Description Usage Arguments Value Note References Examples
calculate home range asymptote
1 2 3 | rhrAsymptote(x, ns = seq(100, nrow(dat(x)), 500),
nrep = 10, tolTotArea = 0.05, nTimes = 5,
sampling = "sequential")
|
x |
RhrHREstimator object |
ns |
numeric vector of the number of samples to be taken at each step |
nrep |
the number of replicates for each sample size |
tolTotArea |
tolerance to the total area (that is the area using all points) |
nTimes |
the number of times the confidence interval is required to be within tolerated total area |
sampling |
this should be either random or sequential. See notes for details. |
An object of class RhrHRAsymptote
Bootstrapped home ranges are calculated for different sample sizes. Starting from very few samples until the sample size approaches the total number of points. Home range sizes are then plotted against the sample sizes. Laver (2005, 2005) suggested to use the following cutoff value: the number of location estimates at which the 95 % confidence interval of the bootstrapped home-range estimates is within a specified percentage of the total home range size (that is the size of the home range with all relocations) for at least n times. Harris 1990 suggested to use random sampling for discontinuous radio tracking data and sequential sampling for continuous radio tracking data.
Peter N Laver. Cheetah of the serengeti plains: a home range analysis. Master's thesis, Virginia Polytechnic Institute and State University, 2005
Peter N. Laver and Marcella J. Kelly. A critical review of home range studies. The Journal of Wildlife Management, 72(1):290-298, 2008
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