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: 2.1.0
Depends: R (≥ 3.5.0), ggplot2
Imports: plotKML, sp, raster, trip, data.table, gridExtra, ggsn, stats, maps, pracma, plyr, ggmap, lubridate, dplyr
Published: 2021-04-03
Author: Takahiro Shimada
Maintainer: Takahiro Shimada <taka.shimada at>
License: GPL-2 | file LICENSE
NeedsCompilation: no
Citation: SDLfilter citation info
Materials: README NEWS
In views: SpatioTemporal, Tracking
CRAN checks: SDLfilter results


Reference manual: SDLfilter.pdf
Package source: SDLfilter_2.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): not available, r-release (x86_64): SDLfilter_2.1.0.tgz, r-oldrel: SDLfilter_2.1.0.tgz
Old sources: SDLfilter archive


Please use the canonical form to link to this page.