[R-sig-Geo] experimental covariogram

[Nick Perpinias]

Dear R-GIS users,

I am trying to do a performance evaluation/comparison between the
covariogram and semivariogram for certain spatially correlated data.
In particular, I would like to investigate if there is a certain trade off
using either of these two tools when for example there is no trend on the
spatial field.

Although checking the main packages for spatial statistics in R (sp,
spatstat, geoR, geoRglm, gstat) I wasn't able to find a function
calculating the experimental covariogram of a given spatial dataset.

In geoRglm there is only a very specific implementation for covariogram
estimation (covariog function) and in gstat packet the variogram function
has the option of covariogram without making clear if the covariogram is
computed or extracted from the semivariogram.

I would be grateful if you could point out an existing function of a plan
of attack for my question.

Thank you in advance for your time and help.

Best Regards,

Nikos

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