Hi Leila,
Please avoid cross posting. Choose one list, and if you do not have any
reply, try the other.
My question is:
Is there a way to use a bandwidth matrix to calculate a kernel in
adehabitat?
No, this approach is not implemented.
So far I've been calculating kernels using GME. However, I want to
calculate kernel overlap in adehabitat so I'd like to find a way to
include a plug-in bandwidth kernel in adehabitat if possible.
If anyone has any suggestions for either importing a GME-calculated
kernel file into adehabitat in a way that allows its conversion into
an estud class file, or using a bandwidth matrix for kernel
calculation in adehabitat, I would really appreciate it.
GME generates an ERDAS imagine map. I do not know this format very well,
but it should be possible either to convert it to an other format with a
GIS (e.g. ascii grid file) and to import it using readAsciiGrid from
maptools, or to import it directly using the functions of the package
rgdal (see the function readGDAL).
Once the map has been imported as a spatialPixelsDataFrame, say as an
object named ud, the conversion to the estUD class is straightforward:
fullgrid(ud) <- FALSE
hli <- list(h = 1, meth="specified")
ud <- new("estUD", ud)
slot(ud, "h") <- hli
slot(ud, "vol") <- FALSE
HTH,
Clément Calenge.
--
Clément CALENGE
Cellule d'appui à l'analyse de données
Direction des Etudes et de la Recherche
Office national de la chasse et de la faune sauvage
Saint Benoist - 78610 Auffargis
tel. (33) 01.30.46.54.14
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