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 several demo files to allow an overview of these parts : demo(rastermaps), demo(homerange), demo(managltraj), demo(analysisltraj), demo(nichehs). * the package now contains a new function allowing the exploration of the ecological niche, which generalizes several factor analyses (ENFA, MADIFA, ...) and is closely related to several methods (Mahalanobis distances, selection ratios, etc.), named gnesfa() (see the examples of the help page for the properties of this analysis). * The class ltraj now distinguishes two types of trajects: type I (time not recorded, e.g. tracks of animals in the snow) and type II (time recorded, e.g. GPS monitoring). Trajects of type II may either be "regular" (constant time lag between relocations) or not. * Numerous example datasets have been added to the package to illustrate the analysis of animals trajects: 4 porpoises, 6 albatross, 1 hooded seal, 1 whale, 1 brown bear, two roe deer, two chamois, 4 ibex, 1 mouflon, 3 wild boar * Many functions have been added to allow the management of animals trajects within R: Some functions allow to handle the attributes or the storage of the trajects (typeII2typeI, typeI2typeII, sett0, cutltr, is.regular, is.sd, mindistkeep, offsetdate, set.limits), other allow to manage missing values and test their random distribution in the traject (setNA, summaryNAltraj, plotNAltraj, runsNAltraj), other allow a graphical exploration of the properties of the trajects (hist.ltraj, plot.ltraj, plotltr, sliwinltr). * Several functions now allow to test the independence of the descriptive parameters in the trajects (indmove and wawotest for dx, dy and dist, testang.ltraj for rel.angle and abs.angle) * Several functions allow to simulate common models of trajects: the correlated random walk (simm.crw), the brownian motion (simm.brown), the arithmetic brownian motion (simm.mba), the Ornstein Uhlenbeck process (simm.mou), the brownian bridge (simm.bb) and the Levy process (simm.levy). * The function explore.kasc() provides a Tk interface for the exploration of a multi-layer raster map of class "kasc" * A partitioning algorithm (still under research) is also available to partition a traject into segments with homogeneous properties (see the help page of modpartltraj) * The bugs in redisltraj and mcp.area have been corrected Happy testing, Clément CALENGE -- Clément CALENGE Laboratoire de Biométrie et Biologie évolutive UMR CNRS 5558 43 Bd. 11 Nov. 1918 69622 Villeurbanne Cedex - France Office national de la chasse et de la faune sauvage 95, rue Pierre Flourens 34000 Montpellier _______________________________________________ R-packages mailing list [EMAIL PROTECTED] https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
