This tool will transform the values in an input raster image (`input`) 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.

## See Also

cumulative_distribution

## Function Signature

`def z_scores(self, raster: Raster) -> Raster: ...`

## Project Links

WbW Homepage User Manual Support WbW