AI-GEOSTATS: Variogram-parameter covariance matrix
- Dear list members:
Do you expect that the uncertainty related to estimating variogram
parameters have a strong effect on spatial prediction via ordinary
kriging? It is my impression that usually the analist disregard this
source of variance and proceeds as if these parameters from the
variogram were known. This might be justified since normally the sample
size (pairs of observations) is quite high when fitting the variogram
via weighted least squares, for instance. Any opinion on this and/or
references would be much welcome.
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