similar to: adehabitat version 1.5

Dear all, I have just uploaded to CRAN the version 1.6 of the package 'adehabitat'. Significant changes are listed below: * The package has been reorganized into four parts (see ?adehabitat-package for a description): (i) management of raster maps, (ii) habitat selection / ecological niche analysis, (iii) home range analysis, and (iv) analysis of animals trajects. The package contains

Dear all, I have just uploaded to CRAN the version 1.6 of the package 'adehabitat'. Significant changes are listed below: * The package has been reorganized into four parts (see ?adehabitat-package for a description): (i) management of raster maps, (ii) habitat selection / ecological niche analysis, (iii) home range analysis, and (iv) analysis of animals trajects. The package contains

Dear all, I have just uploaded to CRAN the version 1.4 of the package 'adehabitat'. Significant changes are listed below: - The eigenanalysis of selection ratios (Calenge and Dufour, 2006, Ecology) can now be performed using the function eisera(). It can be used for the analysis of habitat selection when habitat can be considered to consist of several habitat types (e.g.

Dear all, I have just uploaded to CRAN the version 1.4 of the package 'adehabitat'. Significant changes are listed below: - The eigenanalysis of selection ratios (Calenge and Dufour, 2006, Ecology) can now be performed using the function eisera(). It can be used for the analysis of habitat selection when habitat can be considered to consist of several habitat types (e.g.

Dear all, I have just uploaded to CRAN the version 1.3 of the package 'adehabitat'. Significant changes are listed below: - Several functions allowing the conversion from and to classes of the package sp have been added. Maps of class "asc", "kasc", "area", as well as radio-monitoring of class "traj" can now be converted to the spatial

Dear all, I have just uploaded to CRAN the version 1.3 of the package 'adehabitat'. Significant changes are listed below: - Several functions allowing the conversion from and to classes of the package sp have been added. Maps of class "asc", "kasc", "area", as well as radio-monitoring of class "traj" can now be converted to the spatial

Dear all, I have just uploaded to CRAN the version 1.2 of the package 'adehabitat'. This package now contains new functions for the estimation of home ranges (Nearest neighbour convex hull, brownian bridge approach for kernel estimation), estimation of schoener's ratio. This package now allows a better management of objects of class "area" (see plot.area, perarea, ararea).

Dear all, I have just uploaded to CRAN the version 1.2 of the package 'adehabitat'. This package now contains new functions for the estimation of home ranges (Nearest neighbour convex hull, brownian bridge approach for kernel estimation), estimation of schoener's ratio. This package now allows a better management of objects of class "area" (see plot.area, perarea, ararea).

Dear all, I have just uploaded a package to CRAN a new package called 'adehabitat'. This package is intended for ecologists who want to analyse the use of space by animals. Many functions currently used in this field are available to highlight habitat selection by animals (selection ratios, ENFA, habitat suitability maps with the algorithm DOMAIN or Resource Selection Functions) or to

Dear all, I have just uploaded a package to CRAN a new package called 'adehabitat'. This package is intended for ecologists who want to analyse the use of space by animals. Many functions currently used in this field are available to highlight habitat selection by animals (selection ratios, ENFA, habitat suitability maps with the algorithm DOMAIN or Resource Selection Functions) or to

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

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 all, I have uploaded to CRAN the version 1.8 of the package 'adehabitat'. Significant changes are listed below: * getverticeshr now relies on the function contourLines(), and returns smoother estimates of the kernel home range (see the help page). * the new function kernelkc (and related functions) now allows the estimation of the utilization distribution in space and time of

Dear All, I have a set of environental maps and presence-only points for some species. How can I generate distributions models on R using these presence-only data? What packages and functions can I use to do so? Kind regards, Miltinho Brazil [[alternative HTML version deleted]]

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

Is there a way to just build a madifa function in adehabitat just using a .csv file with presences and the corresponding environmental data? I'm trying to model the species distribution of a species using 45 environmental grids and r crashes after loading just 5 of them. I'd like to develop the function and then predict it using a line by line predict function, but can't figure out if

Dear all, I am currently running an ENFA in R using Adehabitat pkg to assess species distribution and I am really stuck and need some help to finalize my project. I run the ENFA in both original location data and pseudo-absence points (the latter randomly generated using dismo pkg), and now I would like to assess the performance of the ENFA, however, I am not sure about how to tackle this. I

Dear all, I am running an Ecological Niche Factor Analysis in R but I am stuck with a problem. As soon as I ask the software to compute the ENFA, I get the following error message: Error in eigen(Se) : infinite or missing values in 'x' Does anyone know what could be wrong. I do not have missing values in my dataset. Please follow the codes I used for my analysis so far: library

Dear all, I have just uploaded 4 new packages on CRAN, which are on the long term designed to replace the "old" package adehabitat: * adehabitatMA: functions to perform spatial operations (morphology, buffer, etc.) * adehabitatHS: functions for the analysis of habitat selection by wildlife * adehabitatHR: functions for home range estimation of animals * adehabitatLT: functions for