Hi Mathieu,
thanks for the quick reply.
I have considered it but my problem is that this pre-defined grid would be way
too large (>70km in one dimension).
However, I have to admit that I haven't tried it yet.
Do you have experiences with that concerning processing time?
Thanks,
Ena
*Gesendet:* Donnerstag, 15. Oktober 2015 um 00:47 Uhr
*Von:* "Mathieu Basille" <basille.web at ase-research.org>
*An:* Vv <venek at gmx.at>, r-sig-geo at r-project.org
*Betreff:* Re: [R-sig-Geo] sp and adehabitatHR: combine UDs
Hi Ena,
I'm not sure I completely understand what you want to achieve, but did you
consider using a pre-defined grid (i.e. SpatialPixels) to constrain the
output? See the help from '?kernelbb':
grid: a number giving the size of the grid on which the UD should
be estimated. *Alternatively, this parameter may be an object
of class 'SpatialPixels'*, or a list of objects of class
'SpatialPixels', with named elements corresponding to each
level of the factor id
Hope this helps,
Mathieu.
Le 14/10/2015 09:11, Vv a ?crit :
> Hello list,
> I wonder if there already exists a solution on how to combine UDs.
> My intention is to create a reference UD for Mon, Tue, ...., Sun - thus, 7
> reference UDs.
> Hence, I compute for each Monday within my data the Brownian bridge home range.
> I do not use the byburst function because I use different grid parameters.
> Then I would like to (maybe) average all the estimated UDs for Mondays and
> create one single estUD or SpatialPixelsDataFrame.
> (To recreate an estUD would be awesome because then I could use getverticeshr to
> estimate the home range.)
> I tried to figure out an example:
> library(adehabitatHR)
> library(maptools)
> data(puechcirc)
>
> dOne<-puechcirc[1]
> dTwo<-puechcirc[2]
> tata1<-kernelbb(dOne, sig1=6.23, sig2=58, grid=50)
> tata2<-kernelbb(dTwo, sig1=3.72, sig2=58, grid=80)
> The goal should be to generate an extended averaged UD out of the two.
> I've already tried spRbind but of course it just returned the positions but not
> the data within the pixels.
> I also think that the different grid cell size could be challenging but for my
> data I have not find a better way
> to achieve ~50 meters cell size than to align the grid parameter on the data.
> I would appreciate any help :)
> Best, Ena
> (Of course I will send you the solution if I find one)
>
>
>
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>
--
Mathieu Basille
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+1 954-577-6314 | University of Florida FLREC
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