This tool will transform the values in an input raster image into z-scores. Z-scores are also called standard scores, normal scores, or z-values. A z-score is a dimensionless quantity that is calculated by subtracting the mean from an individual raw value and then dividing the difference by the standard deviation. This conversion process is called standardizing or normalizing and the result is sometimes referred to as a standardized variable. The mean and standard deviation are estimated using all values in the input image except for NoData values. The input image should not have a Boolean or categorical data scale, i.e. it should be on a continuous scale.
The following is an example of a Python script that uses this tool:
wd = pluginHost.getWorkingDirectory()
inputFile = wd + "input.dep"
outputFile = wd + "output.dep"
args = [inputFile, outputFile]
pluginHost.runPlugin("ZScores", args, False)
This is a Groovy script also using this tool:
def wd = pluginHost.getWorkingDirectory()
def inputFile = wd + "input.dep"
def outputFile = wd + "output.dep"
String[] args = [inputFile, outputFile]
pluginHost.runPlugin("ZScores", args, false)