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SDLfilter  

Filtering and Assessing the Sample Size of Tracking Data
View on CRAN: Click here


Download and install SDLfilter package within the R console
Install from CRAN:
install.packages("SDLfilter")

Install from Github:
library("remotes")
install_github("cran/SDLfilter")

Install by package version:
library("remotes")
install_version("SDLfilter", "2.3.3")



Attach the package and use:
library("SDLfilter")
Maintained by
Takahiro Shimada
[Scholar Profile | Author Map]
First Published: 2018-02-08
Latest Update: 2023-11-10
Description:
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) and Shimada et al. (2016) . 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) .
How to cite:
Takahiro Shimada (2018). SDLfilter: Filtering and Assessing the Sample Size of Tracking Data. R package version 2.3.3, https://cran.r-project.org/web/packages/SDLfilter. Accessed 18 Apr. 2025.
Previous versions and publish date:
1.0.0 (2018-02-08 12:53), 1.1.0 (2018-04-28 05:09), 1.1.1 (2018-06-20 11:52), 1.2.0 (2019-02-18 09:10), 1.2.1 (2019-02-27 01:00), 2.0.0 (2020-05-04 15:40), 2.0.1 (2020-07-05 08:10), 2.1.0 (2021-04-03 15:40), 2.1.1 (2021-07-20 10:50), 2.1.2 (2021-11-02 09:20), 2.2.0 (2022-01-12 00:12), 2.2.1 (2022-05-24 12:10), 2.3.0 (2022-10-14 10:55), 2.3.1 (2023-01-16 09:00), 2.3.2 (2023-04-17 10:20)
Other packages that cited SDLfilter R package
View SDLfilter citation profile
Other R packages that SDLfilter depends, imports, suggests or enhances
Complete documentation for SDLfilter
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