkTable written to '+
linkTableFinalFile)
gprint('Creating shapefiles with linework for links.')
try:
lu.write_link_maps(outlinkTableFile, step=5)
except:
lu.write_link_maps(outlinkTableFile, step=5)
# Create final linkmap files in output directory, and remove files from
# scratch.
lu.copy_final_link_maps(step=5)
if not SAVENORMLCCS:
lu.delete_dir(cfg.LCCBASEDIR)
# Build statistics for corridor rasters
gp.addmessage('\nBuilding output statistics and pyramids '
'for corridor raster')
lu.build_stats(intRaster)
if writeTruncRaster:
gp.addmessage('Building output statistics '
'for truncated corridor raster')
lu.build_stats(truncRaster)
# Return GEOPROCESSING specific errors
except arcgisscripting.ExecuteError:
lu.dashline(1)
gprint('****Failed in step 5. Details follow.****')
lu.exit_with_geoproc_error(_SCRIPT_NAME)
# Return any PYTHON or system specific errors
except:
lu.dashline(1)
gprint('****Failed in step 5. Details follow.****')
lu.exit_with_python_error(_SCRIPT_NAME)
return
def calc_cav(core_lyr):
"""Calculate Core Area Value (CAV) and its components for each core."""
lm_util.gprint("Calculating Core Area Value (CAV) and its components for "
"each core")
chk_cav_wts()
# Check/add fields
for field in ("mean_res", "norm_res", "area", "norm_size", "perimeter",
"ap_ratio", "norm_ratio", "cav", "norm_cav", "cclim_env",
"fclim_env", "ocav", "nocav"):
check_add_field(lm_env.COREFC, field, "DOUBLE")
if not check_add_field(lm_env.COREFC, "ecav", "DOUBLE"):
if lm_env.ECAVWEIGHT > 0:
lm_util.gprint("Warning: ECAVWEIGHT > 0 but no ecav field in "
"Cores feature class")
arcpy.CalculateField_management(lm_env.COREFC, "ecav", "0",
"PYTHON_9.3")
check_add_field(lm_env.COREFC, "necav", "DOUBLE")
# Current flow centrality (CFC, CF_Central) is copied from
# Centrality Mapper
if not check_add_field(lm_env.COREFC, "CF_Central", "DOUBLE"):
# Default to 0s
arcpy.CalculateField_management(lm_env.COREFC, "CF_Central", "0",
"PYTHON_9.3")
if lm_env.CFCWEIGHT > 0:
# Copy values from Centrality Mapper output
# (core_centrality.gdb.project_Cores) if available
centrality_cores = os.path.join(lm_env.CORECENTRALITYGDB,
lm_env.PREFIX + "_Cores")
if arcpy.Exists(centrality_cores):
arcpy.AddJoin_management(core_lyr, lm_env.COREFN, centrality_cores,
lm_env.COREFN)
arcpy.CalculateField_management(
core_lyr, lm_env.CORENAME + ".CF_Central",
"!" + lm_env.PREFIX + "_Cores.CF_Central!", "PYTHON_9.3")
arcpy.RemoveJoin_management(core_lyr)
# Ensure cores have at least one non-0 value for CFC (could have been
# copied above or set earlier)
max_val = value_range(lm_env.COREFC, "CF_Central")[1]
if max_val is None or max_val == 0:
raise AppError(
"ERROR: A Current Flow Centrality Weight (CFCWEIGHT) was "
"provided but no Current Flow Centrality (CF_Central) "
"values are available. Please run Centrality Mapper on "
"this project, then run Linkage Priority.")
check_add_field(lm_env.COREFC, "ncfc", "DOUBLE")
# Calc mean resistance
core_mean(lm_env.RESRAST_IN, core_lyr, "mean_res")
# Calc area, perimeter and ratio
arcpy.CalculateField_management(core_lyr, "area", "!SHAPE.AREA!",
"PYTHON_9.3")
arcpy.CalculateField_management(core_lyr, "perimeter", "!SHAPE.LENGTH!",
"PYTHON_9.3")
arcpy.CalculateField_management(core_lyr, "ap_ratio",
"!area! / !perimeter!", "PYTHON_9.3")
# Normalize CAV inputs
normalize_field(core_lyr, "mean_res", "norm_res", lm_env.RESNORMETH, True)
normalize_field(core_lyr, "area", "norm_size", lm_env.SIZENORMETH)
normalize_field(core_lyr, "ap_ratio", "norm_ratio", lm_env.APNORMETH)
normalize_field(core_lyr, "ecav", "necav", lm_env.ECAVNORMETH)
normalize_field(core_lyr, "CF_Central", "ncfc", lm_env.CFCNORMETH)
# Calc OCAV
if lm_env.OCAVRAST_IN:
# Get max and min
lm_util.build_stats(lm_env.OCAVRAST_IN)
result = arcpy.GetRasterProperties_management(lm_env.OCAVRAST_IN,
"MAXIMUM")
max_ocav = float(result.getOutput(0))
result = arcpy.GetRasterProperties_management(lm_env.OCAVRAST_IN,
"MINIMUM")
min_ocav = float(result.getOutput(0))
# Calc score range normalization on input
ocav_raster = ((arcpy.sa.Raster(lm_env.OCAVRAST_IN) - min_ocav) /
(max_ocav - min_ocav))
# Calc aerial mean ocav for each core
core_mean(ocav_raster, core_lyr, "ocav")
normalize_field(core_lyr, "ocav", "nocav", NM_SCORE)
# Calc CAV
arcpy.CalculateField_management(
core_lyr, "cav", "(!norm_res! * " + str(lm_env.RESWEIGHT) +
") + (!norm_size! * " + str(lm_env.SIZEWEIGHT) +
") + (!norm_ratio! * " + str(lm_env.APWEIGHT) + ") + (!necav! * " +
str(lm_env.ECAVWEIGHT) + ") + (!ncfc! * " + str(lm_env.CFCWEIGHT) +
") + (!nocav! * " + str(lm_env.OCAVWEIGHT) + ")", "PYTHON_9.3")
else:
# Calc CAV
arcpy.CalculateField_management(
core_lyr, "cav",
"(!norm_res! * " + str(lm_env.RESWEIGHT) + ") + (!norm_size! * " +
str(lm_env.SIZEWEIGHT) + ") + (!norm_ratio! * " +
str(lm_env.APWEIGHT) + ") + (!necav! * " + str(lm_env.ECAVWEIGHT) +
") + (!ncfc! * " + str(lm_env.CFCWEIGHT) + ")", "PYTHON_9.3")
normalize_field(core_lyr, "cav", "norm_cav", NM_SCORE)
def main():
"""Iterates over LM, BM, and restoration tasks"""
## USER SETTINGS ######################################################
## Restoration Settings
## ALL input data must be in the same projection
start_time = time.clock()
restoreMaxROI = False # Set to True to restore highest ROI
# Set to False to restore strongest barrier
restoredResistanceVal = 1 # Resistance value of restored habitat. Must be 1 or greater.
restorationDataGDB = "C:\\barrierClassAnalysis\\RestorationINPUTS_July2013.gdb" # No spaces or special chars in paths or gdb names
outputDir = "C:\\barrierClassAnalysis\\output" # No spaces in path, avoid using dropbox or network drive
# Project directories will be created in this (iter1, iter2...)
# as will an output geodatabase
resistanceRaster = "URWA_resis"# Resistance raster. Should be in input GDB
coreFC = 'URWA_HCAs_Doug_Grant'# Core area feature class. Should be in input GDB 'URWA_HCAs_Doug_Grant'
coreFN = 'HCA_ID' # Core area field name
radius = 450 # restoration radius in meters
iterations = 13 # number of restorations to perform
minAgThreshold = 0.75 # if less than this proportion of ag in circle, don't consider restoring circle
minImprovementVal = 0 # Don't consider barriers below this improvement score (average improvement per meter diameter restored)
parcelCostRaster = 'DougGrantParcelCost_m2_projected_90m' # Average per-m2 parcel cost per pixel. Snapped to resistance raster.
restorationCostRaster = 'restCostPer_m2' # Right now this is just a raster with all pixels set to 0.113174
agRaster = "ARESmaskp_projected" # 1=Ag, 0 = not Ag
barrierCombineMethod = 'Maximum' # Some restorations benefit multiple corridors.
# 'Maximum' takes the greatest improvement across core area pairs
# 'Sum' adds improvement scores acreoss all pairs.
cwdThresh = None # Use cwdThresh = None for no threshold. Use cwdThresh = X to not consider
# restorations more than X map units away from each core area.
## END USER SETTINGS ######################################################
try:
# Setup path and create directories
gprint('Hey! Make sure everything is in the same projection!\n')
gprint('Setting up paths and creating directories')
sys.path.append('..\\toolbox\\scripts')
resRast = os.path.join(restorationDataGDB, resistanceRaster)
coreFCPath = os.path.join(restorationDataGDB, coreFC)
# Set up a NEW output gdb (leave previous ones on drive)
for i in range (1,200):
outputGDB = 'restorationOutput'+str(i)+'.gdb'
if not arcpy.Exists(os.path.join(outputDir,outputGDB)):
break
gprint('Previous output GDB '+ outputGDB +' exists. Delete to save disk space.')
arcpy.CreateFileGDB_management(outputDir,outputGDB)
outputGDB = os.path.join(outputDir,outputGDB)
logFile = os.path.join(outputGDB,'Iterate Barriers'+str(i)+'.py')
shutil.copyfile(__file__, logFile) #write a copy of this file to output dir as a record of settings
arcpy.env.cellSize = resRast
arcpy.env.extent = resRast
arcpy.env.snapRaster = resRast
arcpy.env.overwriteOutput = True
arcpy.env.scratchWorkspace = outputGDB
arcpy.env.workspace = outputGDB
spatialref = arcpy.Describe(resRast).spatialReference
mapunits = spatialref.linearUnitName
gprint('Cell size = ' + str(arcpy.env.cellSize) + ' ' + mapunits +'s')
# Calculate fraction of ag within radius of each pixel
gprint('Calculating purchase cost, fraction of ag, etc within radius of each pixel.')
