title: Spatial analysis of two-species interactions.
abstract: 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.
authors.affiliation: Department of Zoology NJ-15, University of Washington, 98195, Seattle, WA, USA.
authors.forename: Mark
authors.initials: M
authors.lastname: Andersen
keywords: Mount St. Helens; Spatial point pattern; Spatial statistics; Species interactions; Statistical ecology