[R-sig-Geo] sp and adehabitatHR: combine UDs

[Mathieu Basille]

Well, if you want to combine several maps in one SpatialPixelsDataFrame,
there's really no other way than having the same grid for all individuals.
70 km in one dimension is only an issue if your grid has a cell size of a
few meters! If you keep it reasonable (say >= 100 m), that shouldn't be an
issue for processing time (which is a direct function of the resolution of
the grid, not the geographic size itself).

Mathieu.


Le 15/10/2015 01:14, Vv a écrit :
> 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 écrit :
>  > 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
> basille at ufl.edu | http://ase-research.org/basille
> +1 954-577-6314 | University of Florida FLREC
> 
> « Le tout est de tout dire, et je manque de mots
> Et je manque de temps, et je manque d'audace. »
> — Paul Éluard
> 
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-- 

Mathieu Basille
basille at ufl.edu | http://ase-research.org/basille
+1 954-577-6314 | University of Florida FLREC

  « Le tout est de tout dire, et je manque de mots
  Et je manque de temps, et je manque d'audace. »
  — Paul Éluard

This message is signed to guarantee its authenticity.
For a true private correspondence, use my public key
to encrypt your messages:
  http://mathieu.basille.net/pub.asc
Learn more: http://mzl.la/1BsOGiZ

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