bcpa: Behavioral Change Point Analysis of Animal Movement
The Behavioral Change Point Analysis (BCPA) is a method of
identifying hidden shifts in the underlying parameters of a time series,
developed specifically to be applied to animal movement data which is
irregularly sampled. The method is based on: E. Gurarie, R. Andrews and
K. Laidre A novel method for identifying behavioural changes in animal
movement data (2009) Ecology Letters 12:5 395-408. A development version is
on <https://github.com/EliGurarie/bcpa>. NOTE: the BCPA method may be useful
for any univariate, irregularly sampled Gaussian time-series, but animal
movement analysts are encouraged to apply correlated velocity change point
analysis as implemented in the smoove package, as of this writing on GitHub
at <https://github.com/EliGurarie/smoove>. An example of a univariate analysis
is provided in the UnivariateBCPA vignette.
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