agRaster = os.path.join(restorationDataGDB, agRaster)
inNeighborhood = NbrCircle(radius, "MAP")
arcpy.env.extent = agRaster
outFocalStats = arcpy.sa.FocalStatistics(agRaster,
inNeighborhood, "MEAN","NODATA")
proportionAgRaster = os.path.join(outputGDB,'proportionAgRas')
outFocalStats.save(proportionAgRaster)
arcpy.env.extent = resRast
# Calculate purchase cost of circles
parcelCostRaster = os.path.join(restorationDataGDB, parcelCostRaster)
arcpy.env.extent = parcelCostRaster
outFocalStats = arcpy.sa.FocalStatistics(parcelCostRaster,inNeighborhood, "MEAN","DATA")
costFocalStatsRaster = os.path.join(outputGDB,'costFocalStatsRaster')
outFocalStats.save(costFocalStatsRaster)
arcpy.env.extent = resRast
circleArea = float(npy.pi * radius * radius)
outras = (Raster(costFocalStatsRaster) * circleArea)
purchCostRaster = os.path.join(outputGDB,'purchaseCostRaster')
outras.save(purchCostRaster)
lu.delete_data(costFocalStatsRaster)
# restCost = npy.pi * radius * radius * restCostPer_m2
restorationCostRaster = os.path.join(restorationDataGDB, restorationCostRaster)
outras = Raster(purchCostRaster) + (Raster(restorationCostRaster) * radius * radius * npy.pi)
totalCostRaster = os.path.join(outputGDB,'totalCostRaster')
outras.save(totalCostRaster)
# lu.build_stats(totalCostRaster)
# Create mask to remove areas without cost data
arcpy.env.extent = totalCostRaster
costMaskRaster = os.path.join(outputGDB,'costMaskRaster')
costThresh = 0
outCon = arcpy.sa.Con((Raster(totalCostRaster) > float(costThresh)), 1)
outCon.save(costMaskRaster)
arcpy.env.extent = resRast
# Create mask to remove areas below ag threshold
outCon = arcpy.sa.Con((Raster(proportionAgRaster) > float(minAgThreshold)), 1)
agMaskRaster = os.path.join(outputGDB, 'agMaskRaster')
outCon.save(agMaskRaster)
doStep1 = 'true'
doStep2 = 'true'
doStep5 = 'false'
for iter in range(1,iterations+1): #xxx
start_time1 = time.clock()
arcpy.env.cellSize = resRast # Some env settings get changed by linkage mapper and must be reset here
arcpy.env.extent = resRast
arcpy.env.snapRaster = resRast
arcpy.env.overwriteOutput = True
arcpy.env.scratchWorkspace = outputGDB
arcpy.env.workspace = outputGDB
lu.dashline(1)
gprint('Running iteration number '+str(iter))
projDir = os.path.join(outputDir,'iter' + str(iter)+'Proj')
lu.create_dir(outputDir)
lu.delete_dir(projDir) #xxx
lu.create_dir(projDir)
if iter > 1: # Copy previous s2 linktable to new project directory
datapassDir = os.path.join(projDir,'datapass')
lu.create_dir(datapassDir)
projDir1 = os.path.join(outputDir,'iter1Proj')
datapassDirIter1 = os.path.join(projDir1,'datapass')
s2LinktableIter1 = os.path.join(datapassDirIter1 ,'linkTable_s2.csv')
s2LinkTable = os.path.join(datapassDir ,'linkTable_s2.csv')
shutil.copyfile(s2LinktableIter1, s2LinkTable)
# Run Linkage Mapper
distFile = os.path.join(outputDir, coreFC + '_dists.txt') # Copy distances text file from earlier LM run to the output directory- speeds things up!
if not os.path.exists(distFile):
if iter == 1:
gprint('Will calculate distance file.')
distFile = '#'
else:
projDir1 = os.path.join(outputDir,'iter1Proj')
distFile1 = os.path.join(projDir1, coreFC + '_dists.txt')
shutil.copyfile(distFile1,distFile) # Put a copy here for future runs
arcpy.env.overwriteOutput = True
arcpy.env.scratchWorkspace = outputGDB
arcpy.env.workspace = outputGDB
argv = ('lm_master.py', projDir, coreFCPath, coreFN, resRast,
doStep1, doStep2, 'Cost-Weighted & Euclidean', distFile,
'true', 'true', 'false', '4', 'Cost-Weighted', 'true',
doStep5, 'true', '200000', '10000', '#', '#', '#', '#')
gprint('Running ' + str(argv))
cfg.lm_configured = False # Insures lm_master uses current argv
lm_master.lm_master(argv) #xxx
doStep1 = 'false' # Can skip for future iterations
doStep2 = 'false' # Can skip for future iterations
doStep5 = 'false' # Skipping for future iterations
startRadius = str(radius)
endRadius = str(radius)
radiusStep = '0'
saveRadiusRasters= 'false'
writePctRasters = 'false'
argv = ('barrier_master.py', projDir, resRast, startRadius, endRadius, radiusStep, barrierCombineMethod,
saveRadiusRasters, writePctRasters, cwdThresh)
gprint('Running ' + str(argv))
barrier_master.bar_master(argv) #xxx
arcpy.env.cellSize = resRast # Some env settings get changed by linkage mapper and must be reset here
arcpy.env.extent = resRast
arcpy.env.snapRaster = resRast
arcpy.env.overwriteOutput = True
arcpy.env.scratchWorkspace = outputGDB
arcpy.env.workspace = outputGDB
gprint('Finding restoration circles with max barrier score / ROI')
# Find points with max ROI
PREFIX = os.path.basename(projDir)
if barrierCombineMethod == 'Sum':
sumSuffix = 'Sum'
else:
sumSuffix = ''
barrierFN = (PREFIX + "_BarrierCenters" + sumSuffix + "_Rad" + str(radius))
barrierRaster = os.path.join(projDir,'output','barriers.gdb',barrierFN)
if not arcpy.Exists(barrierRaster):
msg = ('Error: cannot find barrier output: '+barrierRaster)
lu.raise_error(msg)
# arcpy.env.cellSize = agMaskRaster
# arcpy.env.extent = agMaskRaster
if iter > 1:
gprint('Creating mask for previously restored areas')
inNeighborhood = NbrCircle(radius, "MAP")
arcpy.env.extent = allRestoredAreasRaster
outFocalStats = arcpy.sa.FocalStatistics(allRestoredAreasRaster,inNeighborhood, "MEAN","DATA")
allRestoredFocalRaster = os.path.join(outputGDB,'allRestFocRas_iter'+str(iter))
outFocalStats.save(allRestoredFocalRaster) # Anything > 0 would include a restored area and
arcpy.env.extent = resRast
restMaskRaster = os.path.join(outputGDB,'restMaskRaster_iter'+str(iter))
minval = 0
outCon = arcpy.sa.Con((Raster(allRestoredFocalRaster) == float(minval)), 1)
outCon.save(restMaskRaster)
# Candidate areas have not been restored, have cost data, meet
# minimum improvement score criteria, and have enough ag in them
candidateBarrierRaster = os.path.join(outputGDB, 'candidateBarrierRaster' + '_iter'+str(iter))
if iter > 1:
gprint('Creating candidate restoration raster using barrier results, previous restorations, and selection criteria')
outCalc = (Raster(costMaskRaster) * Raster(agMaskRaster) * Raster(barrierRaster) * Raster(restMaskRaster) * (radius * 2)) # ROI scores will be in terms of total improvement (= score * diameter)
else:
outCalc = (Raster(costMaskRaster) * Raster(agMaskRaster) * Raster(barrierRaster) * radius * 2)
minBarrierScore = minImprovementVal * radius * 2
if restoredResistanceVal != 1:
outCalc2 = (outCalc - (2 * radius * (restoredResistanceVal - 1)))
outCon = arcpy.sa.Con((outCalc2 >= float(minBarrierScore)), outCalc2)
else:
outCon = arcpy.sa.Con((outCalc >= float(minBarrierScore)), outCalc)
outCon.save(candidateBarrierRaster)
lu.build_stats(candidateBarrierRaster)
purchaseRoiRaster = os.path.join(outputGDB, 'purchaseRoiRaster' + '_iter'+str(iter))
outCalc = Raster(candidateBarrierRaster) / Raster(purchCostRaster)
outCalc.save(purchaseRoiRaster)
lu.build_stats(purchaseRoiRaster)
totalRoiRaster = os.path.join(outputGDB, 'purchaseRestRoiRaster' + '_iter'+str(iter))
outCalc = Raster(candidateBarrierRaster) / Raster(totalCostRaster)
outCalc.save(totalRoiRaster)
lu.build_stats(totalRoiRaster)
maxBarrier = arcpy.GetRasterProperties_management(candidateBarrierRaster,"MAXIMUM")
gprint('Maximum barrier improvement score: '+str(maxBarrier.getOutput(0)))
if maxBarrier < 0:
arcpy.AddWarning("\nNo barriers found that meet CWD or Ag threshold criteria.")
maxPurchROI = arcpy.GetRasterProperties_management(purchaseRoiRaster,"MAXIMUM")
gprint('Maximum purchase ROI score: '+str(maxPurchROI.getOutput(0)))
maxROI = arcpy.GetRasterProperties_management(totalRoiRaster,"MAXIMUM")
gprint('Maximum total ROI score: '+str(maxROI.getOutput(0)))
if restoreMaxROI:
outPoint = os.path.join(outputGDB, 'maxRoiPoint'+'_iter'+str(iter))
gprint('Choosing circle with maximum ROI to restore')
outCon = arcpy.sa.Con((Raster(totalRoiRaster) >= float(maxROI.getOutput(0))), totalRoiRaster)
maxRoiRaster = os.path.join(outputGDB, 'maxRoiRaster')
outCon.save(maxRoiRaster)
# Save max ROI to point
try:
arcpy.RasterToPoint_conversion(maxRoiRaster, outPoint)
except:
msg = ('Error: it looks like there are no viable restoration candidates.')
lu.raise_error(msg)
else: #Restoring strongest barrier instead
outPoint = os.path.join(outputGDB, 'maxBarrierPoint'+'_iter'+str(iter))
gprint('Choosing circle with maximum BARRIER IMPROVEMENT SCORE to restore')
outCon = arcpy.sa.Con((Raster(candidateBarrierRaster) >= float(maxBarrier.getOutput(0))), candidateBarrierRaster)
maxBarrierRaster = os.path.join(outputGDB, 'maxBarrierRaster')
outCon.save(maxBarrierRaster)
# Save max barrier to point
try:
arcpy.RasterToPoint_conversion(maxBarrierRaster, outPoint)
except:
msg = ('Error: it looks like there are no viable restoration candidates.')
