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indicator kriging with R

Yes, this is what indicator kriging does.

What you want is probably going back from the [0..1] estimated
probabilities to the original Z values. Gstat doesn't help here, but it
shouldn't be too hard to write a function for this. You need to make
assumptions about the distribution between different cutoff values, in
particular about both extreme (open) classes. I think the GSLIB and
Goovaerts books would be the first ones to look into.
On 22/10/15 10:19, Dafne Berg wrote: