Abstract
A statistical hypothesis test for a difference between the spatial distributions of two populations is presented. The test is based upon a generalization of the two—sample Cramer—von Mises test for a difference between two univariate probability distributions. It is designed to be sensitive to differences in the way the populations are distributed across the study area but insensitive to a difference in abundance between the two populations. The procedure is nonparametric and uses the methodology of a randomization test to determine the level of significance of the test statistic.

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