def macierzeRastrowe(x):
if x == "wilgObjRaster":
wilgObjRaster = "wilgObjRaster"
arcpy.FeatureToRaster_conversion(wydzieleniaShp, wilgObjField,
wilgObjRaster, cellsize)
return wilgObjRaster
elif x == "wskInfEfRaster":
wskInfEfRaster = "wskInfEfRaster"
arcpy.FeatureToRaster_conversion(wydzieleniaShp, wskInfEfField,
wskInfEfRaster, cellsize)
return wskInfEfRaster
elif x == "wspolFiltrRaster":
wspolFiltrRaster = "wspolFiltrRaster"
arcpy.FeatureToRaster_conversion(wydzieleniaShp, wspolFiltrField,
wspolFiltrRaster, cellsize)
return wspolFiltrRaster
else:
porowEfekRaster = "porowEfekRaster"
arcpy.FeatureToRaster_conversion(wydzieleniaShp, porowEfekField,
porowEfekRaster, cellsize)
return porowEfekRaster
def exportInventory(self, inventory_raster_out, resolution):
pp = self.ProgressPrinter.newProcess(inspect.stack()[0][3], 1, 1).start()
print "\tExporting inventory to raster..."
arcpy.env.overwriteOutput = True
classifier_names = self.inventory.getClassifiers()
fields = {
"age": self.inventory.getFieldNames()["age"],
"species": self.inventory.getFieldNames()["species"]
# "ownership": self.inventory.getFieldNames()["ownership"],
# "FMLB": self.inventory.getFieldNames()["FMLB"],
# "THLB": self.inventory.getFieldNames()["THLB"]
}
for classifier_name in classifier_names:
field_name = self.inventory.getClassifierAttr(classifier_name)
file_path = os.path.join(inventory_raster_out, "{}.tif".format(classifier_name))
arcpy.FeatureToRaster_conversion("inventory_gridded", field_name, file_path, resolution)
self.inventory.addRaster(file_path, classifier_name, self.createAttributeTable(
os.path.join(os.path.dirname(file_path), "{}.tif.vat.dbf".format(classifier_name)), field_name))
# arcpy.DeleteField_management(file_path, field_name)
for attr in fields:
field_name = fields[attr]
file_path = os.path.join(inventory_raster_out,"{}.tif".format(attr))
arcpy.FeatureToRaster_conversion("inventory_gridded", field_name, file_path, resolution)
self.inventory.addRaster(file_path, attr, self.createAttributeTable(
os.path.join(os.path.dirname(file_path), "{}.tif.vat.dbf".format(attr)), field_name))
# arcpy.DeleteField_management(file_path, field_name)
pp.finish()
def exposure(in_property_layer,nearby_properties_layer,ocean_layer):
print "\t...commencing raster processing..."
try:
cellsize = 10
# remap objects for the reclassifications
combined_remap = RemapValue([["NODATA", 0],
[-1, 0],
[0, 0],
[10, 10],
[11, 10],
[200, 1]])
euc_dir_remap = RemapRange([[-1, -1, 0],
[-1, 22.5, 1],
[22.5, 67.5, 2],
[67.5, 112.5, 3],
[112.5, 157.5, 4],
[157.5, 202.5, 5],
[202.5, 247.5, 6],
[247.5, 292.5, 7],
[292.5, 337.5, 8],
[337.5, 360, 1]])
# generate land_ocean raster
arcpy.FeatureToRaster_conversion(ocean_layer, "HY_CS_CODE", "_ocean", cellsize)
land_ocean = Reclassify("_ocean", "VALUE", combined_remap)
# create surface from nearby property points
arcpy.FeatureToRaster_conversion(nearby_properties_layer, offset_fieldname,
"point_heights", cellsize)
vis_surface = Reclassify("point_heights", "VALUE", combined_remap, "DATA")
# Apparently we have to save the input FC to disk now.
# This adds a whole second to the processing =\
arcpy.FeatureClassToFeatureClass_conversion(in_property_layer,
r"C:\ExposureDetection\scratch", "inprop.shp")
# Do the viewshed & find visible ocean
viewshed = Viewshed(vis_surface, r"C:\ExposureDetection\scratch\inprop.shp")
visible_ocean = (land_ocean == 1) & (viewshed > 0)
# Euclidean direction & classify into zones
euc_dir = EucDirection(in_property_layer,analysis_distance)
euc_zones = Reclassify(euc_dir, "VALUE", euc_dir_remap, "DATA")
# Do the stats
print "\t...calculating statistics..."
