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A Spatial Version of the Chi-Square Goodness-of-fit Test and its Application to Tests for Spatial Clustering

  • Peter A. Rogerson
Part of the Advanced Studies in Theoretical and Applied Econometrics book series (ASTA, volume 35)

Abstract

Whether observed spatial data conform to our expectations has long been a central question of spatial analysis. Departures of observations from complete spatial randomness may be tested in a number of ways, for both point data and area data. A useful review is provided by Bailey and Gattrell (1995).

Keywords

Spatial Autocorrelation Null Distribution Spatial Cluster Royal Statistical Society Complete Spatial Randomness 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 1998

Authors and Affiliations

  • Peter A. Rogerson

There are no affiliations available

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