This is more about kriging theory actually,
but I can't understand in which different ways the elevation information is
taken into account in the prediction process when e.g.:

 - I apply ordinary cokriging on input data which include 3D (x,y,h) spatial
coordinates;
 - I apply universal cokriging on input data with 2D (x,y) spatial
coordinates and using the elevation h as external drift on the output grid.

Piero
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