I have a quick question regarding the SpatialFiltering function. I have created a dataset wherein I control the amount of spatial autocorrelation in the model residuals before submission to spatial filtering. The SpatialFiltering function works really well when model residuals are positively spatially autocorrelated, but it doesn't seem to work when the residuals are spatially negatively autocorrelated. It seems to me from the literature, that spatial filtering with eigenvectors aught to be able to handle negatively spatially autocorrelated model residuals. Is something about the way SpatialFiltering is coded that excludes negative SAC? Does anyone have any other ideas that might explain this? Thanks.


Jonathan B. Thayn, Ph.D.
Illinois State University
Department of Geography - Geology
200A Felmley Hall
Normal, Illinois 61790-4400

(309) 438-8112
jthayn@ilstu.edu
my.ilstu.edu/~jthayn






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