lu.raise_error(msg)
gprint('Done evaluating candidate restorations')
result = int(arcpy.GetCount_management(outPoint).getOutput(0))
if result > 1:
arcpy.AddWarning('Deleting points with identical ROI/improvement score values') # Would be better to retain point with max barrier score when we have multiple points with same ROI
arcpy.DeleteIdentical_management(outPoint, "grid_code", 0.1, 0.1)
arcpy.sa.ExtractMultiValuesToPoints(outPoint,
[[candidateBarrierRaster, "barrierScore"],[purchCostRaster, "purchCost"],
[totalCostRaster, "totalCost"],[purchaseRoiRaster, "purchaseROI"],
[totalRoiRaster, "totalROI"]], "NONE")
arcpy.AddField_management(outPoint, "restorationNumber", "SHORT")
arcpy.CalculateField_management(outPoint, "restorationNumber", iter)
arcpy.AddField_management(outPoint, "radius", "DOUBLE")
arcpy.CalculateField_management(outPoint, "radius", radius)
arcpy.AddField_management(outPoint, "barrierScore_per_m", "DOUBLE")
arcpy.CalculateField_management(outPoint, "barrierScore_per_m", "(float(!barrierScore!) / (!radius! * 2))", "PYTHON")
gprint('\nCreating restoration circles')
if restoreMaxROI:
circleFC = os.path.join(outputGDB, 'maxRoiCircle'+'_iter'+str(iter))
else:
circleFC = os.path.join(outputGDB, 'maxBarrierCircle'+'_iter'+str(iter))
arcpy.Buffer_analysis(outPoint, circleFC, radius)
gprint('Rasterizing restoration circles')
if restoreMaxROI:
circleRas = os.path.join(outputGDB, 'maxRoiCircleRas'+'_iter'+str(iter))
else:
circleRas = os.path.join(outputGDB, 'maxBarrierCircleRas'+'_iter'+str(iter))
arcpy.FeatureToRaster_conversion(circleFC, 'totalROI', circleRas, arcpy.env.cellSize)
# restore raster
gprint('Digitally restoring resistance raster')
resRastRestored = os.path.join(outputGDB, 'resRastRestored'+'_iter'+str(iter))
outCon = arcpy.sa.Con(IsNull(circleRas), resRast, restoredResistanceVal)
outCon.save(resRastRestored)
allRestoredAreasRaster = os.path.join(outputGDB, 'allRestoredAreas_iter'+str(iter))
PrevRestoredAreasRaster= os.path.join(outputGDB, 'allRestoredAreas_iter'+str(iter-1))
if iter == 1:
outCon = arcpy.sa.Con(IsNull(circleRas), 0, 1)
else:
outCon = arcpy.sa.Con(IsNull(circleRas), PrevRestoredAreasRaster, 1) # Add this restoration to areas restored
outCon.save(allRestoredAreasRaster)
lu.delete_data(circleRas)
resRast = resRastRestored # Use for next iteration resistance raster
#Add circle into feature class with all circles
if restoreMaxROI:
allCirclesFC = os.path.join(outputGDB,"allCirclesMaxROI")
else:
allCirclesFC = os.path.join(outputGDB,"allCirclesMaxBarriers")
if iter == 1:
arcpy.CopyFeatures_management(circleFC, allCirclesFC)
else:
arcpy.Append_management(circleFC, allCirclesFC, "TEST")
gprint('Finished iteration #'+str(iter))
start_time1 = lu.elapsed_time(start_time1)
gprint('\nDone with iterations.')
start_time = lu.elapsed_time(start_time)
gprint('Outputs saved in: '+outputGDB)
gprint('Back up your project directories if you want to save corridor/barrier results.')
# Return GEOPROCESSING specific errors
except arcpy.ExecuteError:
lu.dashline(1)
gprint('****Iteration script failed. Details follow.****')
lu.exit_with_geoproc_error(_SCRIPT_NAME)
# Return any PYTHON or system specific errors
except:
lu.dashline(1)
gprint('****Iteration script failed. Details follow.****')
lu.exit_with_python_error(_SCRIPT_NAME)
def csp(sum_rasters, count_non_null_cells_rasters, max_rasters, lcp_lines):
"""Calculate Corridor Specific Priority (CSP) for each corridor."""
lm_util.gprint(
"Calculating Corridor Specific Priority (CSP) for each corridor")
prev_ws = arcpy.env.workspace
# check weights
if lp_env.CCERAST_IN:
if lp_env.CLOSEWEIGHT + lp_env.PERMWEIGHT + lp_env.CAVWEIGHT + lp_env.ECIVWEIGHT + lp_env.CEDWEIGHT <> 1.0:
lm_util.gprint(
"Warning: CLOSEWEIGHT + PERMWEIGHT + CAVWEIGHT + ECIVWEIGHT + CEDWEIGHT <> 1.0"
)
else:
if lp_env.CLOSEWEIGHT + lp_env.PERMWEIGHT + lp_env.CAVWEIGHT + lp_env.ECIVWEIGHT <> 1.0:
lm_util.gprint(
"Warning: CLOSEWEIGHT + PERMWEIGHT + CAVWEIGHT + ECIVWEIGHT <> 1.0"
)
if lp_env.CEDWEIGHT > 0 and not lp_env.CCERAST_IN:
lm_util.gprint(
"Warning: CEDWEIGHT > 0, but no Current Climate Envelope raster input provided"
)
if lp_env.CEDWEIGHT == 0 and lp_env.CCERAST_IN:
lm_util.gprint(
"Warning: Current Climate Envelope raster input provided, but CEDWEIGHT = 0"
)
if lp_env.ECIVWEIGHT > 0 and ((not lp_env.COREPAIRSTABLE_IN) or
(not lp_env.ECIVFIELD)):
lm_util.gprint(
"Warning: ECIVWEIGHT > 0, but no Expert Corridor Importance Value field provided"
)
if lp_env.ECIVWEIGHT == 0 and lp_env.COREPAIRSTABLE_IN and lp_env.ECIVFIELD:
lm_util.gprint(
"Warning: Expert Corridor Importance Value field provided, but ECIVWEIGHT = 0"
)
# could be multiple folders
nlc_idx = 0
while True:
nlc_str = ""
if nlc_idx > 0:
nlc_str = str(nlc_idx)
if not os.path.exists(
os.path.join(lm_env.DATAPASSDIR, "nlcc", "nlc" + nlc_str,
"inv_norm")):
break
arcpy.env.workspace = (os.path.join(lm_env.DATAPASSDIR, "nlcc",
"nlc" + nlc_str, "inv_norm"))
csp_rasters = []
count_rasters = []
# process each corridor raster in folder
for inRaster in arcpy.ListRasters():
# check for max 1
result = arcpy.GetRasterProperties_management(inRaster, "MAXIMUM")
max_in = float(result.getOutput(0))
if max_in <> 1.0:
lm_util.gprint("Warning: maximum " + inRaster +
" value <> 1.0")
# get cores from raster name
name_parts = inRaster.partition("_")
from_core = name_parts[0]
to_core = name_parts[2]
# check for corresponding link
links = arcpy.SearchCursor(
lcp_lines, "(From_Core = " + from_core + " AND To_Core = " +
to_core + ") OR (From_Core = " + to_core + " AND To_Core = " +
from_core + ")")
if links:
link = links.next()
# get and avg CAVs for the core pair
x_cav = arcpy.SearchCursor("core_lyr",
lp_env.COREFN + " = " + from_core,
"", "",
"").next().getValue("norm_cav")
y_cav = arcpy.SearchCursor("core_lyr",
lp_env.COREFN + " = " + to_core, "",
"", "").next().getValue("norm_cav")
avg_cav = (x_cav + y_cav) / 2
# get ECIV for the core pair
neciv = 0
if lp_env.COREPAIRSTABLE_IN and lp_env.ECIVFIELD:
neciv = arcpy.SearchCursor(
lp_env.COREPAIRSTABLE_IN, "(" + lp_env.FROMCOREFIELD +
" = " + from_core + " AND " + lp_env.TOCOREFIELD +
" = " + to_core + ") OR" + "(" + lp_env.TOCOREFIELD +
" = " + from_core + " AND " + lp_env.FROMCOREFIELD +
" = " + to_core + ")").next().getValue("neciv")
# get and difference climate envelopes for the core pair to create CED
if lp_env.CCERAST_IN:
x_clim_env = arcpy.SearchCursor(
"core_lyr", lp_env.COREFN + " = " + from_core, "", "",
"").next().getValue("nclim_env")
y_clim_env = arcpy.SearchCursor(
"core_lyr", lp_env.COREFN + " = " + to_core, "", "",
"").next().getValue("nclim_env")
if lp_env.FCERAST_IN:
# climate envelope difference is calculated relative to future climate envelope
# cooler core uses future
if (x_clim_env >
y_clim_env) and lp_env.HIGHERCE_COOLER:
y_clim_env = arcpy.SearchCursor(
"core_lyr", lp_env.COREFN + " = " + to_core,
"", "", "").next().getValue("nfut_clim")
else:
x_clim_env = arcpy.SearchCursor(
"core_lyr", lp_env.COREFN + " = " + from_core,
"", "", "").next().getValue("nfut_clim")
diff_clim_env = abs(x_clim_env - y_clim_env)
# calc weighted sum
output_raster = (
(lp_env.CLOSEWEIGHT * link.getValue("Rel_Close")) +
(lp_env.PERMWEIGHT * link.getValue("Rel_Perm")) +
(0.0001 * Raster(inRaster)) +
(lp_env.CAVWEIGHT * avg_cav) +
(lp_env.ECIVWEIGHT * neciv) +
(lp_env.CEDWEIGHT * diff_clim_env))
else:
# calc weighted sum
output_raster = (
(lp_env.CLOSEWEIGHT * link.getValue("Rel_Close")) +
(lp_env.PERMWEIGHT * link.getValue("Rel_Perm")) +
(0.0001 * Raster(inRaster)) +
(lp_env.CAVWEIGHT * avg_cav) +
(lp_env.ECIVWEIGHT * neciv))
if lp_env.KEEPINTERMEDIATE:
# also save a copy for debugging purposes
arcpy.CopyRaster_management(
output_raster,
os.path.join(
lm_env.SCRATCHDIR, "intermediate.gdb",
lm_env.PREFIX + "_CSP_" + from_core + "_" +
to_core), None, None, None, None, None,
"32_BIT_FLOAT")
# get max and min
lm_util.build_stats(output_raster)
result = arcpy.GetRasterProperties_management(
output_raster, "MAXIMUM")
max_csp = float(result.getOutput(0))
result = arcpy.GetRasterProperties_management(
output_raster, "MINIMUM")
min_csp = float(result.getOutput(0))
# determine threshold value
diff_csp = max_csp - min_csp
thres_csp = max_csp - (diff_csp * lp_env.PROPCSPKEEP)
# apply threshold
con_raster = Con(output_raster, output_raster, "#",
"VALUE > " + str(thres_csp))
is_null_raster = IsNull(con_raster)
count_raster = EqualTo(is_null_raster, 0)
count_rasters.append(count_raster)
csp_rasters.append(con_raster)
if lp_env.KEEPINTERMEDIATE:
# also save a copy for debugging purposes
arcpy.CopyRaster_management(
con_raster,
os.path.join(
lm_env.SCRATCHDIR, "intermediate.gdb",
lm_env.PREFIX + "_CSP_TOP_" + from_core + "_" +
to_core), None, None, None, None, None,
"32_BIT_FLOAT")
del link, links
# perform intermediate calculations on CSPs leading toward CPV
arcpy.env.scratchWorkspace = lm_env.SCRATCHGDB
sum_raster = CellStatistics(csp_rasters, "SUM", "DATA")
sum_rasters.append(sum_raster)
count_non_null_cells = CellStatistics(count_rasters, "SUM", "DATA")
count_non_null_cells_rasters.append(count_non_null_cells)
max_raster = CellStatistics(csp_rasters, "MAXIMUM", "DATA")
max_rasters.append(max_raster)
nlc_idx += 1
arcpy.env.workspace = prev_ws
def cav():
"""Calculate Core Area Value (CAV) and its components for each core."""
lm_util.gprint(
"Calculating Core Area Value (CAV) and its components for each core")
arcpy.MakeFeatureLayer_management(lp_env.COREFC, "core_lyr")
# check weights and warn if issues
if lp_env.OCAVRAST_IN:
if lp_env.RESWEIGHT + lp_env.SIZEWEIGHT + lp_env.APWEIGHT + lp_env.ECAVWEIGHT + lp_env.CFCWEIGHT +\
lp_env.OCAVWEIGHT <> 1.0:
lm_util.gprint(
"Warning: RESWEIGHT + SIZEWEIGHT + APWEIGHT + ECAVWEIGHT + CFCWEIGHT + OCAVWEIGHT <> 1.0"
)
else:
if lp_env.RESWEIGHT + lp_env.SIZEWEIGHT + lp_env.APWEIGHT + lp_env.ECAVWEIGHT + lp_env.CFCWEIGHT <> 1.0:
lm_util.gprint(
"Warning: RESWEIGHT + SIZEWEIGHT + APWEIGHT + ECAVWEIGHT + CFCWEIGHT <> 1.0"
)
if lp_env.OCAVWEIGHT > 0 and not lp_env.OCAVRAST_IN:
lm_util.gprint(
"Warning: OCAVWEIGHT > 0 but no OCAV raster input provided")
if lp_env.OCAVWEIGHT == 0 and lp_env.OCAVRAST_IN:
lm_util.gprint(
"Warning: OCAV raster input provided, but OCAVWEIGHT = 0")
# check/add fields
check_add_field(lp_env.COREFC, "mean_res", "DOUBLE")
check_add_field(lp_env.COREFC, "norm_res", "DOUBLE")
check_add_field(lp_env.COREFC, "area", "DOUBLE")
check_add_field(lp_env.COREFC, "norm_size", "DOUBLE")
check_add_field(lp_env.COREFC, "perimeter", "DOUBLE")
check_add_field(lp_env.COREFC, "ap_ratio", "DOUBLE")
check_add_field(lp_env.COREFC, "norm_ratio", "DOUBLE")
check_add_field(lp_env.COREFC, "cav", "DOUBLE")
check_add_field(lp_env.COREFC, "norm_cav", "DOUBLE")
check_add_field(lp_env.COREFC, "clim_env", "DOUBLE")
check_add_field(lp_env.COREFC, "nclim_env", "DOUBLE")
check_add_field(lp_env.COREFC, "fut_clim", "DOUBLE")
check_add_field(lp_env.COREFC, "nfut_clim", "DOUBLE")
check_add_field(lp_env.COREFC, "ocav", "DOUBLE")
check_add_field(lp_env.COREFC, "nocav", "DOUBLE")
if not check_add_field(lp_env.COREFC, "ecav", "DOUBLE"):
if lp_env.ECAVWEIGHT > 0:
lm_util.gprint(
"Warning: ECAVWEIGHT > 0 but no ecav field in Cores feature class"
)
arcpy.CalculateField_management(lp_env.COREFC, "ecav", "0")
check_add_field(lp_env.COREFC, "necav", "DOUBLE")
# current flow centrality (CFC, CF_Central) is copied from Centrality Mapper
if not check_add_field(lp_env.COREFC, "CF_Central", "DOUBLE"):
# default to 0s
arcpy.CalculateField_management(lp_env.COREFC, "CF_Central", "0")
if lp_env.CFCWEIGHT > 0:
# copy values from Centrality Mapper output (core_centrality.gdb.project_Cores) if available
centrality_cores = os.path.join(lm_env.CORECENTRALITYGDB,
lm_env.PREFIX + "_Cores")
if arcpy.Exists(centrality_cores):
arcpy.AddJoin_management("core_lyr", lp_env.COREFN,
centrality_cores, lp_env.COREFN)
arcpy.CalculateField_management(
"core_lyr", lp_env.CORENAME + ".CF_Central",
"[" + lm_env.PREFIX + "_Cores.CF_Central]")
arcpy.RemoveJoin_management("core_lyr")
# ensure cores have at least one non-0 value for CFC (could have been copied above or set earlier)
max_val = arcpy.SearchCursor(
lm_env.COREFC, "", "", "",
"CF_Central D").next().getValue("CF_Central")
if max_val is None or max_val == 0:
msg = (
"ERROR: A Current Flow Centrality Weight (CFCWEIGHT) was provided but no Current Flow Centrality "
+
"(CF_Central) values are available. Please run Centrality Mapper on this project, then run "
+ "Linkage Priority.")
raise Exception(msg)
check_add_field(lp_env.COREFC, "ncfc", "DOUBLE")
# calc mean resistance
stats_table = ZonalStatisticsAsTable(
lp_env.COREFC, lp_env.COREFN, lp_env.RESRAST_IN,
os.path.join(lm_env.SCRATCHDIR, "scratch.gdb",
"core_resistance_stats"))
arcpy.AddJoin_management("core_lyr", lp_env.COREFN, stats_table,
lp_env.COREFN)
arcpy.CalculateField_management("core_lyr", lp_env.CORENAME + ".mean_res",
"[core_resistance_stats.MEAN]")
arcpy.RemoveJoin_management("core_lyr")
# calc area, perimeter and ratio
arcpy.CalculateField_management("core_lyr", "area", "!SHAPE.AREA!",
"PYTHON_9.3")
arcpy.CalculateField_management("core_lyr", "perimeter", "!SHAPE.LENGTH!",
"PYTHON_9.3")
arcpy.CalculateField_management("core_lyr", "ap_ratio",
"!area! / !perimeter!", "PYTHON_9.3")
# normalize CAV inputs
# resistance - invert
normalize_field("core_lyr", "mean_res", "norm_res", lp_env.RESNORMETH,
True)
# size
normalize_field("core_lyr", "area", "norm_size", lp_env.SIZENORMETH)
# area/perimeter ratio
normalize_field("core_lyr", "ap_ratio", "norm_ratio", lp_env.APNORMETH)
# ecav
normalize_field("core_lyr", "ecav", "necav", lp_env.ECAVNORMETH)
# cfc
normalize_field("core_lyr", "CF_Central", "ncfc", lp_env.CFCNORMETH)
# calc OCAV
if lp_env.OCAVRAST_IN:
# get max and min
lm_util.build_stats(lp_env.OCAVRAST_IN)
result = arcpy.GetRasterProperties_management(lp_env.OCAVRAST_IN,
"MAXIMUM")
max_ocav = float(result.getOutput(0))
result = arcpy.GetRasterProperties_management(lp_env.OCAVRAST_IN,
"MINIMUM")
min_ocav = float(result.getOutput(0))
# calc score range normalization on input
ocav_raster = (Raster(lp_env.OCAVRAST_IN) - min_ocav) / (max_ocav -
min_ocav)
# calc aerial mean ocav for each core
ocav_table = ZonalStatisticsAsTable(
lp_env.COREFC, lp_env.COREFN, ocav_raster,
os.path.join(lm_env.SCRATCHDIR, "scratch.gdb", "core_ocav_stats"))
arcpy.AddJoin_management("core_lyr", lp_env.COREFN, ocav_table,
lp_env.COREFN)
arcpy.CalculateField_management("core_lyr", lp_env.CORENAME + ".ocav",
"[core_ocav_stats.MEAN]")
arcpy.RemoveJoin_management("core_lyr")
# calc score range normalization on output
normalize_field("core_lyr", "ocav", "nocav", 0)
# calc CAV
arcpy.CalculateField_management(
"core_lyr", "cav", "(!norm_res! * " + str(lp_env.RESWEIGHT) +
") + (!norm_size! * " + str(lp_env.SIZEWEIGHT) +
") + (!norm_ratio! * " + str(lp_env.APWEIGHT) + ") + (!necav! * " +
str(lp_env.ECAVWEIGHT) + ") + (!ncfc! * " + str(lp_env.CFCWEIGHT) +
") + (!nocav! * " + str(lp_env.OCAVWEIGHT) + ")", "PYTHON_9.3")
else:
# calc CAV
arcpy.CalculateField_management(
"core_lyr", "cav",
"(!norm_res! * " + str(lp_env.RESWEIGHT) + ") + (!norm_size! * " +
str(lp_env.SIZEWEIGHT) + ") + (!norm_ratio! * " +
str(lp_env.APWEIGHT) + ") + (!necav! * " + str(lp_env.ECAVWEIGHT) +
") + (!ncfc! * " + str(lp_env.CFCWEIGHT) + ")", "PYTHON_9.3")
# normalize CAV with score range normalization
normalize_field("core_lyr", "cav", "norm_cav", 0)
def calc_lccs(normalize):
try:
if normalize:
mosaicBaseName = "_corridors"
writeTruncRaster = cfg.WRITETRUNCRASTER
outputGDB = cfg.OUTPUTGDB
if cfg.CALCNONNORMLCCS:
SAVENORMLCCS = False
else:
SAVENORMLCCS = cfg.SAVENORMLCCS
else:
mosaicBaseName = "_NON_NORMALIZED_corridors"
SAVENORMLCCS = False
outputGDB = cfg.EXTRAGDB
writeTruncRaster = False
lu.dashline(1)
gprint('Running script ' + _SCRIPT_NAME)
linkTableFile = lu.get_prev_step_link_table(step=5)
if cfg.useArcpy:
arcpy.env.workspace = cfg.SCRATCHDIR
arcpy.env.scratchWorkspace = cfg.ARCSCRATCHDIR
arcpy.env.overwriteOutput = True
arcpy.env.compression = "NONE"
else:
gp.workspace = cfg.SCRATCHDIR
gp.scratchWorkspace = cfg.ARCSCRATCHDIR
gp.OverwriteOutput = True
if cfg.MAXEUCDIST is not None:
gprint('Max Euclidean distance between cores')
gprint('for linkage mapping set to ' + str(cfg.MAXEUCDIST))
if cfg.MAXCOSTDIST is not None:
gprint('Max cost-weighted distance between cores')
gprint('for linkage mapping set to ' + str(cfg.MAXCOSTDIST))
# set the analysis extent and cell size to that of the resistance
# surface
if cfg.useArcpy:
arcpy.env.Extent = cfg.RESRAST
arcpy.env.cellSize = cfg.RESRAST
arcpy.env.snapRaster = cfg.RESRAST
arcpy.env.mask = cfg.RESRAST
else:
gp.Extent = (gp.Describe(cfg.RESRAST)).Extent
gp.cellSize = gp.Describe(cfg.RESRAST).MeanCellHeight
gp.mask = cfg.RESRAST
gp.snapraster = cfg.RESRAST
linkTable = lu.load_link_table(linkTableFile)
numLinks = linkTable.shape[0]
numCorridorLinks = lu.report_links(linkTable)
if numCorridorLinks == 0:
lu.dashline(1)
msg = ('\nThere are no corridors to map. Bailing.')
lu.raise_error(msg)
if not cfg.STEP3 and not cfg.STEP4:
# re-check for links that are too long or in case script run out of
# sequence with more stringent settings
gprint('Double-checking for corridors that are too long to map.')
