Spatial Autocorrelation

John Odland
Additional contact information
John Odland: Department of Geography, Indiana University

in Wholbk from Regional Research Institute, West Virginia University

Abstract: 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.

Keywords: regional science; overview; spatial autocorrelation (search for similar items in EconPapers)
JEL-codes: C31 O18 P25 R11 (search for similar items in EconPapers)
Date: 1985
References: Add references at CitEc
Citations:

Downloads: (external link)
https://researchrepository.wvu.edu/rri-web-book/20/ (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rri:wholbk:14

Access Statistics for this book

More books in Wholbk from Regional Research Institute, West Virginia University Contact information at EDIRC.
Bibliographic data for series maintained by Randall Jackson ().