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swaRmverse: Swarm Space Creation (original) (raw)

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 PapadopoulouORCID iD [aut, cre], Simon Garnier ORCID iD [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

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