Variogram Back Transformations

Supervisor provides a back transform component that back transforms normal scores variogram parameters. This allows you to perform continuity analysis and variogram modelling using data transformed to normal scores (Gaussian) values, and subsequently transform the variogram model parameters so they are correct for the pattern of continuity in the original data space. This approach is useful when the noise in the raw data variograms is high, and the underlying patterns of continuity in the original data are masked by the noise (such as commonly occurs when considering highly skewed data sets with extreme values).