interacting_pairs

Function to obtain pairs of interacting animals

Obtain network structures from animal GPS telemetry observations and
statistically analyse them to assess their adequacy for social network analysis. Methods include
pre-network data permutations, bootstrapping techniques to obtain confidence intervals
for global and node-level network metrics, and correlation and regression analysis of the local network metrics.

Prabhleen Kaur

aniSNA

Statistical Network Analysis of Animal Social Networks

Michael Salter-Townshend

interacting_pairs function

<dl><dt>i</dt>
<dd>Index of the animal</dd>
<dt>datetime</dt>
<dd>DateTime vector</dd>
<dt>latitude</dt>
<dd>latitude vector</dd>
<dt>longitude</dt>
<dd>longitude vector</dd>
<dt>temporal_thresh</dt>
<dd>time threshold in minutes</dd>
<dt>spatial_thresh</dt>
<dd>spatial threshold in meters</dd></dl>

Arguments

Function to obtain pairs of interacting animals — interacting_pairs

<dl>

<dt>i</dt>
<dd>Index of the animal</dd>


<dt>datetime</dt>
<dd>DateTime vector</dd>


<dt>latitude</dt>
<dd>latitude vector</dd>


<dt>longitude</dt>
<dd>longitude vector</dd>


<dt>temporal_thresh</dt>
<dd>time threshold in minutes</dd>


<dt>spatial_thresh</dt>
<dd>spatial threshold in meters</dd>

</dl>

interacting_pairs: Function to obtain pairs of interacting animals

Description

Usage

Value

Arguments