Unsupervised, multivariate, binary clustering for meaningful annotation of data, taking into account the uncertainty in the data. A specific constructor for trajectory analysis in movement ecology yields behavioural annotation of trajectories based on estimated local measures of velocity and turning angle, eventually with solar position covariate as a daytime indicator, ("Expectation-Maximization Binary Clustering for Behavioural Annotation").
Version: 2.0.4 Imports: Rcpp (≥ 0.11.0), sp, methods, RColorBrewer, mnormt, suntools LinkingTo: Rcpp, RcppArmadillo Suggests: move, sf, rgl, knitr Published: 2023-10-03 DOI: 10.32614/CRAN.package.EMbC Author: Joan Garriga, John R.B. Palmer, Aitana Oltra, Frederic Bartumeus Maintainer: Joan Garriga <jgarriga at ceab.csic.es> License: GPL-3 | file LICENSE URL: <doi:10.1371/journal.pone.0151984> NeedsCompilation: yes Materials: NEWS In views: SpatioTemporal, Tracking CRAN checks: EMbC results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=EMbC to link to this page.
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