[R] [R-pkgs] adehabitat version 1.6

[Clément Calenge]

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

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