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Description
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.
Publication Date
9-2020
Publisher
Regional Research Institute, West Virginia University
Original Publication Information
1988
City
Morgantown
Keywords
spatial analysis, spatial distributions, spatial autocorrelation
Recommended Citation
Odland, J. (1988). Spatial Autocorrelation. Reprint. Edited by Grant Ian Thrall. WVU Research Repository, 2020.
All Web Book material, including text and graphics, is available to users for personal use and may not be redistributed in whole or in part, in print, online, or on electronic media (e.g., CD). Permission for reprinting images and text from the Web Book of Regional Science must be obtained from Dr. Grant I. Thrall, who retains the copyright, to which all users must comply.
