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 |
DOI: |
10.32614/CRAN.package.SDLfilter |
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:
Downloads:
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