In addition to Block and Punctual Kriging, GS+ now provides Simple Kriging (both stationary and non-stationary), Ordinary Kriging (with or without external drift), Universal Kriging (also called ordinary kriging with polynomial trend), and Indicator Kriging. Other interpolation techniques include Cokriging, Conditional Simulation, and Inverse and Normal Distance Weighting.
Ensure that interpolation options provide the best fit possible with new Jackknife and Cross Validation analyses.
Autocorrelation analysis of huge data sets can take tens of hours even by advanced computing platforms. Often autocorrelation measures can be effectively calculated on only a subset of such datasets. GS+ now allows huge datasets to be randomly subsampled to substantially reduce computation times. The degree of subsampling is under user control.
