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The analysis of spatial distributions and the processes that produce and alter them is a central theme in geographic research and this volume is concerned with statistical methods for analyzing spatial distributions by measuring and testing for spatial autocorrelation. Spatial autocorrelation exists whenever a variable exhibits a regular pattern over space in which its values at a set of locations depend on values of the same variable at other locations. Spatial autocorrelation is present, for example, when similar values cluster together on a map. Spatial autocorrelation statistics make it possible to use formal statistical procedures to measure the dependence among nearby values in a spatial distribution, test hypotheses about geographically distributed variables, and develop statistical models of spatial patterns. Scientific Geography Series Editor: Grant Ian Thrall.
Regional Research Institute, West Virginia University
Original Publication Information
spatial analysis, spatial distributions, spatial autocorrelation
Odland, J. (1988). Spatial Autocorrelation. Reprint. Edited by Grant Ian Thrall. WVU Research Repository, 2020.