Dear R-Users, Using R, is there method for comparing two sets of kernel density surfaces? I need to implement either a goodness-of-fit test such as sm.density.compare [sm], but for bivariate kernel density surfaces, or find a means for calculating matrix comparison statistics for asymmetrical matrices. Background: I am investigating the territorial behavior of baboons in a closed habitat. My data are composed of point spatial coordinates marked with the length of occupation in seconds for each baboon observed (N=17). I want to estimate the spatial areas of habitual use and compare between individuals to assess wether the estimated territories are derived from the same distribution or not. I initially thought to use cross-K point pattern analysis, but I could not find a way to use the continuous variable attached to each data point. I also thought to use the method for comparing kernel density estimates describe by Fotheringham, Brunsdon and Charlton in "Quantitative Geography: Perspectives on Spatial Analysis", but I cannot find a way to implement the calculation of the variance for the comparison of the pairs of matrices. I appreciate any help in this matter. Thank You, Timothy Timothy S. Hare Mellon Postdoctoral Fellow and Lecturer Anthropology Department Grinnell College (641) 269-3966 204 Goodnow Hall fax (641) 269-4330 Grinnell, IA 50112-1690 haret at grinnell.edu "If a geographer is not fascinated by maps to the extent of always needing to be surrounded by them, then that is a clue that he or she [or zie] has chosen the wrong profession." -- Carl Sauer -------------- next part -------------- ---