A Spatial Version of the Chi-Square Goodness-of-fit Test and its Application to Tests for Spatial Clustering
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).
KeywordsSpatial Autocorrelation Null Distribution Spatial Cluster Royal Statistical Society Complete Spatial Randomness
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