frontness

Given the bearing angle of an object to another, this function
 calculates the frontness, a value that ranges from 0 to 1 and represents how
 in front the focal object is from its neighbor.

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

frontness function

<dl><dt>bs</dt>
<dd>A vector of bearing angles (in rad) between objects.</dd></dl>

Arguments

Marina Papadopoulou, <a href="/link/m.papadopoulou.rug%40gmail.com?package=swaRmverse&version=0.1.1" data-mini-rdoc="swaRmverse::m.papadopoulou.rug@gmail.com">m.papadopoulou.rug@gmail.com</a>

Author

Frontness — frontness

<dl>

<dt>bs</dt>
<dd>A vector of bearing angles (in rad) between objects.</dd>

</dl>

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

frontness: Frontness

Description

Usage

Value

Arguments

Author

See Also

Examples