events_dur

This function calculates the total duration (in seconds) of
 events of collective motion in a dataset.

Provides a pipeline for the comparative analysis of
collective movement data (e.g. fish schools, bird flocks, baboon troops) by
processing 2-dimensional positional data (x,y,t) from GPS trackers or computer
vision tracking systems, discretizing events of collective motion, calculating
a set of established metrics that characterize each event, and placing the
events in a multi-dimensional swarm space constructed from these metrics.
The swarm space concept, the metrics and data sets included are described in:
Papadopoulou Marina, Furtbauer Ines, O'Bryan Lisa R., Garnier Simon,
Georgopoulou Dimitra G., Bracken Anna M., Christensen Charlotte and King
Andrew J. (2023) <doi:10.1098/rstb.2022.0068>.

Marina Papadopoulou

swaRmverse

Swarm Space Creation

Simon Garnier

events_dur function

<dl><dt>data</dt>
<dd>A dataframe with a <code>keep</code> column, representing which rows
are defined as events of collective motion (added by the
<code>define_events</code> function).</dd>
<dt>step2time</dt>
<dd>The sampling frequency of the dataframe (how many seconds
are between each row of the data).</dd></dl>

Arguments

Marina Papadopoulou <a href="/link/m.papadopoulou.rug%40gmail.com?package=swaRmverse&version=0.1.0" data-mini-rdoc="swaRmverse::m.papadopoulou.rug@gmail.com">m.papadopoulou.rug@gmail.com</a>

Author

Total Duration of All Events — events_dur

<dl>

<dt>data</dt>
<dd>A dataframe with a <code>keep</code> column, representing which rows
are defined as events of collective motion (added by the
<code>define_events</code> function).</dd>


<dt>step2time</dt>
<dd>The sampling frequency of the dataframe (how many seconds
are between each row of the data).</dd>

</dl>

Marina Papadopoulou <a href='mailto:m.papadopoulou.rug@gmail.com'>m.papadopoulou.rug@gmail.com</a>

events_dur: Total Duration of All Events

Description

Usage

Value

Arguments

Author

See Also