Hi Younes,
maybe take a (stratified) random sample of your data to reduce the
computational time for the variography.
For predictions you might want to use a local search neighbourhood if
that is a feasible approach for your problem.
Ulrich
Younes Fadakar wrote:
Hi everybody,
G'day.
Younes
You can try what we used to do in the bad old days when it took 20 minutes to
calculate a semi-variogram on 1,000 samples -- moving windows.
Choose a sub-region size which includes about 1,000 samples. Calculate and
graph from the samples in this window. Shift half-a-window in one
