CoKriging

CoKriging can be seen as a point interpolation, which requires a point map as input and which returns a raster map with estimations and optionally an error map. CoKriging is a multivariate variant of the Ordinary Kriging operation: CoKriging calculates estimates or predictions for a poorly sampled variable (the predictand) with help of a well-sampled variable (the covariable). The variables should be highly correlated (positive or negative).

Before CoKriging, you should perform the Cross Variogram operation and determine a semi-variogram model for the predictand, for the covariable and a cross-variogram model for the combination of the variables in a graph window (Graph window : Add semi-variogram model). All three models serve as input for the CoKriging operation.