ZonalStatisticsAsTable(euc_zones, "VALUE", visible_ocean, "zStats")
# Now go off and get the deets from that table.
return getExposureResults("zStats")
except ExecuteError as e:
print " Raster processing failed! ".center(79,"=")
print "Error was:", e
# Return null values for failed rows.
return (None, ) * 8
def RastToShp(rastinfile, year_day, flag):
"""Creates the output extent to be used in the rest of the script. Allows all images to be snapped to
a constant grid, for direct matrix to matrix comparison"""
if flag == 'N':
arcrast = TMP + year_day + "_recasttif.tif"
tmptif = arcpy.Raster(rastinfile)
tmptif.save(arcrast) #This step can be necessary for Arc tools to work properly on .tif files
arcpy.CalculateStatistics_management(arcrast)
if flag == 'Y':
arcrast = TMP + year_day + "_recasttif.tif"
arcpy.CopyRaster_management(rastinfile, arcrast, '', '-9999', '-9999')
arcpy.env.extent = arcrast
clipshp_tmp = TMP + year_day + "_clipshp_tmp.shp"
EXT_data = arcpy.sa.Con(arcrast, 1, 0, '"Value" > 0') #Choose only areas with data
tmp_ext = TMP + year_day + "_clipshp_con.tif"
EXT_data.save(tmp_ext)
del EXT_data
arcpy.RasterToPolygon_conversion(tmp_ext, clipshp_tmp, "NO_SIMPLIFY", "Value") #Convert to Shpfile
clipshp = TMP + year_day + "_ext.shp"
clipshp_tmp2 = TMP + year_day + "_ext_tmp2.shp"
arcpy.Select_analysis(clipshp_tmp, clipshp_tmp2, '"GRIDCODE" = 1')
arcpy.Buffer_analysis(clipshp_tmp2, clipshp, "-2 Kilometers") #Negative buffer to remove edge effects
cliprast = TMP + year_day + '_ext_tif.tif'
arcpy.FeatureToRaster_conversion(clipshp, "GRIDCODE", cliprast, 30) #Convert back to TIF file to use as output extent
arcpy.Delete_management(clipshp)
arcpy.Delete_management(clipshp_tmp)
arcpy.Delete_management(clipshp_tmp2)
arcpy.Delete_management(tmp_ext)
return cliprast, arcrast
def rasterize(indir, outdir, season):
output_data = outdir + "\\" + season + ".tif"
input_data = indir + '\\' + season + ".shp"
#Output_variance_of_prediction_raster=""
#arcpy.gp.Kriging_sa(input_data, "Max_NDVI", output_data, "Spherical 0.000001", "1.0", "VARIABLE 12", Output_variance_of_prediction_raster)
arcpy.FeatureToRaster_conversion(input_data, "date", output_data, "10.0")
def runFeatToRast(tracts, projectGDBPath):
#
print("\nGenerating cancer rate raster...")
# Set environment settings
arcpy.env.workspace = r"C:\Users\rkpalmerjr\Documents\School\WISC\Fall_2019\GEOG_777_Capstone_in_GIS_Development\Project_1\TESTING\Test_1\Scratch"
dataFolder = r"C:\Users\rkpalmerjr\Documents\School\WISC\Fall_2019\GEOG_777_Capstone_in_GIS_Development\Project_1\GEOG777_Project_1_Nitrate_Cancer\Data"
# Set local variables for Feature to Raster
inFeatures = os.path.join(dataFolder, tracts)
field = "canrate"
canrateRaster = os.path.join(projectGDBPath, "canrate")
# cellSize =
# Execute Feature to Raster
arcpy.FeatureToRaster_conversion(inFeatures, field, canrateRaster, "")
# Delete local variables
del dataFolder, inFeatures, field
#
print("\nCancer rate raster generated.")
# Return canrateRaster to global scope
return canrateRaster
def features_to_raster(feature_class,
outfile,
field,
template=None,
transform_method=None,
where=''):
'''convert a feature-class to a raster-file
template : str, optional
full path to template raster, outfput file will get same projection and
raster size
'''
proj_tmp = join(arcpy.env.scratchGDB, 'proj_tmp')
where_tmp = join(arcpy.env.scratchGDB, 'where_tmp')
arcpy.Delete_management(where_tmp)
arcpy.Delete_management(proj_tmp)
in_features = arcpy.FeatureClassToFeatureClass_conversion(
feature_class, *split(where_tmp), where_clause=where)
if template:
desc = arcpy.Describe(template)
sr = desc.spatialReference
in_features = arcpy.Project_management(
in_features, proj_tmp, sr, transform_method=transform_method)
arcpy.FeatureToRaster_conversion(in_features,
field,
outfile,
cell_size=template)
arcpy.Delete_management(where_tmp)
arcpy.Delete_management(proj_tmp)
return outfile
def runFeatToRast(tracts, projectGDBPath):
#
arcpy.AddMessage("\nGenerating cancer rate raster...")
# Set local variables for Feature to Raster
inFeatures = tracts
field = "canrate"
canrateRasterPath = os.path.join(projectGDBPath, "canrateRaster")
# cellSize =
# Execute Feature to Raster
arcpy.FeatureToRaster_conversion(inFeatures, field, canrateRasterPath, "")
# Get Feature to Raster Messages
arcpy.AddMessage("\n" + arcpy.GetMessages())
# Create a raster layer to add to the MXD
canrateRasterLyr = arcpy.MakeRasterLayer_management(
canrateRasterPath, "canrateRaster")
# Add the output to the MXD
arcpy.SetParameterAsText(6, canrateRasterLyr)
#
arcpy.AddMessage("\nCancer rate raster generated:\n" + canrateRasterPath)
# Delete local variables
del inFeatures, field, canrateRasterPath
# Return canrateRaster to global scope
return canrateRasterLyr
def create_cost_layer(folder, dem_raster, shapefile, out_raster_file,
buffer_m):
#setup folder for temporary results
#get cellsize and spatial reference for new raster
sp = dem_raster.spatialReference
cellSize = dem_raster.meanCellWidth
#reproject it to same projection as dem
vectorFile = os.path.join(folder, shapefile)
vectorFileProj = os.path.join(temp, "projected_" + shapefile)
arcpy.Project_management(vectorFile, vectorFileProj, sp)
#get buffer
bufferFile = os.path.join(temp, "buffer_" + shapefile)
arcpy.Buffer_analysis(vectorFileProj, bufferFile,
str(buffer_m) + " meters")
arcpy.AddMessage("buffer done!")
