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gstat::krige() - regression kriging vs. kriging with external drift

On 14/11/15 17:32, Bede-Fazekas ?kos wrote:
For what it's worth, my opinion:

I would call it universal kriging, in line with the software you're
using (which I wrote):
[using universal kriging]

Most of the (older) literature associates external drift kriging with a
single external drift variable (e.g. Goovaerts), and universal kriging
with using coordinates as covariates.

The statistician might call everything best linear unbiased prediction
under the the general linear model y = X beta + e, with a spatial
covariance function describing the covariance of e, and in that
perspective both methods are equivalent.

I'm not the person to tell what regression kriging is and what it is
not, but it might include the above models as well as those where trend
fitting and residuals are done in different steps, and potentially under
different assumptions for e.