Regression kriging is a combination of the Generalized Linear Model (GLM) and kriging, and is the most common hybrid algorithm. Regression kriging first uses the GLM to estimate the determinstic effect in the spatial field, and then uses kriging to estimate the random field consisting of regression residuals.
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