Available with Spatial Analyst license.
Summary
Defines the input rasters and their weights which will be added together in the Weighted Sum tool.
Discussion
The Weighted Sum tool uses the WSTable object.
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).
Syntax
WSTable (weightedSumTable)
Parameter | Explanation | Data Type |
weightedSumTable [[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.
| List |
Properties
Property | Explanation | Data Type |
weightedSumTable (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. | List |
Code sample
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")