#feature to raster
rasterFile = os.path.join(temp,
"raster_" + shapefile.strip(".shp") + ".tif")
arcpy.FeatureToRaster_conversion(bufferFile, "BUFF_DIST", rasterFile,
cellSize)
arcpy.AddMessage("feature to raster done!")
#reclassify to a raster with [0, 1]
raster = arcpy.sa.Raster(rasterFile)
cost_raster = arcpy.sa.Con(arcpy.sa.IsNull(raster), 0, 1)
costFile1 = os.path.join(temp, out_raster_file)
cost_raster.save(costFile1)
arcpy.AddMessage("reclassify " + shapefile + " done!")
def shp_to_raster(workspace, excel, shp, c_field, save_path):
arcpy.env.workspace = workspace
if arcpy.Exists("temp.shp"):
arcpy.Delete_management("temp.shp")
work_book = xlrd.open_workbook(excel)
sheet = work_book.sheet_by_index(0)
for x in range(0, sheet.nrows, 3):
desc = arcpy.Describe(shp)
spatial_reference = desc.spatialReference
arcpy.CreateFeatureclass_management(workspace, "temp.shp", "POLYGON", shp, "DISABLED", "DISABLED",
spatial_reference)
fields = ["FID", "JUDGE_CLAS", "SHAPE@"]
values = []
file_name = sheet.cell(x, 4).value
where_clause = """"file_name" = '""" + file_name.replace("tif", "shp") + "'"
cursor = arcpy.SearchCursor(shp, where_clause)
for row in cursor:
values.append([row.FID, row.JUDGE_CLAS, row.Shape])
print (file_name)
insert_cursor = arcpy.da.InsertCursor("temp.shp", fields)
for insert_row in values:
insert_cursor.insertRow(insert_row)
del insert_cursor
arcpy.FeatureToRaster_conversion("temp.shp", c_field, save_path+"/"+file_name.replace("shp", "tif"), 0.6)
# update_cursor = arcpy.da.UpdateCursor("temp.shp", fields)
# for _ in update_cursor:
# update_cursor.deleteRow()
# del update_cursor
arcpy.Delete_management("temp.shp")
def featureToRaster(inFeature, outRaster, cellSize, field):
raster_naturales = arcpy.FeatureToRaster_conversion(
inFeature,
field,
outRaster,
cellSize,
)
def cc_copy_inputs():
"""Clip Climate Linkage Mapper inputs to smallest extent."""
lm_util.gprint("\nCOPYING LAYERS AND, IF NECESSARY, REDUCING EXTENT")
ext_poly = "ext_poly" # Extent polygon
climate_extent = arcpy.Raster(cc_env.climate_rast).extent
if cc_env.resist_rast is not None:
resist_extent = arcpy.Raster(cc_env.resist_rast).extent
xmin = max(climate_extent.XMin, resist_extent.XMin)
ymin = max(climate_extent.YMin, resist_extent.YMin)
xmax = min(climate_extent.XMax, resist_extent.XMax)
ymax = min(climate_extent.YMax, resist_extent.YMax)
# Set to minimum extent if resistance raster was given
arcpy.env.extent = arcpy.Extent(xmin, ymin, xmax, ymax)
# Want climate and resistance rasters in same spatial ref
# with same nodata cells
proj_resist_rast = arcpy.sa.Con(arcpy.sa.IsNull(cc_env.climate_rast),
arcpy.sa.Int(cc_env.climate_rast),
cc_env.resist_rast)
proj_resist_rast.save(cc_env.prj_resist_rast)
else:
xmin = climate_extent.XMin
ymin = climate_extent.YMin
xmax = climate_extent.XMax
ymax = climate_extent.YMax
ones_resist_rast = arcpy.sa.Con(arcpy.sa.IsNull(cc_env.climate_rast),
arcpy.sa.Int(cc_env.climate_rast), 1)
ones_resist_rast.save(cc_env.prj_resist_rast)
arcpy.CopyRaster_management(cc_env.climate_rast, cc_env.prj_climate_rast)
# Create core raster
arcpy.env.extent = arcpy.Extent(xmin, ymin, xmax, ymax)
lm_util.delete_data(cc_env.prj_core_rast)
arcpy.FeatureToRaster_conversion(
cc_env.core_fc, cc_env.core_fld, cc_env.prj_core_rast,
arcpy.Describe(cc_env.climate_rast).MeanCellHeight)
arcpy.env.extent = None
# Create array of boundary points
array = arcpy.Array()
pnt = arcpy.Point(xmin, ymin)
array.add(pnt)
pnt = arcpy.Point(xmax, ymin)
array.add(pnt)
pnt = arcpy.Point(xmax, ymax)
array.add(pnt)
pnt = arcpy.Point(xmin, ymax)
array.add(pnt)
# Add in the first point of the array again to close polygon boundary
array.add(array.getObject(0))
# Create a polygon geometry object using the array object
ext_feat = arcpy.Polygon(array)
arcpy.CopyFeatures_management(ext_feat, ext_poly)
# Clip core feature class
arcpy.Clip_analysis(cc_env.core_fc, ext_poly, cc_env.prj_core_fc)
