Prepare a seatrack species/colony combination for calibration — gls_calibrate_species

Uses hard coded file paths to call gls_prepare_calibration. Filters metadata passed to gls_prepare_calibration by species/colony.

Usage

gls_calibrate_species_colony(
  import_directory = file.path(the$sea_track_folder,
    "Database\\Imports_Logger data\\Raw logger data\\ALL"),
  species,
  colony,
  no_pos_only = TRUE,
  rerun_existing = TRUE,
  include_existing = TRUE,
  filter_plots = FALSE
)

Arguments

import_directory: Path to the directory containing GLS files.
species: Species name to filter metadata.
colony: Colony name to filter metadata.
no_pos_only: Logical indicating whether to include only loggers without position data in the database. Default is TRUE.
rerun_existing: Logical indicating whether to rerun calibration for loggers that already have calibration data. Default is TRUE.
include_existing: Logical indicating whether to include existing calibration data in the final output. Default is TRUE.
filter_plots: Logical indicating whether to export filter plots. Default is FALSE.

Value

None. The function saves the prepared calibration data to the specified output directory.