search for: kernelbb

Dear all, I'm trying to get a Brownian bridge kernel (kernelbb) for each combination of two consecutive animal locations (see commands below) and put them, with a loop, inside a list. It works well at the beginning but after 42 runs, it appears the following warning : >Error in seq.default(yli[1], yli[2], by = diff(xg[1:2])) :  >  invalid (to - from)/b...

Hello R users, I think, I have an easy problem, but I can't solve it. I have defined home range size of my study animal by using kernelbb, but I couldn't find how to see the data of home range polygons like size and used smoothing parameter. Could anybody help me? Thank you, Mustafa [[alternative HTML version deleted]]

...quot;liker" has also been added, which estimates the one of the two smoothing parameters of the bridge kernel using a maximum likelihood approach (recommended in Horn et al., Ecology, in press). Examples of the help page demonstrate the use and interest of this function. Comparison between kernelbb and the Visual basic algorithm provided in the paper of Horn et al. returned consistent results. * The function kernelUD has also been improved. It now takes more than 50% less time than the previous version. In addition the "grid" argument of this function, now also allows a list of...

...quot;liker" has also been added, which estimates the one of the two smoothing parameters of the bridge kernel using a maximum likelihood approach (recommended in Horn et al., Ecology, in press). Examples of the help page demonstrate the use and interest of this function. Comparison between kernelbb and the Visual basic algorithm provided in the paper of Horn et al. returned consistent results. * The function kernelUD has also been improved. It now takes more than 50% less time than the previous version. In addition the "grid" argument of this function, now also allows a list of...

...ennis Murphy last week: myframe3$day <- as.Date(myframe3$myframestime) hrfun <- function(d) { dxy <- d[, c("Long", "Lat")] d_ltraj <- as.ltraj(dxy, d$myframestime, id = d$AnimalID) dLiker <- liker (d_ltraj, sig2 = 18, rangesig1= c(1, 100) ) dBB <- kernelbb(d_ltraj, sig1=dLiker$Ernie$sig1, sig2=18) data.frame(AnimalID = unique(d$AnimalID), day = unique(d$day), h = kernel.area(dBB, unout=c("km2"))) } ddply(myframe3, .(day), hrfun) # i.e. I calculated the size of the homerange for Animal "Ernie" at every single day. (The severa...

...e per package). Both their use and the theory underlying these functions are described there. To access it, type: vignette("packagename") * the home range estimation methods have been homogenized and return classes compliant with the classes of the package sp: - the functions kernelUD, kernelbb, BRB and kernelkc all return objects of class "estUDm", which are lists of objects of class "estUD". The class estUD extends the class SpatialPixelsDataFrame. - the function clusthr and LoCoH return objects of class "MCHu", which are lists of SpatialPolygonsDataFram...

...e per package). Both their use and the theory underlying these functions are described there. To access it, type: vignette("packagename") * the home range estimation methods have been homogenized and return classes compliant with the classes of the package sp: - the functions kernelUD, kernelbb, BRB and kernelkc all return objects of class "estUDm", which are lists of objects of class "estUD". The class estUD extends the class SpatialPixelsDataFrame. - the function clusthr and LoCoH return objects of class "MCHu", which are lists of SpatialPolygonsDataFram...

Hello, I tried to construct my very first loop today and completly failed :-( Maybe someone can help me? I have a dataframe somewhat like this one: myframe <- data.frame (Timestamp=c("24.09.2012 09:00", "24.09.2012 10:00", "24.09.2012 11:00", "25.09.2012 09:00", "25.09.2012 10:00", "25.09.2012