def soil_clip_analysis(soil_BNG, Soil_type, DTM_cell_size, buffer_catchment,
buffer_extent, river_catchment_BNG, catch_extent):
# Check the soil type
desc_soil = arcpy.Describe(soil_BNG)
soil_raster_feature = desc_soil.datasetType
arcpy.AddMessage("The soil is a " + soil_raster_feature)
if soil_raster_feature == 'FeatureClass':
soil_clip = arcpy.Clip_analysis(soil_BNG, river_catchment_BNG)
if Soil_type == 'UK HOST':
arcpy.AddMessage("UK HOST soil data selected")
soil_clipped = arcpy.FeatureToRaster_conversion(
soil_clip, "HOST", "Temp7", DTM_cell_size)
soil_clip_raster = arcpy.Clip_management(soil_clipped,
catch_extent,
"MODEL_Soil_HOST",
river_catchment_BNG, "#",
"ClippingGeometry")
#soil_clip_raster = arcpy.gp.ExtractByMask_sa(soil_clipped, river_catchment_BNG, "MODEL_Soil_HOST")
elif Soil_type == 'FAO':
arcpy.AddMessage("FAO soil data selected")
soil_clipped = arcpy.FeatureToRaster_conversion(
soil_BNG, "SNUM", "Temp8", DTM_cell_size)
soil_clip_raster = arcpy.gp.ExtractByMask_sa(
soil_clipped, river_catchment_polygon, "MODEL_Soil_FAO")
#soil_clip_raster = arcpy.Clip_management(Soil_clip, extent, "MODEL_Soil_FAO", River_catchment_poly, "#", "ClippingGeometry")
else:
if Soil_type == 'UK HOST':
Soil_clip = arcpy.Clip_management(soil_BNG, catch_extent,
"MODEL_Soil_HOST",
river_catchment_BNG, "#",
"ClippingGeometry")
elif Soil_type == 'FAO':
Soil_clip = arcpy.Clip_management(soil_BNG, catch_extent,
"MODEL_Soil_FAO",
river_catchment_BNG, "#",
"ClippingGeometry")
arcpy.AddMessage("Soil clipped to catchment")
arcpy.AddMessage("-------------------------")
def __convert_hydro_to_raster(self, input_features, input_field,
output_raster, cell_size):
arcpy.AddMessage('Converting hydrography to raster surface...')
arcpy.FeatureToRaster_conversion(in_features=input_features,
field=input_field,
out_raster=output_raster,
cell_size=cell_size)
return output_raster
def convertProposedToRasterDebit(ProposedSurfaceDisturbance, cellSize):
arcpy.AddMessage("Preparing Proposed Surface Disturbance for processing")
# Check feature type of provided feature class
desc = arcpy.Describe(ProposedSurfaceDisturbance)
# Make feature layer of proposed surface disturbance
features = arcpy.MakeFeatureLayer_management(ProposedSurfaceDisturbance, "lyr")
# Generate list of unique subtypes in Proposed_Surface_Disturbance
uniqueProposedSubtypes = list(set([row[0] for row in arcpy.da.SearchCursor(
ProposedSurfaceDisturbance, "Subtype")]))
arcpy.AddMessage("Proposed Surface Disturbance contains "
+ str(uniqueProposedSubtypes))
for subtype in uniqueProposedSubtypes:
# Select features of specified subtype
field = "Subtype"
where_clause = """{} = '{}'""".format(arcpy.AddFieldDelimiters
(features, field), subtype)
arcpy.SelectLayerByAttribute_management(features,
"NEW_SELECTION",
where_clause)
# Count features selected to ensure >0 feature selected
test = arcpy.GetCount_management(features)
count = int(test.getOutput(0))
# Convert to raster
if count > 0:
in_features = features
value_field = "Weight"
out_rasterdataset = os.path.join("Proposed_" + subtype)
cell_assignment = "MAXIMUM_AREA"
priority_field = "Weight"
if desc.shapeType == "Polygon":
arcpy.PolygonToRaster_conversion(in_features,
value_field,
out_rasterdataset,
cell_assignment,
priority_field,
cellSize)
else: # Consider changing to buffer of ? meters
arcpy.FeatureToRaster_conversion(in_features,
value_field,
out_rasterdataset,
cellSize)
# Clear selected features
arcpy.SelectLayerByAttribute_management(features,
"CLEAR_SELECTION")
return uniqueProposedSubtypes
def shp2raster(input_shp, field, snapraster, outpath):
print("Start " + input_shp)
arcpy.env.snapRaster = snapraster
arcpy.env.cellSize = snapraster
arcpy.env.extent = snapraster
arcpy.env.outputCoordinateSystem = snapraster
# Execute FeatureToRaster
arcpy.FeatureToRaster_conversion(input_shp, field, outpath)
print(outpath + " had been rasterized!")
