R: Intamap and "honoring" original data
Any suggestions?
Hi to all. My problem is to force a Kriging prediction to "honour" original data. This
is
because I need to interpolate values that represent the Bayesian probability that a particular event occurs. For Instance, If for a locality I computed a probability = 1, or p=0.6, I need to possibly keep unchanged these values
after
the interpolation. I know this is a stretch according to what Kriging
really
does. As I need to perform interpolation automatically, I'm using package "intamap" that is great! I found the function "unbiasedKrige" that should perform , if I understood well, exactly what I need. Unfortunately, I find
out
that even by using this function (both using MOK and IWQSEL, tested many
times
with different parameters) the predicted values are still too far from
original
data at the same locations. What can you suggest me? Thanks.
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