DISABLE_LEAST_COST_NO_VAL = True
linkTable, numDroppedLinks = lu.drop_links(
linkTable, cfg.MAXEUCDIST, cfg.MINEUCDIST, cfg.MAXCOSTDIST,
cfg.MINCOSTDIST, DISABLE_LEAST_COST_NO_VAL)
# Added to try to speed up:
gp.pyramid = "NONE"
gp.rasterstatistics = "NONE"
# set up directories for normalized lcc and mosaic grids
dirCount = 0
gprint("Creating output folder: " + cfg.LCCBASEDIR)
lu.delete_dir(cfg.LCCBASEDIR)
gp.CreateFolder_management(path.dirname(cfg.LCCBASEDIR),
path.basename(cfg.LCCBASEDIR))
gp.CreateFolder_management(cfg.LCCBASEDIR, cfg.LCCNLCDIR_NM)
clccdir = path.join(cfg.LCCBASEDIR, cfg.LCCNLCDIR_NM)
# mosaicGDB = path.join(cfg.LCCBASEDIR, "mosaic.gdb")
# gp.createfilegdb(cfg.LCCBASEDIR, "mosaic.gdb")
#mosaicRaster = mosaicGDB + '\\' + "nlcc_mos" # Full path
gprint("")
if normalize:
gprint('Normalized least-cost corridors will be written '
'to ' + clccdir + '\n')
PREFIX = cfg.PREFIX
# Add CWD layers for core area pairs to produce NORMALIZED LCC layers
numGridsWritten = 0
coreList = linkTable[:, cfg.LTB_CORE1:cfg.LTB_CORE2 + 1]
coreList = npy.sort(coreList)
x = 0
linkCount = 0
endIndex = numLinks
while x < endIndex:
if (linkTable[x, cfg.LTB_LINKTYPE] < 1): # If not a valid link
x = x + 1
continue
linkCount = linkCount + 1
start_time = time.clock()
linkId = str(int(linkTable[x, cfg.LTB_LINKID]))
# source and target cores
corex = int(coreList[x, 0])
corey = int(coreList[x, 1])
# Get cwd rasters for source and target cores
cwdRaster1 = lu.get_cwd_path(corex)
cwdRaster2 = lu.get_cwd_path(corey)
if not gp.Exists(cwdRaster1):
msg = ('\nError: cannot find cwd raster:\n' + cwdRaster1)
if not gp.Exists(cwdRaster2):
msg = ('\nError: cannot find cwd raster:\n' + cwdRaster2)
lu.raise_error(msg)
lccNormRaster = path.join(clccdir,
str(corex) + "_" +
str(corey)) # + ".tif")
if cfg.useArcpy:
arcpy.env.Extent = "MINOF"
else:
gp.Extent = "MINOF"
# FIXME: need to check for this?:
# if exists already, don't re-create
#if not gp.Exists(lccRaster):
link = lu.get_links_from_core_pairs(linkTable, corex, corey)
offset = 10000
# Normalized lcc rasters are created by adding cwd rasters and
# subtracting the least cost distance between them.
count = 0
if arcpyAvailable:
cfg.useArcpy = True # Fixes Canran Liu's bug with lcDist
if cfg.useArcpy:
lcDist = (float(linkTable[link, cfg.LTB_CWDIST]) - offset)
if normalize:
statement = (
'outras = Raster(cwdRaster1) + Raster('
'cwdRaster2) - lcDist; outras.save(lccNormRaster)')
else:
statement = ('outras =Raster(cwdRaster1) + Raster('
'cwdRaster2); outras.save(lccNormRaster)')
else:
if normalize:
lcDist = str(linkTable[link, cfg.LTB_CWDIST] - offset)
expression = (cwdRaster1 + " + " + cwdRaster2 + " - " +
lcDist)
else:
expression = (cwdRaster1 + " + " + cwdRaster2)
statement = ('gp.SingleOutputMapAlgebra_sa(expression, '
'lccNormRaster)')
count = 0
while True:
try:
exec statement
randomerror()
except:
count, tryAgain = lu.retry_arc_error(count, statement)
if not tryAgain:
exec statement
else:
break
cfg.useArcpy = False # End fix for Conran Liu's bug with lcDist
if normalize and cfg.useArcpy:
try:
minObject = gp.GetRasterProperties(lccNormRaster,
"MINIMUM")
rasterMin = float(str(minObject.getoutput(0)))
except:
gp.AddWarning(
'\n------------------------------------------------')
gp.AddWarning(
'WARNING: Raster minimum check failed in step 5. \n'
'This may mean the output rasters are corrupted. Please \n'
'be sure to check for valid rasters in ' + outputGDB)
rasterMin = 0
tolerance = (float(gp.cellSize) * -10) + offset
if rasterMin < tolerance:
lu.dashline(1)
msg = (
'WARNING: Minimum value of a corridor #' + str(x + 1) +
' is much less than zero (' + str(rasterMin) + ').'
'\nThis could mean that BOUNDING CIRCLE BUFFER DISTANCES '
'were too small and a corridor passed outside of a '
'bounding circle, or that a corridor passed outside of the '
'resistance map. \n')
gp.AddWarning(msg)
if cfg.useArcpy:
arcpy.env.Extent = cfg.RESRAST
else:
gp.Extent = (gp.Describe(cfg.RESRAST)).Extent
mosaicDir = path.join(cfg.LCCBASEDIR, 'mos' + str(x + 1))
lu.create_dir(mosaicDir)
mosFN = 'mos' #.tif' change and move
mosaicRaster = path.join(mosaicDir, mosFN)
if numGridsWritten == 0 and dirCount == 0:
#If this is the first grid then copy rather than mosaic
arcObj.CopyRaster_management(lccNormRaster, mosaicRaster)
else:
rasterString = '"' + lccNormRaster + ";" + lastMosaicRaster + '"'
statement = ('arcObj.MosaicToNewRaster_management('
'rasterString,mosaicDir,mosFN, "", '
'"32_BIT_FLOAT", gp.cellSize, "1", "MINIMUM", '
'"MATCH")')
# statement = ('arcpy.Mosaic_management(lccNormRaster, '
# 'mosaicRaster, "MINIMUM", "MATCH")')
count = 0
while True:
try:
lu.write_log('Executing mosaic for link #' +
str(linkId))
exec statement
lu.write_log('Done with mosaic.')
randomerror()
except:
count, tryAgain = lu.retry_arc_error(count, statement)
lu.delete_data(mosaicRaster)
lu.delete_dir(mosaicDir)
# Try a new directory
mosaicDir = path.join(
cfg.LCCBASEDIR,
'mos' + str(x + 1) + '_' + str(count))
lu.create_dir(mosaicDir)
mosaicRaster = path.join(mosaicDir, mosFN)
if not tryAgain:
exec statement
else:
break
endTime = time.clock()
processTime = round((endTime - start_time), 2)
if normalize == True:
printText = "Normalized and mosaicked "
else:
printText = "Mosaicked NON-normalized "
gprint(printText + "corridor for link ID #" + str(linkId) +
" connecting core areas " + str(corex) + " and " +
str(corey) + " in " + str(processTime) + " seconds. " +
str(int(linkCount)) + " out of " +
str(int(numCorridorLinks)) + " links have been "
"processed.")
# temporarily disable links in linktable - don't want to mosaic
# them twice
for y in range(x + 1, numLinks):
corex1 = int(coreList[y, 0])
corey1 = int(coreList[y, 1])
if corex1 == corex and corey1 == corey:
linkTable[y, cfg.LTB_LINKTYPE] = (
linkTable[y, cfg.LTB_LINKTYPE] + 1000)
elif corex1 == corey and corey1 == corex:
linkTable[y, cfg.LTB_LINKTYPE] = (
linkTable[y, cfg.LTB_LINKTYPE] + 1000)
numGridsWritten = numGridsWritten + 1
if not SAVENORMLCCS:
lu.delete_data(lccNormRaster)
lu.delete_dir(clccdir)
lu.create_dir(clccdir)
else:
if numGridsWritten == 100:
# We only write up to 100 grids to any one folder
# because otherwise Arc slows to a crawl
dirCount = dirCount + 1
numGridsWritten = 0
clccdir = path.join(cfg.LCCBASEDIR,
cfg.LCCNLCDIR_NM + str(dirCount))
gprint("Creating output folder: " + clccdir)
gp.CreateFolder_management(cfg.LCCBASEDIR,
path.basename(clccdir))
if numGridsWritten > 1 or dirCount > 0:
lu.delete_data(lastMosaicRaster)
lu.delete_dir(path.dirname(lastMosaicRaster))
lastMosaicRaster = mosaicRaster
x = x + 1
#rows that were temporarily disabled
rows = npy.where(linkTable[:, cfg.LTB_LINKTYPE] > 1000)
linkTable[rows,
cfg.LTB_LINKTYPE] = (linkTable[rows, cfg.LTB_LINKTYPE] -
1000)
# ---------------------------------------------------------------------
# Create output geodatabase
if not gp.exists(outputGDB):
gp.createfilegdb(cfg.OUTPUTDIR, path.basename(outputGDB))
if cfg.useArcpy:
arcpy.env.workspace = outputGDB
else:
gp.workspace = outputGDB
gp.pyramid = "NONE"
gp.rasterstatistics = "NONE"
# Copy mosaic raster to output geodatabase
saveFloatRaster = False
if saveFloatRaster == True:
floatRaster = outputGDB + '\\' + PREFIX + mosaicBaseName + '_flt' # Full path
statement = 'arcObj.CopyRaster_management(mosaicRaster, floatRaster)'
try:
exec statement
except:
pass
# ---------------------------------------------------------------------
# convert mosaic raster to integer
intRaster = path.join(outputGDB, PREFIX + mosaicBaseName)
if cfg.useArcpy:
statement = ('outras = Int(Raster(mosaicRaster) - offset + 0.5); '
'outras.save(intRaster)')
else:
expression = "int(" + mosaicRaster + " - " + str(
offset) + " + 0.5)"
statement = 'gp.SingleOutputMapAlgebra_sa(expression, intRaster)'
count = 0
while True:
try:
exec statement
randomerror()
except:
count, tryAgain = lu.retry_arc_error(count, statement)
if not tryAgain: exec statement
else: break
# ---------------------------------------------------------------------
if writeTruncRaster:
# -----------------------------------------------------------------
# Set anything beyond cfg.CWDTHRESH to NODATA.
if arcpyAvailable:
cfg.useArcpy = True # For Alissa Pump's error with 10.1
cutoffText = str(cfg.CWDTHRESH)
if cutoffText[-6:] == '000000':
cutoffText = cutoffText[0:-6] + 'm'
elif cutoffText[-3:] == '000':
cutoffText = cutoffText[0:-3] + 'k'
truncRaster = (outputGDB + '\\' + PREFIX + mosaicBaseName +
'_truncated_at_' + cutoffText)
count = 0
if cfg.useArcpy:
statement = ('outRas = Raster(intRaster) * '
'(Con(Raster(intRaster) <= cfg.CWDTHRESH,1)); '
'outRas.save(truncRaster)')
else:
expression = ("(" + intRaster + " * (con(" + intRaster +
"<= " + str(cfg.CWDTHRESH) + ",1)))")
statement = ('gp.SingleOutputMapAlgebra_sa(expression, '
'truncRaster)')
count = 0
while True:
try:
exec statement
randomerror()
except:
count, tryAgain = lu.retry_arc_error(count, statement)
if not tryAgain: exec statement
else: break
cfg.useArcpy = False # End fix for Alissa Pump's error with 10.1
# ---------------------------------------------------------------------
# Check for unreasonably low minimum NLCC values
try:
mosaicGrid = path.join(cfg.LCCBASEDIR, 'mos')
# Copy to grid to test
arcObj.CopyRaster_management(mosaicRaster, mosaicGrid)
minObject = gp.GetRasterProperties(mosaicGrid, "MINIMUM")
rasterMin = float(str(minObject.getoutput(0)))
except:
gp.AddWarning('\n------------------------------------------------')
gp.AddWarning(
'WARNING: Raster minimum check failed in step 5. \n'
'This may mean the output rasters are corrupted. Please \n'
'be sure to check for valid rasters in ' + outputGDB)
rasterMin = 0
tolerance = (float(gp.cellSize) * -10)
if rasterMin < tolerance:
lu.dashline(1)
msg = ('WARNING: Minimum value of mosaicked corridor map is '
'much less than zero (' + str(rasterMin) + ').'
