Provides a pipeline for the comparative analysis of collective movement data (e.g. fish schools, bird flocks, baboon troops) by processing 2-dimensional positional data (x,y,t) from GPS trackers or computer vision tracking systems, discretizing events of collective motion, calculating a set of established metrics that characterize each event, and placing the events in a multi-dimensional swarm space constructed from these metrics. The swarm space concept, the metrics and data sets included are described in: Papadopoulou Marina, Furtbauer Ines, O'Bryan Lisa R., Garnier Simon, Georgopoulou Dimitra G., Bracken Anna M., Christensen Charlotte and King Andrew J. (2023) <doi:10.1098/rstb.2022.0068>.
Version: 0.1.1 Depends: R (≥ 3.5) Imports: parallel, pbapply, Rtsne, trackdf, swaRm, geosphere Suggests: knitr, rmarkdown, ggplot2, testthat (≥ 3.0.0), covr Published: 2024-10-10 DOI: 10.32614/CRAN.package.swaRmverse Author: Marina Papadopoulou [aut, cre], Simon Garnier [ctb, cph] Maintainer: Marina Papadopoulou <m.papadopoulou.rug at gmail.com> BugReports: https://github.com/marinapapa/swaRmverse/issues License: GPL-3 URL: https://marinapapa.github.io/swaRmverse/, https://github.com/marinapapa/swaRmverse NeedsCompilation: no Citation: swaRmverse citation info Materials: README, NEWS CRAN checks: swaRmverse results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=swaRmverse to link to this page.
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