TfLinear
Summary
Defines a Linear transformation function which is determined from the minimum and maximum 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 TfLinear object is Rescale by Function.
The function values range from 0 to 1, which are then transformed to the evaluation scale.
To create a positive slope for the transformation function, set the minimum value to be less than the maximum value. To create a negative slope for the function, set the minimum value to be larger than the maximum value.
The following relationships between the minimum and maximum parameters and the thresholds are important to understand:
If the
minimumparameter is set less than themaximumparameter and theminimumis greater than thelowerThreshold, any input value less than theminimumand greater than thelowerThresholdwill receive thefromScalevalue on the output raster.If the
maximumparameter is set greater than theminimumparameter and themaximumis less than theupperThreshold, any input value greater than themaximumand less than theupperThresholdwill receive thetoScalevalue on the output raster.If the
minimumparameter is set less than thelowerThreshold, theminimumwill be set to thelowerThreshold. If themaximumparameter is set greater than theupperThreshold, themaximumwill be set to theupperThreshold.
The Linear function is useful when the smaller values linearly increase in preference to the larger values for a positive slope (resulting in the larger values receiving the higher output evaluation values) and opposite for a negative slope.
Syntax
TfLinear({minimum}, {maximum}, {lowerThreshold}, {valueBelowThreshold}, {upperThreshold}, {valueAboveThreshold})
| Name | Explanation | Data type |
|---|---|---|
|
minimum (Optional) |
One of two points the Linear transformation function must pass through. If the The minimum cannot equal the maximum. The default value is None. |
Double |
|
maximum (Optional) |
One of two points the Linear function must pass through. If the The minimum cannot equal the maximum. The default value is None. |
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 user-specified 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 user-specified 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 minimum for the transformation function which defines one of the two points the Linear function must pass through. |
Double |
|
maximum (Read and Write) |
The value of the maximum for the transformation function which defines one of the two points the Linear function must pass through. |
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 TfLinear 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", TfLinear(421, 4450, "#", "#", "#", "#"), 1, 10)
outRescale.save("c:/sapyexamples/rescaletfli1")
Demonstrates how to transform the input data with the RescaleByFunction tool using the TfLinear class.
# Name: TfLinear_Ex_02.py
# Description: Rescales input raster data using a Linear 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 TfLinear object
minimum = 421
maximum = 4450
lowerthresh = "#"
valbelowthresh = "#"
upperthresh = "#"
valabovethresh = "#"
myTfFunction = TfLinear(minimum, maximum, 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/rescaletfli2")