Thank very much!!!!!! 
 
I want to use the adehabitat but as you realised I mixed up both packages 
thinking their command were the same.  I got almost crazy to understand why 
this error happened. 😊  
 
Can I ask you some doubts about the adehabitat packages and its commands?
 
Laila
 
> From: [email protected]
> Subject: AniMov Digest, Vol 89, Issue 4
> To: [email protected]
> Date: Thu, 25 Jul 2013 23:45:52 +0200
> 
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> Today's Topics:
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>    1. Kernel density surfaces (laila Aranda Romero)
>    2. Re: Kernel density surfaces (Johannes Signer)
> 
> 
> ----------------------------------------------------------------------
> 
> Message: 1
> Date: Thu, 25 Jul 2013 21:07:53 +0000
> From: laila Aranda Romero <[email protected]>
> To: "[email protected]" <[email protected]>
> Subject: [AniMov] Kernel density surfaces
> Message-ID: <[email protected]>
> Content-Type: text/plain; charset="iso-8859-1"
> 
> He everybody, 
>  
> I'm studying the migration pattern  and wintering distribution of the Great 
> shearwater using geolocation data. For this, I want to work out the kernel 
> density surfaces using the package adehabitat of R. However, I've some 
> problems when I'm trying to run my script.
>  
> Original data:
> head(Geo7)
>      lon latcom
> 27 30.73 -41.08
> 30 37.44 -40.66
> 31 37.59 -40.54
> 33 46.27 -43.86
> 35 49.94 -43.25
> 38 53.52 -40.07
> > class(Geo7)
> [1] "data.frame"
> > str(Geo7)
> 'data.frame': 160 obs. of  2 variables:
>  $ lon   : num  30.7 37.4 37.6 46.3 49.9 ...
>  $ latcom: num  -41.1 -40.7 -40.5 -43.9 -43.2 .. 
> Script: 
> Geo7 <- subset(Geo6b, select=c (lon, latcom)) ########## cambiar latitud y 
> longitud de orden    
> location<-project(Geo7,list(proj="laea", lat_O=1,lon_0=2, x_0=6, 
> y_0=7),inverse=FALSE, degrees=TRUE, silent=FALSE)  #### we use Lambert 
> azimuthal equal-area projection
> location1a <- data.frame(location)     #### It's necessary to convert the 
> list into dataframe
> xy= location1a[c("x", "y")]
> class(location1a)
> coordinates(location1a) <- ~x+y      ###### To convert mapping coordinates to 
> Spatial points
> class(location1a)
>  
> ################KERNEL
> Kernel1<-kernelUD(location1a, h="href",grid=40,same4all=F, 
> hlim=c(0.1,1.5),kern=c("bivnorm"),extent=0.5)    ###
> image(Kernel1, axes=FALSE, mar=c(0,0,2,0), addcontour=TRUE, addpoints=TRUE)
> kernel2 <-getvolumeUD(Kernel1)
> Kernel3 <- kernel.area(kernel2, id=NULL, h="href", grid=40, same4all=FALSE, 
> hlim=c(0.1,1.5), kern="bivnorm", levels=seq(25,95,by=10), unin=c("m"), 
> unout=c("m2"), extent=0.5)   ###### same problem I need two columns instead 
> of oneele
> Kernel6<-getverticeshr(Kernel1,lev=40)
> image(Kernel1)  ### problemas con la paleta por eso he eliminado 
> col=rainbow(4)
> plot(Kernel6, add=TRUE)
> Kernel7 <- getverticeshr(kernel1,lev=90)
> image(Kernel1)
> plot(Kernel6, add=TRUE)
>  
> When a run it:
> location<-project(Geo7,list(proj="laea", lat_O=1,lon_0=2, x_0=6, 
> y_0=7),inverse=FALSE, degrees=TRUE, silent=FALSE)  #### we use Lambert 
> azimuthal equal-area projection
> > class(location)
> [1] "list"
> > str(location)
> List of 2
>  $ x: num [1:160] 2533084 3115667 3132780 3682706 3994351 ...
