getverticeshr {adehabitatHR} | R Documentation |
Extract the home-range contour of one or several animals
Description
These functions allow the extraction of the home-range contours computed using various methods (kernel home range, cluster home range, etc.)
Usage
getverticeshr(x, percent = 95, ...)
## S3 method for class 'estUD'
getverticeshr(x, percent = 95, ida = NULL, unin = c("m", "km"),
unout = c("ha", "km2", "m2"),
standardize = FALSE, ...)
## S3 method for class 'estUDm'
getverticeshr(x, percent = 95, whi = names(x),
unin = c("m", "km"),
unout = c("ha", "km2", "m2"),
standardize = FALSE, ...)
## S3 method for class 'MCHu'
getverticeshr(x, percent = 95, whi = names(x), ...)
## Default S3 method:
getverticeshr(x, percent = 95, ...)
Arguments
x |
For |
percent |
a single value giving the percentage level for home-range estimation |
ida |
a character string indicating the id of the polygons
corresponding to the home range in the resulting
|
unin |
the units of the relocations coordinates. Either "m" for meters (default) 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) |
whi |
a vector of character strings indicating which animals should be returned. |
standardize |
a logical value indicating whether the UD should be standardized over the area of interest, so that the volume under the UD and *over the area* is equal to 1.. |
... |
Additional arguments to be passed to and from other methods |
Value
An object of class SpatialPolygonsDataFrame
containing the
selected home range contours of the animals.
Note
The function getverticeshr.default
is present for compatibility
purposes. Its use generates an error.
Author(s)
Clement Calenge clement.calenge@ofb.gouv.fr
See Also
kernelUD
, kernelbb
or
kernelkc
for methods generating objects of classes
estUD
and estUDm
,
clusthr
, LoCoH.a
and
CharHull
for methods generating objects of class
MCHu
.
Examples
### Example with a kernel home range
data(puechabonsp)
loc <- puechabonsp$relocs
## have a look at the data
head(as.data.frame(loc))
## the first column of this data frame is the ID
## Estimation of UD for the four animals
(ud <- kernelUD(loc[,1]))
## Calculates the home range contour
ver <- getverticeshr(ud, percent=95)
ver
plot(ver)
## Example with a cluster home range
clu <- clusthr(loc[,1])
ver2 <- getverticeshr(clu, percent=95)
ver2
plot(ver2)