Gradient-enhanced kriging (GEK) is a variant of the traditional kriging method used for spatial prediction, particularly in the field of geostatistics. While traditional kriging focuses on modeling the spatial correlation of a variable based solely on observations, GEK incorporates additional information about the gradients (or spatial derivatives) of the variable of interest to improve the accuracy of the predictions.
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