Imports: foreign, methods, parallel, stats, utils, ggplot2, shiny (>=

Description: Functions to filter GPS and/or Argos locations. The provided
filters remove temporal and spatial duplicates, fixes located at a given
height from estimated high tide line, and locations with high error as
Depends: R (>= 2.10), raster, trip, data.table, geosphere

proposed in Shimada et al. (2012) <doi:10.3354/meps09747> and
Imports: sp, raster, trip, data.table, geosphere, ggmap, gridExtra,

Title: Filtering and Assessing Sample Size of Tracking Data
Description: Functions to filter GPS and/or Argos locations, as well as assessing sample sizes 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 sizes 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. (in prep).
Imports: plotKML, sp, raster, trip, data.table, gridExtra, ggsn, stats,
maps, pracma, plyr, ggmap, lubridate, dplyr

Title: Filtering and Assessing the Sample Size of Tracking Data
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) <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. (under review).

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) <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>.