Hello
I am trying hard to use adehabitat for estimating kernel home range using the LSCV method of smoothing but R crashes every time I try to perform this analysis on data sets that have over 15,000 rows in a .csv file - whereas if I am using the adhoc method of smoothing it works fine.
Any suggestions?
Many thanks
Louise

R code below:
data<-read.csv("BoobyFutm.csv")
xy = data[c("X", "Y")]
id<-data[,c("ID")]
coordinates(data) = c("X", "Y")
class(data)
kud<-kernelUD(data, h="LSCV", hlim=c(0.01,10)

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