return
def wall():
arcpy.env.workspace = nhd
arcpy.env.compression = "NONE"
arcpy.env.snapRaster = huc6mosaic
arcpy.env.cellSize = "10"
albers = arcpy.SpatialReference()
albers.factoryCode = 102039
albers.create()
NAD83 = arcpy.SpatialReference()
NAD83.factoryCode = "4269"
NAD83.create()
arcpy.env.overwriteOutput = "TRUE"
# Project HUC12 and Flowlines to USGS Albers then select the local HUC8s
arcpy.Project_management("WBD_HU8", "huc8albers", albers, "", NAD83)
arcpy.CopyFeatures_management("NHDFlowline", "Flowline")
arcpy.Project_management("Flowline", "flowlinealbers", albers, "", NAD83)
arcpy.AddMessage("Projected HUC8s and Flowlines to Albers.")
# Select out Subregion's HUC8s to fc "WBD_HU8_Local"
arcpy.MakeFeatureLayer_management("huc8albers", "huc8", "", nhd)
arcpy.MakeFeatureLayer_management("flowlinealbers", "flowline_layer", "",
nhd)
arcpy.SelectLayerByLocation_management("huc8", "INTERSECT",
"flowline_layer")
arcpy.CopyFeatures_management("huc8", "WBD_HU8_Local")
arcpy.AddMessage("Selected local HUC8s.")
# Convert to lines and add a field to local HUC8s for wall height
arcpy.PolygonToLine_management("WBD_HU8_Local", "WallLines")
arcpy.AddField_management("WallLines", "WallHeight", "DOUBLE", "", "", "7")
arcpy.CalculateField_management("WallLines", "WallHeight", hgt, "PYTHON")
# Convert wall lines to raster
arcpy.FeatureToRaster_conversion("WallLines", "WallHeight",
outfolder + "\\" + "Walls.tif")
walls = os.path.join(outfolder, "Walls.tif")
subregion_number = os.path.basename(nhd)
nhdsubregion = subregion_number[4:8]
# Add rasters together
arcpy.env.workspace = infolder
rasters = arcpy.ListRasters("NED*")
for raster in rasters:
arcpy.env.extent = raster
wallsObject = Raster(walls)
elevObject = Raster(raster)
walled_ned = Con(IsNull(wallsObject), elevObject,
(wallsObject + elevObject))
walled_ned.save(os.path.join(outfolder, os.path.basename(raster)))
return
def getImperv(inShpPath, inlandUsePath, indexField, weights):
# Process Path
if not os.path.exists('Process'):
os.makedirs('Process')
processPath = "./Process/"
# Process Data Path
outShpTempPath = processPath + "subcaTemp.shp"
outLandTempPath = processPath + "landTemp.shp"
outLandRasterPath = processPath + "landUseRaster"
outTablePath = processPath + "impervTable.dbf"
# Output Path
if not os.path.exists('Result'):
os.makedirs('Result')
# Output Data Path
outShpPath = "./Result/subcatchments.shp"
# Execute CopyFeatures
arcpy.CopyFeatures_management(inShpPath, outShpTempPath)
arcpy.CopyFeatures_management(inlandUsePath, outLandTempPath)
# Check out the ArcGIS Spatial Analyst extension license
arcpy.CheckExtension("Spatial")
# Execute AddField
arcpy.AddField_management(outLandTempPath, "Weight", "DOUBLE", "", "", "",
"weight", "NULLABLE", "NON_REQUIRED", "")
# Calculate Weight
codeBlock = """
def getWeight(type, weights):
return weights[type]"""
expression = "getWeight( !category! ," + json.dumps(weights) + ")"
arcpy.CalculateField_management(outLandTempPath, "Weight", expression,
"PYTHON", codeBlock)
# Execute FeatureToRaster
arcpy.FeatureToRaster_conversion(outLandTempPath, "Weight",
outLandRasterPath, 5)
# Execute ZonalStatisticsAsTable
outImperv = ZonalStatisticsAsTable(outShpTempPath, indexField,
outLandRasterPath, outTablePath,
"NODATA", "MEAN")
# Execute AddField
arcpy.AddField_management(outShpTempPath, "Imperv", "DOUBLE", "", "", "",
"imperv", "NULLABLE", "NON_REQUIRED", "")
# Create a feature layer
layerName = "subcaShp"
arcpy.MakeFeatureLayer_management(outShpTempPath, layerName)
# Join the feature layer to a table
arcpy.AddJoin_management(layerName, indexField, outImperv, indexField)
# Calculate Slope
arcpy.CalculateField_management(layerName, "Imperv", "!impervTable.MEAN!",
"PYTHON")
# Remove the join
arcpy.RemoveJoin_management(layerName, "impervTable")
# Copy the layer to a new permanent feature class
arcpy.CopyFeatures_management(layerName, outShpPath)
return outShpPath
def shp2raster(year):
# Set environment settings
env.workspace = "F:/NEW(1)/Feature"
indicators = ["IJI", "PAFRAC", "DIVISION", "CONTAG", "SHEI", "SHDI"]
# Set local variables
inFeature = year + ".shp"
for indicator in indicators:
outRaster = "F:/NEW(1)/GRID/" + indicator + "/" + year + ".tif"
cellSize = 3000
field = indicator
# Execute FeatureToRaster
arcpy.FeatureToRaster_conversion(inFeature, field, outRaster, cellSize)
def is_south_building_taller(shape_file, x_coords, y_coords):
"""This method should return true if building south of the building at
x y coords is taller
This method converts the shape file to raster and uses a moving window to look
at the polygon south
TODO: Method is unfinished
"""
raster_ext = 'raster.tif'
if arcpy.Exists(raster_ext):
arcpy.Delete_management(raster_ext)
print("WARNING: deleting file " + raster_ext)
raster_file = arcpy.FeatureToRaster_conversion(shape_file, "elevation",
raster_ext)
def convert_afe_to_final_tiles(phyreg_ids):
'''
This function converts AFE outputs to final TIFF files.
