Some methods for analyzing and correcting for spatial autocorrelation
Emil O. W. Kirkegaard
A method for examining spatial autocorrelation based on distance scores was examined and found to be deficient. Because of this an alternative measure was proposed: k nearest spatial neighbor regression. Methods were examined across simulated datasets to see if they could successfully remove SAC and distinguish between a true and a spurious cause. Furthermore, the methods were compared to a more traditional measure of spatial autocorrelation, Moran’s I.
Key words: spatial autocorrelation, Moran’s I, correlation of distances, k nearest spatial neighbor, knsn
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