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Spatial analysis of two-species interactions
Authors:Mark Andersen
Affiliation:(1) Department of Zoology NJ-15, University of Washington, 98195 Seattle, WA, USA;(2) Department of Ecology and Evolutionary Biology, University of California, 92717 Irvine, CA, USA
Abstract:Summary In this paper, I present and discuss some methods for the analysis of univariate and bivariate spatial point pattern data. Examples of such data in ecology include x-y coordinates of organisms in mapped field plots. I illustrate the methods with analyses of data from mapped field plots on Mount St. Helens, Washington state, USA. The statistical methods I emphasize are graphical methods that rely on analysis of distances between organisms. Hypothesis testing for methods like these is easily done using Monte Carlo methods, which I also discuss. For both univariate and bivariate analyses, I find that second-order methods such as K-function plots are often preferable to first-order methods (i.e., QQ-plots). However, for multivariate analyses, these second-order methods are more sensitive to small sample sizes than first-order analyses.
Keywords:Spatial point pattern  Spatial statistics  Species interactions  Statistical ecology  Mount St. Helens
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