phyreg_ids: list of physiographic region IDs to process
'''
phyregs_layer = canopy_config.phyregs_layer
naipqq_layer = canopy_config.naipqq_layer
naipqq_phyregs_field = canopy_config.naipqq_phyregs_field
snaprast_path = canopy_config.snaprast_path
results_path = canopy_config.results_path
arcpy.env.addOutputsToMap = False
arcpy.env.snapRaster = snaprast_path
arcpy.SelectLayerByAttribute_management(phyregs_layer,
where_clause='PHYSIO_ID in (%s)' % ','.join(map(str, phyreg_ids)))
with arcpy.da.SearchCursor(phyregs_layer, ['NAME', 'PHYSIO_ID']) as cur:
for row in cur:
name = row[0]
print(name)
# CreateRandomPoints cannot create a shapefile with - in its
# filename
name = name.replace(' ', '_').replace('-', '_')
phyreg_id = row[1]
outdir_path = '%s/%s/Outputs' % (results_path, name)
if len(os.listdir(outdir_path)) == 0:
continue
arcpy.SelectLayerByAttribute_management(naipqq_layer,
where_clause="%s like '%%,%d,%%'" % (naipqq_phyregs_field,
phyreg_id))
with arcpy.da.SearchCursor(naipqq_layer, ['FileName']) as cur2:
for row2 in sorted(cur2):
filename = row2[0][:-13]
rshpfile_path = '%s/r%s.shp' % (outdir_path, filename)
rtiffile_path = '%s/r%s.tif' % (outdir_path, filename)
frtiffile_path = '%s/fr%s.tif' % (outdir_path, filename)
if os.path.exists(frtiffile_path):
continue
if os.path.exists(rshpfile_path):
arcpy.FeatureToRaster_conversion(rshpfile_path,
'CLASS_ID', frtiffile_path, 1)
elif os.path.exists(rtiffile_path):
arcpy.Reclassify_3d(rtiffile_path, 'Value', '1 0;2 1',
frtiffile_path)
# clear selection
arcpy.SelectLayerByAttribute_management(phyregs_layer, 'CLEAR_SELECTION')
arcpy.SelectLayerByAttribute_management(naipqq_layer, 'CLEAR_SELECTION')
print('Completed')
def feature2raster(input_features, shp_workspace, images_workspace,
field_name, resolution, proj):
arcpy.env.overwriteOutput = True
arcpy.env.workspace = shp_workspace
# define projection
sr = arcpy.SpatialReference(proj)
arcpy.DefineProjection_management(input_features, sr)
raster_name = os.path.join(images_workspace,
input_features[:-4] + ".tif")
out = arcpy.FeatureToRaster_conversion(input_features, field_name,
raster_name, resolution)
print(out)
def wall(nhd_gdb,
rasters_list,
outfolder,
height='500',
projection=arcpy.SpatialReference(102039)):
"""For one or more HU8s within the same subregion (nhd_gdb variable),
adds walls at the boundaries to force flow direction that do not cross
the boundary."""
