Dear Syed, I opted for this solution for several reasons:
1) the slope of the model follows an experimental variogram.
2) I can filter the nugget effect.
3) Also with a linear variogram Kriging gives weights to
data taking into account distance as well as clustering (from this
perspective is really
similar to natural neighbor but more efficient fro the numerical point of view)
Then, I was interested on a specific problem with gslib library and not about
the theory of geostatistics.
At 15.49 29/05/2007, Syed Shibli wrote:
A fractal model with exponent 1 reverts to just a linear
interpolation. No need for fancy kriging unless you want to derive
the kriging variance.
Syed
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