Description Usage Arguments Value Note Author(s) See Also Examples
Minimum Convex Polygon (MCP)
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xy |
data.frame with two columns. The first column contains x coordinates and the second column contains y coordinates |
levels |
vector with the percentage of closest points to the centroid that are used to calculated MCP |
ud |
logical value, indicating whether or not a utilization distribution should be calculated. |
cud |
a logical value, indicating whether or not a cumulative utilization distribution should be calculated |
xrange |
vector of length two, with xmin and xmax for the UD |
yrange |
vector of length two, with ymin and ymax for the UD |
res |
the resolution for the ud. |
object of class RhrHREstimator
Computes the minimum convex polygon of a subset of
points. First the centroid of the home range is found
with rgeos::gCentroid
and then the '100 - levels'
points are used to calculate a minimum convex polygon.
Johannes Signer inspired from adehabitatHR::mcp
adehabitatHR::mcp
, rgeos::gConvexHull
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