Spatial Analyst のライセンスで利用可能。
Defines a fuzzy membership function around a specific value which is defined by a user-defined midpoint (which is assigned a membership of 1), with a defined spread decreasing to zero.
The tool that uses the FuzzyNear object: Fuzzy Membership.
The equation for the fuzzy Near function is:
The inputs to the equation are f1, the spread, and f2, the midpoint. Increasing the spread causes the fuzzy membership curve to become steeper.
The Near function is useful if the membership is near a specific value.
The input values can be either integer or floating-point positive values.
The Near function is similar to the Gaussian fuzzy membership function except the Near function has a more narrow spread.
FuzzyNear (midpoint, spread)
The user-defined value with a fuzzy membership of 1.
The default is the midpoint of the range of values of the input raster.
Defines the spread of the Near function. The spread generally ranges from 0.001 to 1 with the larger the value results in a steeper distribution from the midpoint.
The user-defined value defining the midpoint for the membership function.
Defines the spread of the membership function. The larger the value results in a steeper distribution from the midpoint.
Demonstrates how to create a FuzzyNear class and use it in the FuzzyMembership tool within the Python window.
import arcpy from arcpy.sa import * from arcpy import env env.workspace = "c:/sapyexamples/data" outFzyMember = FuzzyMembership("as_std", FuzzyGaussian(9, 0.1)) outFzyMember.save("c:/sapyexamples/fzynear")
Performs a FuzzyMembership using the FuzzyNear class.
# Name: FuzzyNear_Ex_02.py # Description: Scales input raster data into values ranging from zero to one # indicating the strength of a membership in a set. # 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 inRaster = "as_std" # Create the FuzzyNear algorithm object midpoint = 11 spread = 0.2 myFuzzyAlgorithm = FuzzyNear(midpoint, spread) # Execute FuzzyMembership outFuzzyMember = FuzzyMembership(inRaster, myFuzzyAlgorithm) # Save the output outFuzzyMember.save("c:/sapyexamples/fzynear2")