Hi all, I have just started learning R and the statistics related to home range analysis. Currently I have a problem that I suspect is conceptual straightforward: for 2 distant populations, I like to output some metric for their contact rate (i.e., volume of joint probability density function) within a specified region in space.
As a test example, in default data *puechabonsp *with 4 individuals, if I suppose each individual is actually a population, I can visualize the UD overlap between population 1 and 2 by running commands: > kudl <- kernelUD(puechabonsp$relocs[,1], h="LSCV") > vud <- getvolumeUD(kudl) > xyzv <- as.image.SpatialGridDataFrame(vud[[1]]) > contour(xyzv, add=TRUE) > xyzv2 <- as.image.SpatialGridDataFrame(vud[[2]]) > contour(xyzv2, add=TRUE,col = 'red') which gives [image: Inline image 1] However, how can I evaluate, potentially via one of the kerneloverlap functions, the overlap (or some other metric for contact likelihood between individuals of each populations) within a defined square, say, xlim = [700000, 701000] and ylim = [3161500,3162000]? Thank you very much for your help! Cheers, Yun -- Ph.D University of California, Davis
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