[R-sig-Geo] Ordinary and Regression Kriging combined to deal with missing values in predictor variables

[piero campa]

Maybe this is how the combination is meant to be:

- apply regression model on the area of interest
- use the residuals at sampling location of the target variable to create
direct- and cross-variograms along with the non-ubiquitous predictors
- apply co-kriging by means of these variograms to predict residuals at all
locations and add them to the regression map.

I am sorry I focused on the idea of combining UK with CK, whereas maybe what
Hengl meant in his book was just to combine CK with regression.

Cheers,
Piero
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