# Helper function for setting suffix according to input directoryįcSuffix, tblSuffix, rastSuffix = '', '', '' AddWarning( msg)Įlif severity = 2: arcpy. AddMessage( msg)Įlif severity = 1: arcpy. # Helper function for displaying messages Please see theĭocumentation on the individual tools for more information.
Preparing vector population and raster ancillary datasetsįor intelligent dasymetric mapping, performs the dasymetricĬalculations, and then generates a floating point output Other changes includeĬombining all geoprocessing and calculations into one step and using pandasĭescription: This toolbox contains a number of scripts that assist Using census polygons where the population estimated for sampled/presetĪncillary classes did not exceed the census population. This version follows the publication by Mennis and Hultgren (2006) with theĮxception that class densities for unsampled ancillary classes are calculated This script isĪn updated version of the original EnviroAtlas IDM toolbox developed by Spatial distribution of population within the source units. Learn more about bidirectional Unicode charactersĭescription: Intelligent Dasymetric Mapping (IDM) disaggregates populationĬounts enumerated by vector source units to the spatial resolution of aĬategorical ancillary raster containing classes that are indicative of the To review, open the file in an editor that reveals hidden Unicode characters. This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. workspace = "C:/data" # Set local variables inRaster = "zone" outPolygons = "c:/output/zones.shp" field = "VALUE" # Execute RasterToPolygon arcpy. # Requirements: None # Import system modules import arcpy from arcpy import env # Set environment settings env. # Name: RasterToPolygon_Ex_02.py # Description: Converts a raster dataset to polygon features. Syntax RasterToPolygon(in_raster, out_polygon_features, ) Parameter
You can avoid this shift by using the input raster as the Snap Raster in the environment. Consequently, the output features will shift as well, and the resultant output features may not overlay the original input raster exactly. This shift will trigger a resampling of the input raster using the Nearest Neighbor method. If Extent is specified in the environment setting and the lower-left corner of the output extent does not match any cell corner of the input raster, during processing, a shift of the cell alignment of the input raster will occur to match the specified extent. This parameter produces similar output as created by the Dice tool. This is particularly useful when output features contain a very large number of vertices. The Maximum vertices per polygon parameter can be used to subdivide a polygon into smaller polygons based on a specified vertex limit.
The grouping process is similar to what is used in the Dissolve tool. However, if the output feature class contains a very large number of features, it may cause an out of memory error. If the Create multipart features parameter is checked ( MULTIPLE_OUTER_PART in Python), the output will be a multipart feature class and, on average, process faster. Comparing the output with different simplify options The result is presented for both the settings of the Simplify parameter. The following graphic illustrates how the input raster is vectorized when it is converted to a polygon feature output. If a field is not specified, the cell values of the input raster (the VALUE field) will become a column with the heading Gridcode in the attribute table of the output feature class. The Field parameter allows you to choose which attribute field of the input raster dataset will become an attribute in the output feature class. The input raster can have any cell size and must be a valid integer raster dataset. Converts a raster dataset to polygon features.
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