ud_raster

Inter-nesting utilisation distributions of 15 flatback turtles (Natator depressus) that nested in Curtis Island, Australia.
The UDs were calculated using the sample tracking data <code>flatback</code> and reduced grid resolution (1 km)
instead of 50m as used in <a href="https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.13506">Shimada et al. (2021)</a>.
See <a href="https://github.com/TakahiroShimada/SDLfilter">GitHub</a> for an example code of UD estimation.

datasets

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>.

Takahiro Shimada

SDLfilter

Filtering and Assessing the Sample Size of Tracking Data

ud_raster function

Format

Inter-nesting utilisation distributions of 15 flatback turtles (Natator depressus) that nested in Curtis Island, Australia.
The UDs were calculated using the sample tracking data <code>flatback</code> and reduced grid resolution (1 km)
instead of 50m as used in <a href='https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.13506'>Shimada et al. (2021)</a>.
See <a href='https://github.com/TakahiroShimada/SDLfilter'>GitHub</a> for an example code of UD estimation.

ud_raster: A list of raster data containing probability distributions of flatback turtles

Description

Usage

Arguments

Format