Available with Spatial Analyst license.
Defines the input rasters and their weights which will be added together in the WeightedSum tool.
The Weighted Sum tool uses the WSTable object.
This class is also available if you have an Image Analyst extension license.
Input rasters can be integer or floating point.
The weight values can be any positive or negative decimal value. The weights do not need to add to any specific value such as 100 (representing each raster's percent influence).
[[inRaster, field, weight],...]
The table specifying the input rasters, the fields to use for the values for each raster, and the weight by which to multiply each raster.
(Read and Write)
Contains the weighted sum table specifying the rasters to be added, the fields identifying the values to use for each raster, and the amount of influence each raster will have in the addition.
Demonstrates how to create a WSTable class and use it in the WeightedSum tool within the Python window.
import arcpy from arcpy import env from arcpy.sa import * env.workspace = "C:/sapyexamples/data" myWSumTable = WSTable([["snow", "VALUE", 0.2], ["land", "VALUE", 0.3], ["soil", "VALUE", 0.5]]) outWSumT = WeightedSum(myWSumTable) outWSumT.save("C:/sapyexamples/output/wsumtable")
Performs a weighted sum analysis using the WSTable class.
# Name: WSTable_Ex_02.py # Description: Demonstrate executing WeightedSum using the WSTable object. # Requirements: Spatial Analyst Extension # Import system modules import arcpy from arcpy import env from arcpy.sa import * # Set environment settings env.workspace = "C:/sapyexamples/data" # Set local variables inRaster01 = "snow" field01 = "VALUE" weight01 = 0.25 inRaster02 = "land" field02 = "VALUE" weight02 = 0.25 inRaster03 = "soil" field03 = "VALUE" weight03 = 0.5 # Define WSTable myWSumTable = WSTable([[inRaster01, field01, weight01], [inRaster02, field02, weight02], [inRaster03, field03, weight03]]) # Execute WeightedSum outWSumT = WeightedSum(myWSumTable) # Save the output outWSumT.save("C:/sapyexamples/output/wsumtable2")