env.workspace = 'in_memory'
env.outputCoordinateSystem = projection
env.compression = "NONE"
env.snapRaster = rasters_list[0] # they all have the same snap
env.cellSize = '10'
env.pyramids = "PYRAMIDS -1 SKIP_FIRST"
arcpy.CheckOutExtension("Spatial")
# HU8 layer
huc8_fc = os.path.join(nhd_gdb, "WBD_HU8")
arcpy.MakeFeatureLayer_management(huc8_fc, "huc8_layer")
# create output folder with HUC4 in the name
huc4_code = re.search('\d{4}', os.path.basename(nhd_gdb)).group()
walled_dir = os.path.join(outfolder, 'walled' + huc4_code)
if not os.path.exists(walled_dir):
os.mkdir(walled_dir)
# make the walls raster
arcpy.PolygonToLine_management(huc8_fc, 'wall_lines')
arcpy.AddField_management('wall_lines', "height", "DOUBLE")
arcpy.CalculateField_management('wall_lines', "height", '500', "PYTHON")
arcpy.FeatureToRaster_conversion('wall_lines', "height", 'wall_raster')
wallsObject = Raster('wall_raster')
for raster in rasters_list:
out_name = os.path.join(
walled_dir,
os.path.basename(raster).replace('fel.tif', '_wfel.tif'))
cu.multi_msg('Creating output {0}'.format(out_name))
env.extent = raster
elevObject = Raster(raster)
walled_ned = Con(IsNull(wallsObject), elevObject,
(wallsObject + elevObject))
walled_ned.save(out_name)
for item in ['huc8_layer', 'wall_lines', 'wall_raster']:
arcpy.Delete_management(item)
arcpy.ResetEnvironments()
arcpy.CheckInExtension("Spatial")
def main(datadir, pointfile, refraster, outfile):
""" coverts feature to raster"""
# Set environment settings
env.workspace = datadir
# Local variables:
dp_file = os.path.join(env.workspace, pointfile)
wt_tif = os.path.join(env.workspace, outfile)
arcpy.env.extent = os.path.join(env.workspace, refraster)
arcpy.env.outputCoordinateSystem = os.path.join(env.workspace, refraster)
cellsize = 30
# Process: Feature to Raster
arcpy.FeatureToRaster_conversion(dp_file, "Gval", wt_tif, cellsize)
def streamBurning(DEM_orig, scratch_gdb, seg_network_a, home, home_name):
print("stream burning process")
arcpy.CalculateStatistics_management(DEM_orig)
dem_orig_b = Con(IsNull(DEM_orig), 0, DEM_orig)
dem_orig_b.save(scratch_gdb + "/DEM_square")
# set up river network raster
network_raster = scratch_gdb + "/network_raster"
arcpy.env.extent = dem_orig_b
arcpy.env.cellsize = dem_orig_b
arcpy.env.snapRaster = dem_orig_b
arcpy.env.outputCoordinateSystem = dem_orig_b
print('convert network to raster')
net_fields = [f.name for f in arcpy.ListFields(seg_network_a)]
if "burn_val" in net_fields:
arcpy.DeleteField_management(seg_network_a, "burn_val")
del net_fields
arcpy.AddField_management(seg_network_a, "burn_val", "SHORT")
arcpy.CalculateField_management(seg_network_a, "burn_val", "10") #
arcpy.FeatureToRaster_conversion(
seg_network_a, "burn_val", network_raster,
dem_orig_b) # THINK IT IS WORTH CHANGING THE ATTRIBUTE VALUE
network_raster_a = Con(
IsNull(network_raster), 0,
30) # changed to 30 to see if it improves stream ordering
network_raster_a.save(scratch_gdb + "/net_ras_fin")
arcpy.ResetEnvironments()
# This is just a map algebra thing to replace the stuff above that uses numpy (the numpy stuff works but is
# limited in terms of how much it can process.
print("stream burning DEM")
rivers_ting = Raster(scratch_gdb + "/net_ras_fin")
dem_ting = Raster(scratch_gdb + "/DEM_square")
stream_burn_dem_a = dem_ting - rivers_ting
stream_burn_dem_a.save(scratch_gdb + "/raster_burn")
sb_DEM = os.path.join(home, "{0}strBurndDEm.tif".format(home_name))
arcpy.CopyRaster_management(scratch_gdb + "/raster_burn", sb_DEM)
print("stream burning complete")
return stream_burn_dem_a, network_raster, sb_DEM
def Burn(Buildings, DEM, DEMfinal, locationtemp1, DEM_extent, gv):
# Create a raster with all the buildings
Outraster = locationtemp1 + '\\' + 'AllRaster'
arcpy.env.extent = DEM_extent # These coordinates are extracted from the environment settings/once the DEM raster is selected directly in ArcGIS,
arcpy.FeatureToRaster_conversion(
Buildings, 'height_ag', Outraster,
'0.5') # creating raster of the footprints of the buildings
# Clear non values and add all the Buildings to the DEM
OutNullRas = arcpy.sa.IsNull(Outraster) # identify noData Locations
Output = arcpy.sa.Con(OutNullRas == 1, 0, Outraster)
RadiationDEM = arcpy.sa.Raster(DEM) + Output
RadiationDEM.save(DEMfinal)
gv.log('complete burning buildings into raster')
return arcpy.GetMessages()
def getCountryClipRaster(country_name, scratch_workspace_basepath):
AddMsgAndPrint('Getting Clip Features')
try:
#in_features = "FILE PATH"\TRMM Tools\\SampleGauls\\SimpleGauls.shp"
#in_features = "FILE PATH"\\SERVIR\\ReferenceNode\\GPServices\\TRMM Tools\\SampleGauls\\SimpleGauls.shp"
#out_feature_class = os.path.join(scratch_workspace_basepath, "temp_fc")
out_feature_class = scratch_fgdb_fullpath+"\\temp_fc"
arcpy.Select_analysis(inClipFeatures, out_feature_class, "\"ADM0_NAME\" = \'"+country_name+"\'")
clip_raster = out_feature_class+"_ras"
arcpy.FeatureToRaster_conversion(out_feature_class+".shp", 'value', clip_raster, 0.25)
return clip_raster
except Exception as e:
AddMsgAndPrint(e.message)
arcpy.AddError(e.message)
def wall(nhd_gdb,
rasters_list,
outfolder,
height='500',
projection=arcpy.SpatialReference(102039)):
"""For one or more HU8s within the same subregion (nhd_gdb variable),
adds walls at the boundaries to force flow direction that do not cross
the boundary."""