>  $ y: num [1:160] -4593850 -4615167 -4603968 -5069889 -5060989 ...
> > location1a <- data.frame(location)     #### It's necessary to convert the 
> > list into dataframe
> > xy= location1a[c("x", "y")]
> > class(location1a)
> [1] "data.frame"
> > coordinates(location1a) <- ~x+y      ###### To convert mapping coordinates 
> > to Spatial points
> > class(location1a)
> [1] "SpatialPoints"
> attr(,"package")
> [1] "sp"  Kernel1<-kernelUD(location1a, h="href",grid=40,same4all=F, 
> hlim=c(0.1,1.5),kern=c("bivnorm"),extent=0.5)    ###
> Error en if (ncol(xy) != 2) stop("xy should have 2 columns") : 
>   argumento tiene longitud cero I would appreciate a lot if someone can help 
> me to find a solution to this error.  Laila                                   
>      
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> ------------------------------
> 
> Message: 2
> Date: Thu, 25 Jul 2013 23:45:48 +0200
> From: Johannes Signer <[email protected]>
> To: Animal Movement <[email protected]>
> Subject: Re: [AniMov] Kernel density surfaces
> Message-ID:
>       <CAC8qavs_gJNVT_27R3Fp2BfCRgm6jg7oBk5eL8x=gbg+s+m...@mail.gmail.com>
> Content-Type: text/plain; charset="iso-8859-1"
> 
> Hello Laila,
> 
> do you possibly mix adehabitat and adehabitatHR? See code below.
> 
> Hope this helps,
> Johannes
> 
> 
> library(adehabitat)
> library(adehabitatHR)
> library(proj4)
> 
> ## Original data:
> 
> Geo7 <- read.table(textConnection("
>      lon latcom
> 27 30.73 -41.08
> 30 37.44 -40.66
> 31 37.59 -40.54
> 33 46.27 -43.86
> 35 49.94 -43.25
> 38 53.52 -40.07"), header=TRUE)
> 
> 
> 
> location <- proj4::project(Geo7,list(proj="laea", lat_O=1,lon_0=2, x_0=6,
> y_0=7),inverse=FALSE, degrees=TRUE, silent=FALSE)  #### we use Lambert
> azimuthal equal-area projection
> 
> location1a <- data.frame(location)     #### It's necessary to convert the
> list into dataframe
> xy= location1a[c("x", "y")]
> class(location1a)
> coordinates(location1a) <- ~x+y      ###### To convert mapping coordinates
> to Spatial points
> class(location1a)
> 
> ################ KERNEL
> ## Do you load adehabitat or adehabitatHR?
> 
> ## This fails, because adehabitat::kernelUD requires coordinates as a data
> frame
> Kernel1 <- adehabitat::kernelUD(location1a, h="href",grid=40,same4all=F,
> hlim=c(0.1,1.5),kern=c("bivnorm"),extent=0.5)    ###
> ## Error in if (ncol(xy) != 2) stop("xy should have 2 columns") :
> ##  argument is of length zero
> 
> ## Works
> Kernel1 <- adehabitat::kernelUD(data.frame(location),
> h="href",grid=40,same4all=F,
> hlim=c(0.1,1.5),kern=c("bivnorm"),extent=0.5)    ###
> 
> 
> ## Works as expected
> Kernel1 <- adehabitatHR::kernelUD(location1a, h="href",grid=40,same4all=F,
> hlim=c(0.1,1.5),kern=c("bivnorm"),extent=0.5)    ###
> 
> 
> 
> On Thu, Jul 25, 2013 at 11:07 PM, laila Aranda Romero <[email protected]
> > wrote:
> 
> > He everybody,
> >
> > I'm studying the migration pattern  and wintering distribution of the
> > Great shearwater using geolocation data. For this, I want to work out the
> > kernel density surfaces using the package adehabitat of R. However, I've
> > some problems when I'm trying to run my script.