'\nThis could mean that BOUNDING CIRCLE BUFFER DISTANCES '
'were too small and a corridor passed outside of a '
'bounding circle, or that a corridor passed outside of the '
'resistance map. \n')
gp.AddWarning(msg)
gprint('\nWriting final LCP maps...')
if cfg.STEP4:
finalLinkTable = lu.update_lcp_shapefile(linkTable,
lastStep=4,
thisStep=5)
elif cfg.STEP3:
finalLinkTable = lu.update_lcp_shapefile(linkTable,
lastStep=3,
thisStep=5)
else:
# Don't know if step 4 was run, since this is started at step 5.
# Use presence of previous linktable files to figure this out.
# Linktable name includes step number.
prevLinkTableFile = lu.get_prev_step_link_table(step=5)
prevStepInd = len(prevLinkTableFile) - 5
lastStep = prevLinkTableFile[prevStepInd]
finalLinkTable = lu.update_lcp_shapefile(linkTable,
lastStep,
thisStep=5)
outlinkTableFile = lu.get_this_step_link_table(step=5)
gprint('Updating ' + outlinkTableFile)
lu.write_link_table(linkTable, outlinkTableFile)
linkTableLogFile = path.join(cfg.LOGDIR, "linkTable_s5.csv")
lu.write_link_table(linkTable, linkTableLogFile)
linkTableFinalFile = path.join(cfg.OUTPUTDIR,
PREFIX + "_linkTable_s5.csv")
lu.write_link_table(finalLinkTable, linkTableFinalFile)
gprint('Copy of final linkTable written to ' + linkTableFinalFile)
gprint('Creating shapefiles with linework for links.')
try:
lu.write_link_maps(outlinkTableFile, step=5)
except:
lu.write_link_maps(outlinkTableFile, step=5)
# Create final linkmap files in output directory, and remove files from
# scratch.
lu.copy_final_link_maps(step=5)
if not SAVENORMLCCS:
lu.delete_dir(cfg.LCCBASEDIR)
# Build statistics for corridor rasters
gp.addmessage('\nBuilding output statistics and pyramids '
'for corridor raster')
lu.build_stats(intRaster)
if writeTruncRaster:
gp.addmessage('Building output statistics '
'for truncated corridor raster')
lu.build_stats(truncRaster)
# Return GEOPROCESSING specific errors
except arcgisscripting.ExecuteError:
lu.dashline(1)
gprint('****Failed in step 5. Details follow.****')
lu.exit_with_geoproc_error(_SCRIPT_NAME)
# Return any PYTHON or system specific errors
except:
lu.dashline(1)
gprint('****Failed in step 5. Details follow.****')
lu.exit_with_python_error(_SCRIPT_NAME)
return
def step6_calc_barriers():
"""Detect influential barriers given CWD calculations from Step 3."""
try:
arcpy.CheckOutExtension("spatial")
lu.dashline(0)
gprint('Running script ' + _SCRIPT_NAME)
if cfg.BARRIER_CWD_THRESH is not None:
lu.dashline(1)
gprint('Invoking CWD Threshold of ' + str(cfg.BARRIER_CWD_THRESH)
+ ' map units.')
if cfg.SUM_BARRIERS:
sum_suffix = '_Sum'
cfg.BARRIERBASEDIR = cfg.BARRIERBASEDIR + sum_suffix
base_name, extension = path.splitext(cfg.BARRIERGDB)
cfg.BARRIERGDB = base_name + sum_suffix + extension
gprint('\nBarrier scores will be SUMMED across core pairs.')
else:
sum_suffix = ''
if not arcpy.Exists(cfg.BARRIERGDB):
# Create output geodatabase
arcpy.CreateFileGDB_management(cfg.OUTPUTDIR,
path.basename(cfg.BARRIERGDB))
start_radius = int(cfg.STARTRADIUS)
end_radius = int(cfg.ENDRADIUS)
radius_step = int(cfg.RADIUSSTEP)
if radius_step == 0:
end_radius = start_radius # Calculate at just one radius value
radius_step = 1
link_table_file = lu.get_prev_step_link_table(step=6)
arcpy.env.workspace = cfg.SCRATCHDIR
arcpy.env.scratchWorkspace = cfg.ARCSCRATCHDIR
prefix = path.basename(cfg.PROJECTDIR)
# For speed:
arcpy.env.pyramid = "NONE"
arcpy.env.rasterStatistics = "NONE"
# set the analysis extent and cell size to that of the resistance
# surface
arcpy.env.extent = cfg.RESRAST
arcpy.env.cellSize = arcpy.Describe(cfg.RESRAST).MeanCellHeight
arcpy.env.snapRaster = cfg.RESRAST
spatialref = arcpy.Describe(cfg.RESRAST).spatialReference
map_units = (str(spatialref.linearUnitName)).lower()
if len(map_units) > 1 and map_units[-1] != 's':
map_units = map_units + 's'
if (float(arcpy.env.cellSize) > start_radius
or start_radius > end_radius):
msg = ('Error: minimum detection radius must be greater than '
'cell size (' + arcpy.env.cellSize +
') \nand less than or equal to maximum detection radius.')
lu.raise_error(msg)
link_table = lu.load_link_table(link_table_file)
num_links = link_table.shape[0]
num_corridor_links = lu.report_links(link_table)
if num_corridor_links == 0:
lu.dashline(1)
msg = '\nThere are no linkages. Bailing.'
lu.raise_error(msg)
# set up directories for barrier and barrier mosaic grids
gprint("Creating intermediate output folder: " + cfg.BARRIERBASEDIR)
lu.delete_dir(cfg.BARRIERBASEDIR)
lu.create_dir(cfg.BARRIERBASEDIR)
arcpy.CreateFolder_management(cfg.BARRIERBASEDIR, cfg.BARRIERDIR_NM)
cbarrierdir = path.join(cfg.BARRIERBASEDIR, cfg.BARRIERDIR_NM)
cores_to_process = npy.unique(
link_table[:, cfg.LTB_CORE1:cfg.LTB_CORE2 + 1])
max_core_num = max(cores_to_process)
# Set up focal directories.
# To keep there from being > 100 grids in any one directory,
# outputs are written to:
# barrier\focalX_ for cores 1-99 at radius X
# barrier\focalX_1 for cores 100-199
# etc.
lu.dashline(0)
for radius in range(start_radius, end_radius + 1, radius_step):
core1path = lu.get_focal_path(1, radius)
path1 = path.split(core1path)[0]
path2, dir2 = path.split(path1)
arcpy.CreateFolder_management(path.dirname(path2),
path.basename(path2))
arcpy.CreateFolder_management(path.dirname(path1),
path.basename(path1))
if max_core_num > 99:
gprint('Creating subdirectories for ' + str(radius) + ' ' +
str(map_units) + ' radius analysis scale.')
focal_dir_base_name = dir2
cp100 = cores_to_process.astype('int32') // 100
ind = npy.where(cp100 > 0)
dir_nums = npy.unique(cp100[ind])
for dir_num in dir_nums:
focal_dir = focal_dir_base_name + str(dir_num)
gprint('...' + focal_dir)
arcpy.CreateFolder_management(path2, focal_dir)
# Create resistance raster with filled-in Nodata values for later use
arcpy.env.extent = cfg.RESRAST
resist_fill_ras = path.join(cfg.SCRATCHDIR, "resist_fill")
output = arcpy.sa.Con(arcpy.sa.IsNull(cfg.RESRAST), 1000000000,
arcpy.sa.Raster(cfg.RESRAST) - 1)
output.save(resist_fill_ras)
core_list = link_table[:, cfg.LTB_CORE1:cfg.LTB_CORE2 + 1]
core_list = npy.sort(core_list)
# Loop through each search radius to calculate barriers in each link
rad_id = 0 # Keep track of no of radii processed - used for temp dir
for radius in range(start_radius, end_radius + 1, radius_step):
rad_id = rad_id + 1
link_table_tmp = link_table.copy()
@Retry(10)
# Can't pass vars in and modify them.
def do_radius_loop():
"""Do radius loop."""
link_table = link_table_tmp.copy()
start_time = time.clock()
link_loop = 0
pct_done = 0
gprint('\nMapping barriers at a radius of ' + str(radius) +
' ' + str(map_units))
if cfg.SUM_BARRIERS:
gprint('using SUM method')
else:
gprint('using MAXIMUM method')
if num_corridor_links > 1:
gprint('0 percent done')
last_mosaic_ras = None
last_mosaic_ras_pct = None
for x in range(0, num_links):
pct_done = lu.report_pct_done(
link_loop, num_corridor_links, pct_done)
if ((link_table[x, cfg.LTB_LINKTYPE] > 0) and
(link_table[x, cfg.LTB_LINKTYPE] < 1000)):
link_loop = link_loop + 1
# source and target cores
corex = int(core_list[x, 0])
corey = int(core_list[x, 1])
# Get cwd rasters for source and target cores
cwd_ras1 = lu.get_cwd_path(corex)
cwd_ras2 = lu.get_cwd_path(corey)
# Mask out areas above CWD threshold
cwd_tmp1 = None
cwd_tmp2 = None
if cfg.BARRIER_CWD_THRESH is not None:
if x == 1:
lu.dashline(1)
gprint(' Using CWD threshold of '
+ str(cfg.BARRIER_CWD_THRESH)
+ ' map units.')
