| Literature DB >> 28313385 |
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.Keywords: Mount St. Helens; Spatial point pattern; Spatial statistics; Species interactions; Statistical ecology
Year: 1992 PMID: 28313385 DOI: 10.1007/BF00317252
Source DB: PubMed Journal: Oecologia ISSN: 0029-8549 Impact factor: 3.225