Hi List:
I am trying to estimate overlaps using the kerneloverlaphr function. The input 
objects are from estUDm class resulted from the BRB function. However, the 
overlap values seem odd, as low-overlapped "home ranges" had estimates as 
higher as the high-overlapped ones.
Anyone can say what I am doing wrong?
Following is an example:

####
library(adehabitatHR)

x<- runif(100,1,2)
y<-runif(100,1,2)
x1<-runif(50,2,3)
y1<-runif(50,2,3)
z<- seq(1:150)
x<-c(x,x1)
y<-c(y,y1)
xy <- as.matrix(data.frame(cbind(x,y)))
id <- as.factor(c(rep(1,50),rep(2,50),rep(3,50)))
class(z) <- "POSIXct"   
traject <- as.ltraj( xy, z, id, typeII=TRUE )
plot(traject)
D <- BRB.D(traject, Tmax=100, Lmin=0.05)
UD <- BRB(traject, D, tau=1, Tmax=100, Lmin=0.05, hmin=0.2) ## Biased random 
bridge

contr1 <- getverticeshr(UD[[1]], lev =50)
contr2 <- getverticeshr(UD[[2]], lev =50)
contr3 <- getverticeshr(UD[[3]], lev =50)

plot(contr1, col=rgb(0,0,0,0.2),xlim=c(0,3),ylim=c(0,3))  ## plot
plot(contr2, add=TRUE, col=rgb(0,0,0,0.2))
plot(contr3, add=TRUE, col=rgb(0,0,0,0.2))

kerneloverlaphr(UD, method = "PHR")   ## values seem wrong
###

Thank you in advance.
Guilherme

-- 
Guilherme de Miranda Mourão
Pesquisador A
Laboratório de Vida Selvagem

Embrapa Pantanal
Corumbá MS

[email protected]
www.cpap.embrapa.br

Fone:  +55 67   3234-5929
Fax:   +55 67   3234-5815

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