track2KBA: Identifying Important Areas from Animal Tracking Data

Functions for preparing and analyzing animal tracking data, with the intention of identifying areas which are potentially important at the population level and therefore of conservation interest. Areas identified using this package may be checked against global or regionally-defined criteria, such as those set by the Key Biodiversity Area program. The method published herein is an optimized and updated version of the method described in Lascelles et al. 2016 <doi:10.1111/ddi.12411>.

Version: 1.0.1
Depends: R (≥ 2.10)
Imports: adehabitatHR, dplyr, foreach, geosphere, ggplot2, lubridate, magrittr, maptools, methods, purrr, raster, rlang, sf (≥ 0.7-4), sp (≥ 1.4-1), tidyr
Suggests: adehabitatLT, doParallel, knitr, maps, Matching, move, parallel, rmarkdown, tinytest, rgeos, rgdal (≥ 1.5-0)
Published: 2021-08-07
Author: Martin Beal ORCID iD [cre], Steffen Oppel ORCID iD [aut], Maria Dias ORCID iD [aut], Mark Miller [ctb], Phillip Taylor [ctb], Virginia Morera-Pujol ORCID iD [ctb], Elizabeth Pearmain ORCID iD [ctb], Jonathan Handley ORCID iD [ctb], Ben Lascelles [ctb]
Maintainer: Martin Beal <martinbeal88 at>
License: LGPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: track2KBA results


Reference manual: track2KBA.pdf
Vignettes: track2KBA workflow


Package source: track2KBA_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): track2KBA_1.0.1.tgz, r-release (x86_64): track2KBA_1.0.1.tgz, r-oldrel: track2KBA_1.0.1.tgz
Old sources: track2KBA archive


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