Hi Leila,
Please avoid cross posting. Choose one list, and if you do not have any
reply, try the other.
I have a couple of further questions on calculating spatial overlap in
adehabitat. I apologise if these questions are pretty evident - I'm
still learning the ropes. I want to calculate home range overlap for
both classical kernel density home ranges, and also for biased random
bridge home range estimates.
I am trying to use the kerneloverlap() function, but have a couple of
issues:
Does anyone know of a way to combine different estUD files into an
estUDm for this function?
if ud1, ud2, and ud3 are three estUD objects, then to build an estUDm
object:
liud <- list(animal1=ud1, animal2=ud2, animal3=ud3)
class(liud) <- "estUDm"
[snip]
Secondly, when I do get estimates of UDOI overlap, they appear a bit
strange, given the home range contours. I am getting some huge
estimates (>10 for some animals with 95% contours that don't touch)
and quite low estimates (~0.1) for situations where a HR is completely
inside another. Does anyone have any suggestions or references that
can point me in the right direction on this one?
Hard to say without any reproducible example… It could be an error in
your UD maps, in the way you handle them, etc. But it is hard to say
since you did not provide the code and a sub-sample of your dataset
illustrating the problem. Also, which function are you using:
kerneloverlap or kerneloverlaphr? Also, it is recommended to use the
newer package adehabitatHR for this kind of calculation (I guess that
this is the case, as you are talking about the estUD class, which was
not implemented in adehabitat, but you indicated the package adehabitat
and not adehabitatHR in your message). Finally, did you set
conditional=TRUE or not? I need the code here…
Best regards,
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
_______________________________________________
AniMov mailing list
[email protected]
http://lists.faunalia.it/cgi-bin/mailman/listinfo/animov
