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gstat: Variogram with non-Euclidean Distances

On 08/11/2011 04:17 PM, Ben Madin wrote:
Same other information on the subject may be found in Shabenberger and Gotway 
("Statistical Methods in Spatial Data Analysis"). The authors state that 
non-euclidean distances may result in non-positive defined covariance matrices, 
hence invalid covariance functions (though multi-dimensional scaling can come to 
the rescue in some cases)... looks like a tricky subject.

Regards,

Luca Morandini
http://www.lucamorandini.it