spatsoc: Group Animal Relocation Data by Spatial and Temporal Relationship

Detects spatial and temporal groups in GPS relocations (Robitaille et al. (2020) <doi:10.1111/2041-210X.13215>). It can be used to convert GPS relocations to gambit-of-the-group format to build proximity-based social networks In addition, the randomizations function provides data-stream randomization methods suitable for GPS data.

Version: 0.1.14
Depends: R (≥ 3.4)
Imports: data.table (≥ 1.10.5), sp, rgeos, adehabitatHR, igraph, methods
Suggests: testthat (≥ 2.1.0), knitr, rmarkdown, asnipe, markdown
Published: 2020-07-03
Author: Alec L. Robitaille ORCID iD [aut, cre], Quinn Webber ORCID iD [aut], Eric Vander Wal ORCID iD [aut]
Maintainer: Alec L. Robitaille <robit.alec at gmail.com>
BugReports: https://github.com/ropensci/spatsoc/issues
License: GPL-3 | file LICENSE
URL: https://docs.ropensci.org/spatsoc, https://github.com/ropensci/spatsoc, http://spatsoc.robitalec.ca
NeedsCompilation: no
SystemRequirements: GEOS (>= 3.2.0)
Citation: spatsoc citation info
Materials: NEWS
CRAN checks: spatsoc results

Downloads:

Reference manual: spatsoc.pdf
Vignettes: Using edge list generating functions and dyad_id
FAQ
Introduction to spatsoc
Using spatsoc for social network analysis
Package source: spatsoc_0.1.14.tar.gz
Windows binaries: r-devel: spatsoc_0.1.14.zip, r-release: spatsoc_0.1.14.zip, r-oldrel: spatsoc_0.1.14.zip
macOS binaries: r-release: spatsoc_0.1.14.tgz, r-oldrel: spatsoc_0.1.14.tgz
Old sources: spatsoc archive

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