rhrLoCoH: Local Convex Hull (LoCoH)

In jmsigner/rhr: Reproducible Home Ranges with R

Description

Function to estimate home ranges with local convex hulls.

Usage

rhrLoCoH(xy, type = "k", n = 10, levels = 95, minPts = 3,
  autoN = FALSE)

Arguments

xy	Instance of data.frame, SpatialPoints, SpatialPointsDataFrame or RhrMappedData. If xy is is a data.frame, then the first two columns are assumed to be the x and y coordinates of the relocations.
type	Scalar character, one of "k", "r", "a". Method to determine the tuning parameter n.
n	Numeric scalar, value of the tuning parameter.
levels	Numeric vector indicating percentages at which the home-range estimates should be evaluated.
minPts	Numeric scalar, the minimum number of neighbors required.
autoN	Boolean scalar, whether or not n should be determined automatically.

Details

Three different methods to determine the neighboring points are available:

• "k"uses k-nearest neighbors

• "r"uses all neighbors within a radius r

• "a"uses all neighbors that can be reached within a distance a. The distance to all points is calculated and then cummulatively summed starting from the smallest until a is reached.

. autoN attempts to estimate values for the tuning parameters k,r,a. If type is "k" then "n" is the square root of all locations. If type is "a" then "n" is the maximum distance between any two relocations. If type is "r" then "n" is 5

Value

Object of class RhrLoCoH

References

Getz, W. M., & Wilmers, C. C. (2004). A local nearest-neighbor convex-hull construction of home ranges and utilization distributions. _Ecography_, 27(4), 489-505.

Getz, W. M., Fortmann-Roe, S., Cross, P. C., Lyons, A. J., Ryan, S. J., & Wilmers, C. C. (2007). LoCoH: nonparameteric kernel methods for constructing home ranges and utilization distributions. _PloS one_, 2(2), e207.

jmsigner/rhr documentation built on June 26, 2020, 8:59 a.m.