caa a22 4500 469097531 CHVBK 20180323133035.0 cr unu---uuuuu 170328e19920801xx s 000 0 eng 10.1007/BF00317252 doi (NATIONALLICENCE)springer-10.1007/BF00317252 Andersen Mark Department of Zoology NJ-15, University of Washington, 98195, Seattle, WA, USA aut Spatial analysis of two-species interactions [Elektronische Daten] [Mark Andersen] 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. Springer-Verlag, 1992 Spatial point pattern nationallicence Spatial statistics nationallicence Species interactions nationallicence Statistical ecology nationallicence Mount St. Helens nationallicence Oecologia Springer-Verlag 91/1(1992-08-01), 134-140 0029-8549 91:1<134 1992 91 442 https://doi.org/10.1007/BF00317252 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00317252 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Andersen Mark Department of Zoology NJ-15, University of Washington, 98195, Seattle, WA, USA aut NATIONALLICENCE 773 0- Oecologia Springer-Verlag 91/1(1992-08-01), 134-140 0029-8549 91:1<134 1992 91 442 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer