Automated Calibration and Analysis of 'GLS' (Global Location Sensor) Data R package glscalibrator version 0.1.0 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>). Software Depends: R (>= 4.1.0) Imports: magrittr, maps, dplyr, lubridate, stringr, utils, grDevices, graphics, stats Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Fabio Favoretto <favoretto.fabio@gmail.com> Comprehensive R Archive Network (CRAN) Fabio Favoretto [aut, cre] (ORCID: <https://orcid.org/0000-0002-6493-4254>), Cecilia Soldatini [aut] (ORCID: <https://orcid.org/0000-0002-8112-3162>) MIT + file LICENSE (https://CRAN.R-project.org/package=glscalibrator/LICENSE) 2025-11-27 application/tgz https://CRAN.R-project.org/package=glscalibrator doi:10.32614/CRAN.package.glscalibrator en-US