estimate_hr

Estimates home range areas for each simulated movement dataset using
the Autocorrelated Kernel Density Estimator (AKDE) via
<code>ctmm::akde()</code>. This function is intended for use within simulation
workflows where home range calculations are needed for each simulated
individual.

internal

Toolbox and 'shiny' application to help researchers design
movement ecology studies, focusing on two key objectives: estimating
home range areas, and estimating fine-scale movement behavior,
specifically speed and distance traveled. It provides interactive
simulations and methodological guidance to support study planning and
decision-making. The application is described in Silva et al. (2023)
<doi:10.1111/2041-210X.14153>.

Ines Silva

movedesign

Study Design Toolbox for Movement Ecology Studies

Inês Silva

estimate_hr function

<dl><dt>rv</dt>
<dd>A <code>reactiveValues</code> list containing, at a minimum:<ul>
<li><code>simList</code>: A list of simulated movement datasets
(e.g., telemetry tracks).</li>
<li><code>simfitList</code>: A list of fitted movement models, each
corresponding to an entry in <code>simList</code>.</li>
</ul>Each movement dataset in <code>simList</code> should be compatible with
<code>ctmm::akde()</code>, and each fitted model in <code>simfitList</code> should
correspond to its respective simulated dataset.</dd></dl>

Arguments

Estimate home range from simulated movement data — estimate_hr

<dl>

<dt>rv</dt>
<dd>A <code>reactiveValues</code> list containing, at a minimum:<ul>
<li><code>simList</code>: A list of simulated movement datasets
(e.g., telemetry tracks).</li>
<li><code>simfitList</code>: A list of fitted movement models, each
corresponding to an entry in <code>simList</code>.</li>
</ul>Each movement dataset in <code>simList</code> should be compatible with
<code>ctmm::akde()</code>, and each fitted model in <code>simfitList</code> should
correspond to its respective simulated dataset.</dd>

</dl>

estimate_hr: Estimate home range from simulated movement data

Description

Usage

Value

Arguments

See Also