parametric_homeranges: Estimation of parametric home ranges

In jmsigner/rhr: Reproducible Home Ranges with R

Description

Estimators for unimodal and bimodal, bivariate circular and normal home ranges.

Usage

rhrUniCirc(xy, trast = rhrRasterFromExt(rhrExtFromPoints(xy, extendRange =
  0.2), nrow = 100, res = NULL), levels = 95)

rhrUniNorm(xy, trast = rhrRasterFromExt(rhrExtFromPoints(xy, extendRange =
  0.2), nrow = 100, res = NULL), levels = 95)

rhrBiCirc(xy, trast = rhrRasterFromExt(rhrExtFromPoints(xy, extendRange =
  0.2), nrow = 100, res = NULL), levels = 95)

rhrBiNorm(xy, trast = rhrRasterFromExt(rhrExtFromPoints(xy, extendRange =
  0.2), nrow = 100, res = NULL), levels = 95, maxit = 20)

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.
trast	Instance of RasterLayer that serves as a template for the resulting grid of the estimation.
levels	Numeric vector indicating percentages at which the home-range estimates should be evaluated.
maxit	Integer, giving the maximum number of iterations. See also mixtools::mvnormalmixEM, which is called.

Details

rhrUniCirc and rhrUniNorm estimate uni modal bivariate normal and circular home-ranges. rhrBiCir estimates bimodal circular home ranges and rhrBiNormal a mixture of two bivariate normal home range using the estimation maximization algorithm.

References

Horne, J. S., & Garton, E. O. (2006). Selecting the best home range model: an information-theoretic approach. Ecology, 87(5), 1146-1152.

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