turtle2

A dataset containing Fastloc GPS locations of a green turtle tracked in Moreton Bay, Australia.

datasets

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).

Takahiro Shimada

SDLfilter

Filtering and Assessing Sample Size of Tracking Data

turtle2 function

A data frame with 276 rows and 5 variables:<dl class="dl-horizontal">
 <dt>id</dt><dd>identifier for each animal.</dd>
 <dt>DateTime</dt><dd>date &amp; time in class <code><a rd-options="base" href="/link/POSIXct?package=SDLfilter&version=2.0.0&to=base" data-mini-rdoc="base::POSIXct">POSIXct</a></code>.</dd>
 <dt>lat</dt><dd>latitude in decimal degrees.</dd>
 <dt>lon</dt><dd>longitude in decimal degrees.</dd>
 <dt>qi</dt><dd>numerical quality index associated with each location fix where a greater number indicates a higher accuracy
 (e.g. number of GPS satellites used for estimation).</dd>
</dl>

Format

Green turtle tracking data 2 — turtle2

A data frame with 276 rows and 5 variables:<dl class='dl-horizontal'>
 <dt>id</dt><dd>identifier for each animal.</dd>
 <dt>DateTime</dt><dd>date &amp; time in class <code><a rd-options='base' href='POSIXct'>POSIXct</a></code>.</dd>
 <dt>lat</dt><dd>latitude in decimal degrees.</dd>
 <dt>lon</dt><dd>longitude in decimal degrees.</dd>
 <dt>qi</dt><dd>numerical quality index associated with each location fix where a greater number indicates a higher accuracy
 (e.g. number of GPS satellites used for estimation).</dd>
</dl>

turtle2: Green turtle tracking data 2

Description

Usage

Arguments

Format