foreign, methods, parallel, stats, utils, ggplot2, shiny (>=
0.11)

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
proposed in Shimada et al. (2012) <doi:10.3354/meps09747> and Shimada et al. (2016) <doi:10.1007/s00227-015-2771-0>.
R (>= 2.10), raster, trip, data.table, geosphere

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
proposed in Shimada et al. (2012) <doi:10.3354/meps09747> and
Shimada et al. (2016) <doi:10.1007/s00227-015-2771-0>.
sp, raster, trip, data.table, geosphere, ggmap, gridExtra,
ggsn, stats

sp, raster, trip, data.table, geosphere, ggmap, gridExtra,
ggsn, stats, maps

Filtering and Assessing Sample Size of Tracking Data
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).
plotKML, sp, raster, trip, data.table, gridExtra, ggsn, stats,
maps, pracma, plyr, ggmap, lubridate, dplyr

Filtering and Assessing the Sample Size of Tracking Data
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).