SDLfilter: Filtering and Assessing the Sample Size of Tracking Data

Functions to filter GPS/Argos locations, as well as assessing the sample size for the analysis of animal distributions. The filters remove temporal and spatial duplicates, fixes located at a given height from estimated high tide line, and locations with high error as described in Shimada et al. (2012) <doi:10.3354/meps09747> and Shimada et al. (2016) <doi:10.1007/s00227-015-2771-0>. Sample size for the analysis of animal distributions can be assessed by the conventional area-based approach or the alternative probability-based approach as described in Shimada et al. (2021) <doi:10.1111/2041-210X.13506>.

Version: 2.3.3
Depends: R (≥ 3.5.0), ggplot2
Imports: geosphere, data.table, gridExtra, ggmap, maps, pracma, lubridate, dplyr, emmeans, utils, sf, stars, ggspatial
Published: 2023-11-10
Author: Takahiro Shimada
Maintainer: Takahiro Shimada <taka.shimada at gmail.com>
BugReports: https://github.com/TakahiroShimada/SDLfilter/issues
License: GPL-2 | file LICENSE
URL: https://github.com/TakahiroShimada/SDLfilter
NeedsCompilation: no
Citation: SDLfilter citation info
Materials: README NEWS
In views: Tracking
CRAN checks: SDLfilter results

Documentation:

Reference manual: SDLfilter.pdf

Downloads:

Package source: SDLfilter_2.3.3.tar.gz
Windows binaries: r-devel: SDLfilter_2.3.3.zip, r-release: SDLfilter_2.3.3.zip, r-oldrel: SDLfilter_2.3.3.zip
macOS binaries: r-release (arm64): SDLfilter_2.3.3.tgz, r-oldrel (arm64): SDLfilter_2.3.3.tgz, r-release (x86_64): SDLfilter_2.3.3.tgz
Old sources: SDLfilter archive

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