CharHull {adehabitatHR} | R Documentation |
The function CharHull
implements the method developed by Downs
and Horner (2009) for the home range estimation.
CharHull(xy, unin = c("m", "km"), unout = c("ha", "m2", "km2"), duplicates = c("random", "remove"), amount = NULL)
xy |
an object inheriting the class |
unin |
the units of the relocations coordinates. Either "m" (default) for meters or "km" for kilometers |
unout |
the units of the output areas. Either "m2" for square meters, "km2" for square kilometers or "ha" for hectares (default) |
duplicates |
a setting to determine how duplicated points are handled. If "random" the duplicated points are slightly moved randomly. If "remove" the duplicated points are removed. |
amount |
if |
This method consists in the computation of the Delaunay triangulation
of the set of relocations. Then, the triangles are ordered from the
smallest to the largest. It is possible to select a given percentage
of the smallest triangles (measured by their area) as the home-range
estimation. The contour can be extracted with the function
getverticeshr
an object of the class MCHu
This function relies on the package deldir
.
Clement Calenge clement.calenge@ofb.gouv.fr
Downs J.A. and Horner, M.W. (2009) A Characteristic-Hull Based Method for Home Range Estimation. Transactions in GIS, 13, 527–537.
MCHu
for further information on the class
MCHu
, and SpatialPolygonsDataFrame-class
for
additional information on this class. See getverticeshr
to extract a given home range contour.
## Not run: data(puechabonsp) lo<-puechabonsp$relocs[,1] ## Home Range Estimation res <- CharHull(lo) ## Displays the home range plot(res) ## Computes the home range size MCHu2hrsize(res) ## Computes the 95 percent home range ver <- getverticeshr(res) ver plot(ver) ## End(Not run)