Dear Members,

My objective is to establish weekly space/time kernels (using kernelkc),
separately for 20 animals (saved as ltraj class). Having done that I would
like to extract the 95% home range for each specified time period and
animal (using getverticeshrk) and save each as as a separate spatialpolygon
(sp class) - maintaining the id of the animal and timestamp indicating the
specific date of that kernelkc output. I am planning to use the
spatialpolygon to extract environmental variables at that specific
time/animal.

This example/attempt is based from an example found in the adehabitat
package:

#data
library(adehabitat)
puech <-data(puechcirc)

#time vector for kernel estimates to be calculated
vv <- seq(min(puechcirc[[2]]$date), max(puechcirc[[2]]$date),
          length=50)

## The estimate the UD
re <- lapply(1:length(vv),
             function(i) {
               uu <- kernelkc(impkoball, h=c(3000,3000,30*24*3600),
                              tcalc = vv[i], same4all=TRUE,
                              extent=0.1)
             })

#The above example does not include output for a home range
contours/polygon, i have tried various ways of including the following
functions inside the above function after the kernelkc function, which did
not work...:

hr <-getverticeshrk(uu, lev=95)

#and

lapply(1:length(uu), function(i) {
                 getverticeshrk(uu[[i]], clev=95)
           })

Any suggestions how I can make this work will be much appreciated. Thank
you for your time.

Regards,

Don

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