arcpy.env.extent = cfg.RESRAST
arcpy.env.cellSize = cfg.RESRAST
arcpy.env.snapRaster = cfg.RESRAST
cwd_tmp1 = path.join(cfg.SCRATCHDIR,
"tmp" + str(corex))
out_con = arcpy.sa.Con(
cwd_ras1 < float(cfg.BARRIER_CWD_THRESH),
cwd_ras1)
out_con.save(cwd_tmp1)
cwd_ras1 = cwd_tmp1
cwd_tmp2 = path.join(cfg.SCRATCHDIR,
"tmp" + str(corey))
out_con = arcpy.sa.Con(
cwd_ras2 < float(cfg.BARRIER_CWD_THRESH),
cwd_ras2)
out_con.save(cwd_tmp2)
cwd_ras2 = cwd_tmp2
focal_ras1 = lu.get_focal_path(corex, radius)
focal_ras2 = lu.get_focal_path(corey, radius)
link = lu.get_links_from_core_pairs(link_table,
corex, corey)
lc_dist = float(link_table[link, cfg.LTB_CWDIST])
# Detect barriers at radius using neighborhood stats
# Create the Neighborhood Object
inner_radius = radius - 1
outer_radius = radius
dia = 2 * radius
in_neighborhood = ("ANNULUS " + str(inner_radius)
+ " " + str(outer_radius) + " MAP")
@Retry(10)
def exec_focal():
"""Execute focal statistics."""
if not path.exists(focal_ras1):
arcpy.env.extent = cwd_ras1
out_focal_stats = arcpy.sa.FocalStatistics(
cwd_ras1, in_neighborhood,
"MINIMUM", "DATA")
if SET_CORES_TO_NULL:
# Set areas overlapping cores to NoData xxx
out_focal_stats2 = arcpy.sa.Con(
out_focal_stats > 0, out_focal_stats)
out_focal_stats2.save(focal_ras1)
else:
out_focal_stats.save(focal_ras1)
arcpy.env.extent = cfg.RESRAST
if not path.exists(focal_ras2):
arcpy.env.extent = cwd_ras2
out_focal_stats = arcpy.sa.FocalStatistics(
cwd_ras2, in_neighborhood,
"MINIMUM", "DATA")
if SET_CORES_TO_NULL:
# Set areas overlapping cores to NoData xxx
out_focal_stats2 = arcpy.sa.Con(
out_focal_stats > 0, out_focal_stats)
out_focal_stats2.save(focal_ras2)
else:
out_focal_stats.save(focal_ras2)
arcpy.env.extent = cfg.RESRAST
exec_focal()
lu.delete_data(cwd_tmp1)
lu.delete_data(cwd_tmp2)
barrier_ras = path.join(
cbarrierdir, "b" + str(radius) + "_" + str(corex)
+ "_" + str(corey)+'.tif')
# Need to set nulls to 0,
# also create trim rasters as we go
if cfg.SUM_BARRIERS:
out_ras = ((lc_dist - arcpy.sa.Raster(focal_ras1) -
arcpy.sa.Raster(focal_ras2) - dia)
/ dia)
out_con = arcpy.sa.Con(arcpy.sa.IsNull(out_ras),
0, out_ras)
out_con2 = arcpy.sa.Con(out_con < 0, 0, out_con)
out_con2.save(barrier_ras)
# Execute FocalStatistics to fill out search radii
in_neighborhood = ("CIRCLE " + str(outer_radius)
+ " MAP")
fill_ras = path.join(
cbarrierdir, "b" + str(radius) + "_"
+ str(corex) + "_" + str(corey) + "_fill.tif")
out_focal_stats = arcpy.sa.FocalStatistics(
barrier_ras, in_neighborhood,
"MAXIMUM", "DATA")
out_focal_stats.save(fill_ras)
if cfg.WRITE_TRIM_RASTERS:
trm_ras = path.join(
cbarrierdir, "b" + str(radius) + "_"
+ str(corex) + "_" + str(corey)
+ "_trim.tif")
ras_list = [fill_ras, resist_fill_ras]
out_cell_statistics = arcpy.sa.CellStatistics(
ras_list, "MINIMUM")
out_cell_statistics.save(trm_ras)
else:
@Retry(10)
def clac_ben():
"""Calculate potential benefit.
Calculate potential benefit per map unit
restored.
"""
out_ras = (
(lc_dist - arcpy.sa.Raster(focal_ras1)
- arcpy.sa.Raster(focal_ras2) - dia)
/ dia)
out_ras.save(barrier_ras)
clac_ben()
if cfg.WRITE_PCT_RASTERS:
# Calculate % potential benefit per unit restored
barrier_ras_pct = path.join(
cbarrierdir, "b" + str(radius) + "_"
+ str(corex) + "_" + str(corey)
+ '_pct.tif')
@Retry(10)
def calc_ben_pct():
"""Calc benefit percentage."""
outras = (100 * (arcpy.sa.Raster(barrier_ras)
/ lc_dist))
outras.save(barrier_ras_pct)
calc_ben_pct()
# Mosaic barrier results across core area pairs
mosaic_dir = path.join(cfg.SCRATCHDIR, 'mos'
+ str(rad_id) + '_'
+ str(x + 1))
lu.create_dir(mosaic_dir)
mos_fn = 'mos_temp'
tmp_mosaic_ras = path.join(mosaic_dir, mos_fn)
tmp_mosaic_ras_trim = path.join(mosaic_dir,
'mos_temp_trm')
arcpy.env.workspace = mosaic_dir
if link_loop == 1:
last_mosaic_ras_trim = None
# For first grid copy rather than mosaic
arcpy.CopyRaster_management(barrier_ras,
tmp_mosaic_ras)
if cfg.SUM_BARRIERS and cfg.WRITE_TRIM_RASTERS:
arcpy.CopyRaster_management(
trm_ras, tmp_mosaic_ras_trim)
else:
if cfg.SUM_BARRIERS:
out_con = arcpy.sa.Con(
arcpy.sa.Raster(barrier_ras) < 0,
last_mosaic_ras,
arcpy.sa.Raster(barrier_ras)
+ arcpy.sa.Raster(last_mosaic_ras))
out_con.save(tmp_mosaic_ras)
if cfg.WRITE_TRIM_RASTERS:
out_con = arcpy.sa.Con(
arcpy.sa.Raster(trm_ras) < 0,
last_mosaic_ras_trim,
arcpy.sa.Raster(trm_ras)
+ arcpy.sa.Raster(last_mosaic_ras_trim)
)
out_con.save(tmp_mosaic_ras_trim)
else:
in_rasters = (";".join([barrier_ras,
last_mosaic_ras]))
@Retry(10)
def mosaic_to_new():
"""Mosaic to new raster."""
arcpy.MosaicToNewRaster_management(
input_rasters=in_rasters,
output_location=mosaic_dir,
raster_dataset_name_with_extension\
=mos_fn,
pixel_type="32_BIT_FLOAT",
cellsize=arcpy.env.cellSize,
number_of_bands="1",
mosaic_method="MAXIMUM")
mosaic_to_new()
if link_loop > 1: # Clean up from previous loop
lu.delete_data(last_mosaic_ras)
last_mosaic_dir = path.dirname(last_mosaic_ras)
lu.clean_out_workspace(last_mosaic_dir)
lu.delete_dir(last_mosaic_dir)
last_mosaic_ras = tmp_mosaic_ras
if cfg.WRITE_TRIM_RASTERS:
last_mosaic_ras_trim = tmp_mosaic_ras_trim
if cfg.WRITE_PCT_RASTERS:
mos_pct_fn = 'mos_temp_pct'
mosaic_dir_pct = path.join(cfg.SCRATCHDIR, 'mosP'
+ str(rad_id) + '_'
+ str(x+1))
lu.create_dir(mosaic_dir_pct)
tmp_mosaic_ras_pct = path.join(mosaic_dir_pct,
mos_pct_fn)
if link_loop == 1:
# If this is the first grid then copy
# rather than mosaic
if cfg.SUM_BARRIERS:
out_con = arcpy.sa.Con(
arcpy.sa.Raster(barrier_ras_pct)
< 0, 0,
arcpy.sa.Con(arcpy.sa.IsNull
(barrier_ras_pct),
0, barrier_ras_pct))
out_con.save(tmp_mosaic_ras_pct)
else:
arcpy.CopyRaster_management(
barrier_ras_pct, tmp_mosaic_ras_pct)
else:
if cfg.SUM_BARRIERS:
@Retry(10)
def sum_barriers():
"""Sum barriers."""
out_con = arcpy.sa.Con(
arcpy.sa.Raster(barrier_ras_pct)
< 0,
last_mosaic_ras_pct,
arcpy.sa.Raster(barrier_ras_pct)
+ arcpy.sa.Raster(
last_mosaic_ras_pct))
out_con.save(tmp_mosaic_ras_pct)
sum_barriers()
else:
in_rasters = (";".join([barrier_ras_pct,
last_mosaic_ras_pct]))
@Retry(10)
def max_barriers():
"""Get max barriers."""
arcpy.MosaicToNewRaster_management(
input_rasters=in_rasters,
output_location=mosaic_dir_pct,
raster_dataset_name_with_extension
=mos_pct_fn,
pixel_type="32_BIT_FLOAT",
cellsize=arcpy.env.cellSize,
number_of_bands="1",
mosaic_method="MAXIMUM")
max_barriers()
if link_loop > 1: # Clean up from previous loop
lu.delete_data(last_mosaic_ras_pct)
last_mosaic_dir_pct = path.dirname(
last_mosaic_ras_pct)
lu.clean_out_workspace(last_mosaic_dir_pct)
lu.delete_dir(last_mosaic_dir_pct)
last_mosaic_ras_pct = tmp_mosaic_ras_pct
if not cfg.SAVEBARRIERRASTERS:
lu.delete_data(barrier_ras)
if cfg.WRITE_PCT_RASTERS:
lu.delete_data(barrier_ras_pct)
if cfg.WRITE_TRIM_RASTERS:
lu.delete_data(trm_ras)
# Temporarily disable links in linktable -
# don't want to mosaic them twice
for y in range(x + 1, num_links):
corex1 = int(core_list[y, 0])
corey1 = int(core_list[y, 1])
if corex1 == corex and corey1 == corey:
link_table[y, cfg.LTB_LINKTYPE] = (
link_table[y, cfg.LTB_LINKTYPE] + 1000)
elif corex1 == corey and corey1 == corex:
link_table[y, cfg.LTB_LINKTYPE] = (
link_table[y, cfg.LTB_LINKTYPE] + 1000)
if num_corridor_links > 1 and pct_done < 100:
gprint('100 percent done')
gprint('Summarizing barrier data for search radius.')
