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)


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).


Spatial Autocorrelation Null Distribution Spatial Cluster Royal Statistical Society Complete Spatial Randomness 
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© Springer Science+Business Media Dordrecht 1998

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  • Peter A. Rogerson

There are no affiliations available

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