[R-sig-eco] adehabitatHR: kerneloverlap and kernelUD

[ellepero]

Hello all:

I have some questions regarding the kerneloverlap function within the
adehabitatHR package, and must offer my apologies if they seem rather base:

-I understand that the comparisons between the HR method for kerneloverlap
and MCP overlap are often misleading. Why doesn't this method make for a
good comparison to MCP area intersection?

-kerneloverlap function computes indices from sets of relocations, whereas
kerneloverlaphr computers indices from estUDs. Why might one be preferred
over the other?

-I notice in working with the kerneloverlap function that the selected grid
size influences home range overlap. What is the best way to select a
biologically meaningful grid size?

-When trying to work with the kerneloverlaphr, I am given the warning "In vi
* vj : longer object length is not a multiple of shorter object length". I'm
afraid I can't say I really understand this statement (as each animal has
the same number of relocations) nor what the function is doing with my data
to account for it.

-I also realize that an issue with the kernel UD LSCV estimate is that the
cross-validation criterion sometimes fails to be minimized. But /why/ is
this sometimes the case? i.e. what about the relocations might cause this?

Any feedback would be greatly appreciated!
Ellen Pero
M.Sc. Candidate
Department of Biological Sciences
University of Manitoba
Winnipeg, MB



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