glscalibrator: Automated Calibration and Analysis of 'GLS' (Global Location Sensor) Data (original) (raw)

Provides a fully automated workflow for calibrating and analyzing light-level geolocation ('GLS') data from seabirds and other wildlife. The 'glscalibrator' package auto-discovers birds from directory structures, automatically detects calibration periods from the first days of deployment, processes multiple individuals in batch mode, and generates standardized outputs including position estimates, diagnostic plots, and quality control metrics. Implements the established threshold workflow internally, following the methods described in 'SGAT' (Wotherspoon et al. (2016) <https://github.com/SWotherspoon/SGAT>), 'GeoLight' (Lisovski et al. (2012) <doi:10.1111/j.2041-210X.2012.00185.x>), and 'TwGeos' (Lisovski et al. (2019) <https://github.com/slisovski/TwGeos>).

Version:	0.1.0
Depends:	R (≥ 4.1.0)
Imports:	magrittr, maps, dplyr, lubridate, stringr, utils, grDevices, graphics, stats
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2025-11-27
DOI:	10.32614/CRAN.package.glscalibrator
Author:	Fabio Favoretto [aut, cre], Cecilia Soldatini [aut]
Maintainer:	Fabio Favoretto <favoretto.fabio at gmail.com>
BugReports:	https://github.com/fabbiologia/glscalibrator/issues
License:	MIT + file
URL:	https://github.com/fabbiologia/glscalibrator
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	glscalibrator results

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