Lindsey, Were you able to resolve the issue with the extent? I too am having the same problem with a data set that I'm working on. I tried different extend (similar to you) but received the same error message:
kud50 <- getverticeshr(kudbreeding, 50)
Error in getvertices.estUD(x[[i]],percent,ida=names(x)[i],unin, : The grid is too small to allow the estimation of home range. You should rerun KernelUD with a larger extent parameter. R-code below that resulted in the error: kudbreeding <- kernelUD(locbreeding[,1],h='href',kern='bivnorm',same4all=TRUE,extent=25) kud50 <- getverticeshr(kudbreeding,50) I would greatly appreciate any input from those who have used KernelUD in adehabitat. Thanks, Andy -- View this message in context: http://r-sig-ecology.471788.n2.nabble.com/problem-with-kernel-UD-estimation-using-adehabitatHR-tp7578930p7579082.html Sent from the r-sig-ecology mailing list archive at Nabble.com.