env.workspace = 'in_memory'
env.outputCoordinateSystem = projection
env.compression = "NONE"
env.snapRaster = rasters_list[0] # they all have the same snap
env.cellSize = '10'
env.pyramids = "PYRAMIDS -1 SKIP_FIRST"
arcpy.CheckOutExtension("Spatial")
# HU8 layer
huc12_fc = os.path.join(nhd_gdb, "WBDHU12")
arcpy.MakeFeatureLayer_management(huc12_fc, "huc12_layer")
# make the walls raster
arcpy.PolygonToLine_management(huc12_fc, 'wall_lines')
arcpy.AddField_management('wall_lines', "height", "DOUBLE")
arcpy.CalculateField_management('wall_lines', "height", '500000', "PYTHON")
arcpy.FeatureToRaster_conversion('wall_lines', "height", 'wall_raster')
wallsObject = Raster('wall_raster')
for raster in rasters_list:
out_name = os.path.join(raster.replace('.tif', '_walled.tif'))
arcpy.AddMessage('Creating output {0}'.format(out_name))
env.extent = raster
elevObject = Raster(raster)
walled_ned = Con(
IsNull(wallsObject), elevObject,
Con(LessThan(elevObject, -58000), elevObject, wallsObject))
walled_ned.save(out_name)
for item in ['huc8_layer', 'wall_lines', 'wall_raster']:
arcpy.Delete_management(item)
arcpy.ResetEnvironments()
arcpy.CheckInExtension("Spatial")
return out_name
def burn_streams(subregion_ned,
nhd_gdb,
burnt_out,
projection=arcpy.SpatialReference(102039)):
env.snapRaster = subregion_ned
env.outputCoordinateSystem = projection
env.compression = "LZ77" # compress temp tifs for speed
env.extent = subregion_ned
env.workspace = 'in_memory'
flowline = os.path.join(nhd_gdb, 'NHDFlowline')
# Copy flowlines to shapefile that will inherit environ output coord system
# just easier to have a copy in the correct projection later
arcpy.CopyFeatures_management(flowline, 'flowline_proj')
## arcpy.FeatureClassToFeatureClass_conversion("NHDFlowline", "in_memory", flow_line)
cu.multi_msg("Prepared NHDFlowline for rasterizing.")
# Feature to Raster- rasterize the NHDFlowline
# will inherit grid from env.snapRaster
arcpy.FeatureToRaster_conversion('flowline_proj', "OBJECTID",
'flowline_raster', "10")
cu.multi_msg("Converted flowlines to raster.")
# Raster Calculator- burns in streams, beveling in from 500m
cu.multi_msg(
"Burning streams into raster, 10m deep and beveling in from 500m out. This may take a while...."
)
arcpy.CheckOutExtension("Spatial")
distance = EucDistance('flowline_proj', cell_size="10")
streams = Reclassify(
Raster('flowline_raster') > 0, "Value", "1 1; NoData 0")
burnt = Raster(subregion_ned) - (10 * streams) - (0.02 * (500 - distance) *
(distance < 500))
cu.multi_msg("Saving output raster...")
burnt.save(burnt_out)
# Delete intermediate rasters and shapefiles
for item in ['flowline_proj', 'flowline_raster']:
arcpy.Delete_management(item)
arcpy.CheckInExtension("Spatial")
cu.multi_msg("Burn process completed")
arcpy.ResetEnvironments()
def catchment_preparation(river_catchment, cell_size):
river_catchment_raster = arcpy.FeatureToRaster_conversion(river_catchment, "OBJECTID", "MODEL_river_catchment_ras", cell_size)
river_catchment_polygon = arcpy.RasterToPolygon_conversion(river_catchment_raster, "MODEL_river_catchment_poly", "NO_SIMPLIFY", "#")
lst = arcpy.ListFields(river_catchment_polygon)
SBS_exists = 'false'
GRID_exists = 'false'
for f in lst:
if f.name == "SBS_CODE":
SBS_exists = 'true'
arcpy.AddMessage("SBS_CODE exists")
elif f.name == "grid_code":
GRID_exists = 'true'
arcpy.AddMessage("grid_code exists")
if SBS_exists == 'false':
arcpy.AddField_management(river_catchment_polygon, "SBS_CODE", "SHORT")
arcpy.AddMessage("added SBS_CODE")
if GRID_exists == 'false':
arcpy.AddField_management(river_catchment_polygon, "grid_code", "SHORT")
arcpy.AddMessage("added grid_code")
# Create update cursor for feature class
rows = arcpy.UpdateCursor(river_catchment_polygon)
for row in rows:
row.SBS_CODE = 0
row.grid_code = 0
rows.updateRow(row)
# Delete cursor and row objects to remove locks on the data
del row
del rows
arcpy.AddMessage("Corrected catchment")
arcpy.AddMessage("-------------------------")
return river_catchment_polygon
