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Dear Diane,
As far as I know, the sample variance for the
semivariogram is not theoretically defined. One cannot simply calculate the
variance as if the sample points were identical independent data, because, by
definition, they are not independent when spatial dependence
exists!
There is an approximation in Cressie that I have
used to test for spatial dependence, but I believe that it is sensitive to
various assumptions in the data.
The alternative is to use a Monte Carlo test, i.e.
randomly allocate the data to the spatial locations many times, calculate
semivariograms for each randomization, and see how the sample semivariogram
compares with the simulations. If the sample semivariogram for a particular lag
is below the simulation semivariogram 95 % of the time, you would conclude that
there is spatial structure at this lag.
Dan Bebber
___________________________________
Dr. Daniel P. Bebber
Department of Plant Sciences University of Oxford South Parks Road Oxford OX1 3RB UK Tel. 01865 275060
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