Publication Date

12-2001

Series Number

Preprint #01-18

Abstract

Ripley's K function sumarizes spatial point process data. It can be used to describe a set of locations, test hypotheses about patterns, and estimate parameters in a spatial point Process model. A univariate version is used for one set of locations and a multivariate version is used when points can be labelled by a small number of groups. This article reviews the properties of Ripley's K function, then illustrates the computation and interpretation using data on the locations of trees in a swamp hardwood forest.

Comments

This preprint was published as Philip M. Dixon, "Ripley's K Function", Encyclopedia of Environmetrics (2002): 1796-1803.

Language

en

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