Hello,
I suspect that the problem resides in the use of 1 for setting up the
unbiasedness constraints.
In Gslib, the 1's are replaced by a constant that equals the largest value
taken by the variogram
(i.e. sill or pseudo-sill for unbounded models). While rescaling both the
left and
righ-hand
Dear All;
While conducting ordinary kriging with anisotropic power model, some of
the entries in kriging coefficient matrix become unexpectly large
creating problem for its inversion. One possible remedy would be to limit
OK with moving neighborhood whereby the separation distance is under