# Rows that were temporarily disabled
rows = npy.where(link_table[:, cfg.LTB_LINKTYPE] > 1000)
link_table[rows, cfg.LTB_LINKTYPE] = (
link_table[rows, cfg.LTB_LINKTYPE] - 1000)
# -----------------------------------------------------------------
# Set negative values to null or zero and write geodatabase.
mosaic_fn = (prefix + "_BarrierCenters" + sum_suffix + "_Rad" +
str(radius))
mosaic_ras = path.join(cfg.BARRIERGDB, mosaic_fn)
arcpy.env.extent = cfg.RESRAST
out_set_null = arcpy.sa.SetNull(tmp_mosaic_ras,
tmp_mosaic_ras,
"VALUE < 0") # xxx orig
out_set_null.save(mosaic_ras)
lu.delete_data(tmp_mosaic_ras)
if cfg.SUM_BARRIERS and cfg.WRITE_TRIM_RASTERS:
mosaic_fn = (prefix + "_BarrierCircles_RBMin" + sum_suffix
+ "_Rad" + str(radius))
mosaic_ras_trim = path.join(cfg.BARRIERGDB, mosaic_fn)
arcpy.CopyRaster_management(tmp_mosaic_ras_trim,
mosaic_ras_trim)
lu.delete_data(tmp_mosaic_ras)
if cfg.WRITE_PCT_RASTERS:
# Do same for percent raster
mosaic_pct_fn = (prefix + "_BarrierCenters_Pct"
+ sum_suffix + "_Rad" + str(radius))
arcpy.env.extent = cfg.RESRAST
out_set_null = arcpy.sa.SetNull(tmp_mosaic_ras_pct,
tmp_mosaic_ras_pct,
"VALUE < 0")
mosaic_ras_pct = path.join(cfg.BARRIERGDB, mosaic_pct_fn)
out_set_null.save(mosaic_ras_pct)
lu.delete_data(tmp_mosaic_ras_pct)
# 'Grow out' maximum restoration gain to
# neighborhood size for display
in_neighborhood = "CIRCLE " + str(outer_radius) + " MAP"
# Execute FocalStatistics
fill_ras_fn = "barriers_fill" + str(outer_radius) + TIF
fill_ras = path.join(cfg.BARRIERBASEDIR, fill_ras_fn)
out_focal_stats = arcpy.sa.FocalStatistics(
mosaic_ras, in_neighborhood, "MAXIMUM", "DATA")
out_focal_stats.save(fill_ras)
if cfg.WRITE_PCT_RASTERS:
# Do same for percent raster
fill_ras_pct_fn = (
"barriers_fill_pct" + str(outer_radius) + TIF)
fill_ras_pct = path.join(cfg.BARRIERBASEDIR,
fill_ras_pct_fn)
out_focal_stats = arcpy.sa.FocalStatistics(
mosaic_ras_pct, in_neighborhood, "MAXIMUM", "DATA")
out_focal_stats.save(fill_ras_pct)
# Place copies of filled rasters in output geodatabase
arcpy.env.workspace = cfg.BARRIERGDB
fill_ras_fn = (prefix + "_BarrrierCircles" + sum_suffix
+ "_Rad" + str(outer_radius))
arcpy.CopyRaster_management(fill_ras, fill_ras_fn)
if cfg.WRITE_PCT_RASTERS:
fill_ras_pct_fn = (prefix + "_BarrrierCircles_Pct"
+ sum_suffix + "_Rad"
+ str(outer_radius))
arcpy.CopyRaster_management(fill_ras_pct,
fill_ras_pct_fn)
if not cfg.SUM_BARRIERS and cfg.WRITE_TRIM_RASTERS:
# Create pared-down version of filled raster- remove pixels
# that don't need restoring by allowing a pixel to only
# contribute its resistance value to restoration gain
out_ras_fn = "barriers_trm" + str(outer_radius) + TIF
out_ras = path.join(cfg.BARRIERBASEDIR, out_ras_fn)
ras_list = [fill_ras, resist_fill_ras]
out_cell_statistics = arcpy.sa.CellStatistics(ras_list,
"MINIMUM")
out_cell_statistics.save(out_ras)
# SECOND ROUND TO CLIP BY DATA VALUES IN BARRIER RASTER
out_ras_2fn = ("barriers_trm" + sum_suffix
+ str(outer_radius) + "_2" + TIF)
out_ras2 = path.join(cfg.BARRIERBASEDIR, out_ras_2fn)
output = arcpy.sa.Con(arcpy.sa.IsNull(fill_ras),
fill_ras, out_ras)
output.save(out_ras2)
out_ras_fn = (prefix + "_BarrierCircles_RBMin"
+ sum_suffix + "_Rad"
+ str(outer_radius))
arcpy.CopyRaster_management(out_ras2, out_ras_fn)
start_time = lu.elapsed_time(start_time)
# Call the above function
do_radius_loop()
# Combine rasters across radii
gprint('\nCreating summary rasters...')
if start_radius != end_radius:
radii_suffix = ('_Rad' + str(int(start_radius)) + 'To'
+ str(int(end_radius)) + 'Step'
+ str(int(radius_step)))
mosaic_fn = "bar_radii"
mosaic_pct_fn = "bar_radii_pct"
arcpy.env.workspace = cfg.BARRIERBASEDIR
for radius in range(start_radius, end_radius + 1, radius_step):
# Fixme: run speed test with gdb mosaicking above and here
radius_fn = (prefix + "_BarrierCenters" + sum_suffix + "_Rad"
+ str(radius))
radius_ras = path.join(cfg.BARRIERGDB, radius_fn)
if radius == start_radius:
# If this is the first grid then copy rather than mosaic
arcpy.CopyRaster_management(radius_ras, mosaic_fn)
else:
mosaic_ras = path.join(cfg.BARRIERBASEDIR, mosaic_fn)
arcpy.Mosaic_management(radius_ras, mosaic_ras,
"MAXIMUM", "MATCH")
if cfg.WRITE_PCT_RASTERS:
radius_pct_fn = (prefix + "_BarrierCenters_Pct"
+ sum_suffix + "_Rad" + str(radius))
radius_ras_pct = path.join(cfg.BARRIERGDB, radius_pct_fn)
if radius == start_radius:
# If this is the first grid then copy rather than
# mosaic
arcpy.CopyRaster_management(radius_ras_pct,
mosaic_pct_fn)
else:
mosaic_ras_pct = path.join(cfg.BARRIERBASEDIR,
mosaic_pct_fn)
arcpy.Mosaic_management(radius_ras_pct,
mosaic_ras_pct,
"MAXIMUM", "MATCH")
# Copy results to output geodatabase
arcpy.env.workspace = cfg.BARRIERGDB
mosaic_fn = prefix + "_BarrierCenters" + sum_suffix + radii_suffix
arcpy.CopyRaster_management(mosaic_ras, mosaic_fn)
if cfg.WRITE_PCT_RASTERS:
mosaic_pct_fn = (prefix + "_BarrierCenters_Pct" + sum_suffix +
radii_suffix)
arcpy.CopyRaster_management(mosaic_ras_pct, mosaic_pct_fn)
# GROWN OUT rasters
fill_mosaic_fn = "barriers_radii_fill" + TIF
fill_mosaic_pct_fn = "barriers_radii_fill_pct" + TIF
fill_mosaic_ras = path.join(cfg.BARRIERBASEDIR, fill_mosaic_fn)
trim_mosaic_ras_pct = path.join(cfg.BARRIERBASEDIR,
fill_mosaic_pct_fn)
arcpy.env.workspace = cfg.BARRIERBASEDIR
for radius in range(start_radius, end_radius + 1, radius_step):
radius_fn = "barriers_fill" + str(radius) + TIF
# fixme- do this when only a single radius too
radius_ras = path.join(cfg.BARRIERBASEDIR, radius_fn)
if radius == start_radius:
# If this is the first grid then copy rather than mosaic
arcpy.CopyRaster_management(radius_ras, fill_mosaic_fn)
else:
arcpy.Mosaic_management(radius_ras, fill_mosaic_ras,
"MAXIMUM", "MATCH")
if cfg.WRITE_PCT_RASTERS:
radius_pct_fn = "barriers_fill_pct" + str(radius) + TIF
# fixme- do this when only a single radius too
radius_ras_pct = path.join(cfg.BARRIERBASEDIR,
radius_pct_fn)
if radius == start_radius:
# For first grid copy rather than mosaic
arcpy.CopyRaster_management(radius_ras_pct,
fill_mosaic_pct_fn)
else:
arcpy.Mosaic_management(radius_ras_pct,
trim_mosaic_ras_pct,
"MAXIMUM", "MATCH")
# Copy result to output geodatabase
arcpy.env.workspace = cfg.BARRIERGDB
fill_mosaic_fn = (prefix + "_BarrierCircles" + sum_suffix
+ radii_suffix)
arcpy.CopyRaster_management(fill_mosaic_ras, fill_mosaic_fn)
if cfg.WRITE_PCT_RASTERS:
fill_mosaic_pct_fn = (prefix + "_BarrierCircles_Pct"
+ sum_suffix + radii_suffix)
arcpy.CopyRaster_management(trim_mosaic_ras_pct,
fill_mosaic_pct_fn)
# GROWN OUT AND TRIMMED rasters (Can't do percent)
if cfg.WRITE_TRIM_RASTERS:
trim_mosaic_fn = "bar_radii_trm"
arcpy.env.workspace = cfg.BARRIERBASEDIR
trim_mosaic_ras = path.join(cfg.BARRIERBASEDIR, trim_mosaic_fn)
for radius in range(start_radius, end_radius + 1, radius_step):
radius_fn = (prefix + "_BarrierCircles_RBMin" + sum_suffix
+ "_Rad" + str(radius))
# fixme- do this when only a single radius too
radius_ras = path.join(cfg.BARRIERGDB, radius_fn)
if radius == start_radius:
# For first grid copy rather than mosaic
arcpy.CopyRaster_management(radius_ras, trim_mosaic_fn)
else:
arcpy.Mosaic_management(radius_ras, trim_mosaic_ras,
"MAXIMUM", "MATCH")
# Copy result to output geodatabase
arcpy.env.workspace = cfg.BARRIERGDB
trim_mosaic_fn = (prefix + "_BarrierCircles_RBMin" + sum_suffix
+ radii_suffix)
arcpy.CopyRaster_management(trim_mosaic_ras, trim_mosaic_fn)
if not cfg.SAVE_RADIUS_RASTERS:
arcpy.env.workspace = cfg.BARRIERGDB
rasters = arcpy.ListRasters()
for raster in rasters:
if 'rad' in raster.lower() and 'step' not in raster.lower():
lu.delete_data(raster)
arcpy.env.workspace = cfg.BARRIERGDB
rasters = arcpy.ListRasters()
for raster in rasters:
gprint('\nBuilding output statistics and pyramids\n'
'for raster ' + raster)
lu.build_stats(raster)
# Clean up temporary files and directories
if not cfg.SAVEBARRIERRASTERS:
lu.delete_dir(cbarrierdir)
lu.delete_dir(cfg.BARRIERBASEDIR)
if not cfg.SAVEFOCALRASTERS:
for radius in range(start_radius, end_radius + 1, radius_step):
core1path = lu.get_focal_path(1, radius)
path1 = path.split(core1path)[0]
path2 = path.split(path1)[0]
lu.delete_dir(path2)
# Return GEOPROCESSING specific errors
except arcpy.ExecuteError:
lu.dashline(1)
gprint('****Failed in step 6. Details follow.****')
lu.exit_with_geoproc_error(_SCRIPT_NAME)
# Return any PYTHON or system specific errors
except Exception:
lu.dashline(1)
gprint('****Failed in step 6. Details follow.****')
lu.exit_with_python_error(_SCRIPT_NAME)
return