> >
> > Original data:
> >
> > head(Geo7)     lon latcom
> > 27 30.73 -41.08
> > 30 37.44 -40.6631 37.59 -40.54
> > 33 46.27 -43.86
> > 35 49.94 -43.25
> > 38 53.52 -40.07> class(Geo7)[1] "data.frame"> str(Geo7)'data.frame':        
> > 160 obs. of  2 variables:
> >  $ lon   : num  30.7 37.4 37.6 46.3 49.9 ...
> >  $ latcom: num  -41.1 -40.7 -40.5 -43.9 -43.2 ..
> >
> >
> > Script:
> > Geo7 <- subset(Geo6b, select=c (lon, latcom)) ########## cambiar latitud y
> > longitud de orden
> > location<-project(Geo7,list(proj="laea", lat_O=1,lon_0=2, x_0=6,
> > y_0=7),inverse=FALSE, degrees=TRUE, silent=FALSE)  #### we use Lambert
> > azimuthal equal-area projection
> > location1a <- data.frame(location)     #### It's necessary to convert the
> > list into dataframe
> > xy= location1a[c("x", "y")]
> > class(location1a)
> > coordinates(location1a) <- ~x+y      ###### To convert mapping coordinates
> > to Spatial points
> > class(location1a)
> >
> > ################KERNEL
> > Kernel1<-kernelUD(location1a, h="href",grid=40,same4all=F,
> > hlim=c(0.1,1.5),kern=c("bivnorm"),extent=0.5)    ###
> > image(Kernel1, axes=FALSE, mar=c(0,0,2,0), addcontour=TRUE, addpoints=TRUE)
> > kernel2 <-getvolumeUD(Kernel1)
> > Kernel3 <- kernel.area(kernel2, id=NULL, h="href", grid=40,
> > same4all=FALSE, hlim=c(0.1,1.5), kern="bivnorm", levels=seq(25,95,by=10),
> > unin=c("m"), unout=c("m2"), extent=0.5)   ###### same problem I need two
> > columns instead of oneele
> > Kernel6<-getverticeshr(Kernel1,lev=40)
> > image(Kernel1)  ### problemas con la paleta por eso he eliminado
> > col=rainbow(4)
> > plot(Kernel6, add=TRUE)
> > Kernel7 <- getverticeshr(kernel1,lev=90)
> > image(Kernel1)
> > plot(Kernel6, add=TRUE)
> >
> > When a run it:
> >
> > location<-project(Geo7,list(proj="laea", lat_O=1,lon_0=2, x_0=6, 
> > y_0=7),inverse=FALSE, degrees=TRUE, silent=FALSE)  #### we use Lambert 
> > azimuthal equal-area projection> class(location)[1] "list"> 
> > str(location)List of 2
> >  $ x: num [1:160] 2533084 3115667 3132780 3682706 3994351 ...
> >  $ y: num [1:160] -4593850 -4615167 -4603968 -5069889 -5060989 ...> 
> > location1a <- data.frame(location)     #### It's necessary to convert the 
> > list into dataframe> xy= location1a[c("x", "y")]> class(location1a)[1] 
> > "data.frame"> coordinates(location1a) <- ~x+y      ###### To convert 
> > mapping coordinates to Spatial points> class(location1a)[1] "SpatialPoints"
> > attr(,"package")
> > [1] "sp"
> >
> >
> >
> >
> >
> > Kernel1<-kernelUD(location1a, h="href",grid=40,same4all=F, 
> > hlim=c(0.1,1.5),kern=c("bivnorm"),extent=0.5)    ###Error en if (ncol(xy) 
> > != 2) stop("xy should have 2 columns") :
> >   argumento tiene longitud cero
> >
> >
> >
> > I would appreciate a lot if someone can help me to find a solution to this 
> > error.
> >
> >
> >
> > Laila
> >
> >
> > _______________________________________________
> > AniMov mailing list
> > [email protected]
> > http://lists.faunalia.it/cgi-bin/mailman/listinfo/animov
> >
> >
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