Dear list,

I'd like to calculate the home range of rodents using kernel estimation,
using time aggregation as a weight (i.e. if there is a lot of points taken
near this time the importance of this point reduced).

kernelkc function in adehabitatHR does something very similar but, it
calculates the 'weight' of a point based on it's temporal distance to a
given time (if i got it right), while I would need some way to consider all
my points when determinating the weight of a point (Katajisto & Moilanen
2006 method).

I can calculate the weights using this article, but is there some way to
insert weights in kernel home range estimation, or adapt kernelkcbase or
kernelUD to this need?

I've tried to modify kernelUD to accept weights, but the kernel calculation
is made in C, which I don't know how to modify. I've looked for other
bivariate gaussian kernels (sm.density{sm},density.ppp{spatstat}) who accept
weight, but they seem to give slighty different results, and I'm not sure if
have miscalculated something or it's just the difference between them.

Thanks in advance,
Jorge

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