TfLogisticDecay
Summary
Defines a Logistic Decay transformation function which is determined from the minimum, maximum, and y intercept percent shape–controlling parameters as well as the lower and upper threshold that identify the range within which to apply the function.
Learn more about how the parameters affect this transformation function
Discussion
The tool that uses the TfLogisticDecay object is Rescale by Function.
The function values range from 0 to 100, which are then transformed to the evaluation scale.
If the minimum parameter is set greater than the lowerThreshold, or the maximum parameter is set less than the upperThreshold, the function curve will decrease at a faster rate. If the minimum parameter is set less than the lowerThreshold, or the maximum parameter is set greater than the upperThreshold, the function curve will decrease at a slower rate.
Syntax
TfLogisticDecay({minimum}, {maximum}, {yInterceptPercent}, {lowerThreshold}, {valueBelowThreshold}, {upperThreshold}, {valueAboveThreshold})
| Name | Explanation | Data type |
|---|---|---|
|
minimum (Optional) |
The starting point for the The minimum must be less than the maximum. The default value is None. |
Double |
|
maximum (Optional) |
The ending point for the The minimum must be less than the maximum. The default value is None. |
Double |
|
yInterceptPercent (Optional) |
Determines the value range in the decreasing portion of the logistic decay curve. The greater the The The default value is 99.0. |
Double |
|
lowerThreshold (Optional) |
Defines the starting value at which to begin applying the specified transformation function. The input value corresponding to the The The default value is None. |
Double |
|
valueBelowThreshold (Optional) |
A value to assign output cell locations with input values below the The value for The default value is None. |
Variant |
|
upperThreshold (Optional) |
Defines the ending value at which to stop applying the specified transformation function. The input value corresponding to the The The default value is None. |
Double |
|
valueAboveThreshold (Optional) |
A value to assign output cell locations with input values above the The value for The default value is None. |
Variant |
Properties
| Name | Explanation | Data type |
|---|---|---|
|
minimum (Read and Write) |
The value of the |
Double |
|
maximum (Read and Write) |
The value of the |
Double |
|
yInterceptPercent (Read and Write) |
The value of the |
Double |
|
lowerThreshold (Read and Write) |
The value of the |
Double |
|
valueBelowThreshold (Read and Write) |
The value that will be assigned to the output cells whose input values are below the |
Variant |
|
upperThreshold (Read and Write) |
The value of the |
Double |
|
valueAboveThreshold (Read and Write) |
The value that will be assigned to the output cells whose input values are above the |
Variant |
Code sample
Demonstrates how to create a TfLogisticDecay class and use it in the RescaleByFunction tool within the Python window.
import arcpy
from arcpy.sa import *
from arcpy import env
env.workspace = "c:/sapyexamples/data"
outRescale = RescaleByFunction("elevation", TfLogisticDecay(421, 4450, 75, "#", "#", "#", "#"), 1, 10)
outRescale.save("c:/sapyexamples/rescaletfld1")
Demonstrates how to transform the input data with the RescaleByFunction tool using the TfLogisticDecay class.
# Name: TfLogisticDecay_Ex_02.py
# Description: Rescales input raster data using a LogisticDecay function and
# transforms the function values onto a specified evaluation scale.
# 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 = "elevation"
# Create the TfLogisticDecay object
minimum = 421
maximum = 4450
yintercept = 75
lowerthresh = "#"
valbelowthresh = "#"
upperthresh = "#"
valabovethresh = "#"
myTfFunction = TfLogisticDecay(minimum, maximum, yintercept, lowerthresh, valbelowthresh, upperthresh, valabovethresh)
# Set evaluation scale
fromscale = 1
toscale = 10
# Run RescaleByFunction
outRescale = RescaleByFunction(inRaster, myTfFunction, fromscale, toscale)
# Save the output
outRescale.save("c:/sapyexamples/rescaletfld2")