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 .


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1.0.1 by Martin Beal, 6 months ago

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Authors: Martin Beal [cre] , Steffen Oppel [aut] , Maria Dias [aut] , Mark Miller [ctb] , Phillip Taylor [ctb] , Virginia Morera-Pujol [ctb] , Elizabeth Pearmain [ctb] , Jonathan Handley [ctb] , Ben Lascelles [ctb]

Documentation:   PDF Manual  

LGPL-3 license

Imports adehabitatHR, dplyr, foreach, geosphere, ggplot2, lubridate, magrittr, maptools, methods, purrr, raster, rlang, sf, sp, tidyr

Suggests adehabitatLT, doParallel, knitr, maps, Matching, move, parallel, rmarkdown, tinytest, rgeos, rgdal

See at CRAN