Soeren
That works if your matrix is made up of covariance terms rather than
variogram terms. However you should use the variance of the error term
instead of the standard deviation.
So in your notation A_ij = C_ij = D - Gamma_ij
where Gamma_ij are the variogram values, D is the sill of
Soeren
I presume what you have is a sort of 'analytical
error' for each sample? That is, the standard
deviation for two samples at the same location around
the 'true value' at the same location?
In this case, you can put the variance down the
diagonal of your kriging system to obtain optimal
