similar to: adehabitatMA, LT, HR and HS version 0.1

Thank you for providing the example code... for the request of running it multiple times it would have helped if you could have confirmed that the example ran through without errors... there were a lot of mistakes in it. Look into using the reprex package to check your example next time. I don't do this kind of analysis... I really don't know what to expect from the functions. The

Hello I wonder if anybody can help, I am using the package adehabitatHR to estimate the potential distribution of a species using the command "domain" In the example given in the AdehabitatHS manual a map containing elevation information is loaded (class= spatial pixels data frame) as well as the GPS points of the animals being tracked, these are then plotted on each other and

Dear R experts, I'm using the adehabitatHR package in order to perform a kernel analysis and estimate the home range of my input data (GPS relocations of 42 individuals). I've done the analysis for one of the individuals and it worked perfectly (see code below). But now I'm trying to use a list and call the function lapply to do the same thing through all the 42 individuals (also see

Hello, I am working through examples of generating Home Range using the adehabitatHR package. Everything is going fine until I load the code for the kernelUD function, it looks like this; > data(puechabonsp) > kud <- kernelUD(puechabonsp$relocs[,1], h="href") > kud I then get an error of; Error: could not find function "kernelUD" Any thoughts on what I am

Hello, I'm new to R and am trying to use the adehabitat package for home range and habitat selection analysis for some animal radiotelemetry data sets I have, but I can't get the home range functions (mcp & kernelUD) to work with my data. I think that my problem is that I don't properly understand how the package uses data frames and factors, and I may not be defining the id

Hi,  I am looking to perform a kernel density analysis in R, following the script that a friend of mine is using successfully. However, unlike for her, when I enter >kud<-kernelUD(data, h="LSCV"), R crashes and closes every time. This does not happen when I perform a different kernel analysis (>kud<-kernelUD(data)).. I have tried to un-install and re-install R, but it still

Dear List, It's the first time that I try to request your support. I intent do use the BRB (Biased Random Bridge) function with a boundary. I believe I have made sure to fulfill all the rules for boundaries (segment length, angle of junction) When calculating the UD I get the following Error: Error in adehabitatHR:::.fbboun(sor2, boundary, sigg, max(so$h)) : non convenient sign Can

Dear all, I have a data similar to this: myframe<- data.frame (ID=c("Ernie", "Ernie","Ernie","Ernie"), Timestamp=c("24.09.2012 08:00", "24.09.2012 09:00", "24.09.2012 10:00", "25.09.2012 10:00"), Longitude=c("8.481","8.482","8.483","8.481"),

Today I installed the newest R develepment branch R version 2.14.0 Under development (unstable) (2011-03-18 r54866) on FreeBSD 9.0-CURRENT (amd64). All seems fine so far. After that I updated my R packages with option 'checkBuilt=TRUE'. There are four packages (spatstat, pscl, adehabitatLT, adehabitatHR) which gives an error like this: Error in dyn.load(file, DLLpath = DLLpath, ...) :

Dear all, I have uploaded to CRAN the version 1.7 of the package 'adehabitat'. Significant changes are listed below: * The Brownian bridge kernel estimation algorithm has been greatly improved. It now takes more than 80% less time than the previous version. A new function "liker" has also been added, which estimates the one of the two smoothing parameters of the bridge

Dear all, I have uploaded to CRAN the version 1.7 of the package 'adehabitat'. Significant changes are listed below: * The Brownian bridge kernel estimation algorithm has been greatly improved. It now takes more than 80% less time than the previous version. A new function "liker" has also been added, which estimates the one of the two smoothing parameters of the bridge

Hi all, here's a proposal for a SoC project on wildlife movement patterns analysis. A MSc student is available to anwser the call, of course. The idea has already been briefly discussed with the mantainer of the adehabitat package and the AniMov project community. Short description Develop some add-on functions to use the adehabitat package to perform basic movement ecology analysis, in

Hi R- User,I tried to load package adehabitat for R version 2.15.0. But, I got error. even I download and save in local drive and tried to install from the local file. but still i got the following errors install.packages("adehabitat", repos='C:/adehabitat_1.8.10.tgz') package ‘adehabitat’ is not available (for R version 2.15.0) > install.packages("adehabitat",

Hey all, I've run into a few problems running first passage time analysis. I'm hoping someone might be able to help me sort this out. I'm fine up to the point of creating the ltraj object from a dataset. /test<-read.table("~/Desktop/R_Directory/test.txt",header=TRUE) attach(test) library(adehabitatLT) xy<-test[,c("x","y")]

Hello all, I'm new to adehabitat and am having trouble getting my ascii files into the r. I have 45 environmental data layers that are all stored in a folder as ascii files. Is there an easy way to pull in all 45 of my data layers into a kasc dataframe. I'm not new to r or multivariate modeling, but the documentation seems confusing. I've experimented with bringing a few of them in 1

Dear list, ? I am intersted in estimating movement based kernel densities for fish that were relocated at fixed receivers positioned along the coast. These data tend to display both a drift movment between receivers and a random movement component that can be estimated from the mean and the variance of the transit time between receivers. ?If I obtain an estimate of the diffusion coefficient from

We're announcing the initial CRAN release of 'rpostgisLT' (v0.4.0), which is an extension to our 'rpostgis <https://cran.r-project.org/web/packages/rpostgis/index.html>' package. rpostgisLT is aimed at those using R and/or the PostgreSQL/PostGIS database system to manage and analyze animal trajectory (movement) data. Package functions allow bi-directional transfer between

We're announcing the initial CRAN release of 'rpostgisLT' (v0.4.0), which is an extension to our 'rpostgis <https://cran.r-project.org/web/packages/rpostgis/index.html>' package. rpostgisLT is aimed at those using R and/or the PostgreSQL/PostGIS database system to manage and analyze animal trajectory (movement) data. Package functions allow bi-directional transfer between

Hello, I've been trying to calculate home range sizes (for Icelandic geese!) using minimum convex polygons with the adehabitat package. I've tried to use the R code shown by demo(homerange) in adehabitat and when that didn't work I've fiddled around with it but to no avail...Below is the output of the demo that I've attempted to follow, followed by a subset of my data (for one

Dear all, I'm using the package adehabitat in R to import several .asc files (=matrix), and also create a kasc object (=dataframe) with all of them. The main idea is to use this kasc object to map the predicted values of climate-matching model for an overall area. However, I don't know how to proceed: Do I have to project the model (already stored in R) onto the kasc object directly, or