Title:

Some methods for analyzing and correcting for spatial autocorrelation

Authors:

Emil O. W. Kirkegaard

Abstract

A method for examining spatial autocorrelation based on distance scores was examined and found to be lacking. 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

PDF + files: https://osf.io/ea2bm/

Some methods for analyzing and correcting for spatial autocorrelation

Authors:

Emil O. W. Kirkegaard

Abstract

A method for examining spatial autocorrelation based on distance scores was examined and found to be lacking. 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

PDF + files: https://osf.io/ea2bm/