Dear Abani,
The following is a quote from a geostatistics book by Chiles and
Delfiner (p33):
"..gives us two reasons to favor the variogram over the covariance. The
first is theoretical: since the class of Intrinsic Random Functions
includes the Stationary Random Functions, the variogram is a more
general tool than the covariance." ... "The second reason is practical:
the variogram, unlike the covariance, does not require the knowledge of
the mean."
Chiles, J., Delfiner, P., 1999. Geostatistics: Modeling Spatial
Uncertainty. John Wiley & Sons, New York.
hth,
Paul
Abani R Samal schreef:
Can any one in the list help me explain the drawbacks of using
correlogram for kriging?
In other words, what are the advantages of using variogram models
instead of correlogram models?
why people don't use correlogram models more (as compared to variogram
models)?
Regards,
Abani R Samal
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