binClstStck-class

<code>binClstStck</code> is a special class for population level speed/turn-clustering of movement trajectories, given either as path data.frames or <code>move</code> objects.

Unsupervised, multivariate, binary clustering for meaningful annotation of data, taking into account the uncertainty in the data. A specific constructor for trajectory analysis in movement ecology yields behavioural annotation of trajectories based on estimated local measures of velocity and turning angle, eventually with solar position covariate as a daytime indicator, ("Expectation-Maximization Binary Clustering for Behavioural Annotation").

Joan Garriga

EMbC

Expectation-Maximization Binary Clustering

binClstStck-class function

<dl>
<dt><code>bCS</code></dt>
<dd>A list of either <code>binClstPath</code> or <code>binClstMove</code> objects, depending on how the input paths are given.</dd></dl>
<dt><code>bC</code></dt>
<dd>A <code>binClst</code> instance with the global speed/turn clustering of the paths in the stack.</dd>

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Binary Clustering Stack Class — binClstStck-class

<dl>
<dt><code>bCS</code></dt>
<dd>A list of either <code>binClstPath</code> or <code>binClstMove</code> objects, depending on how the input paths are given.</dd>


<dt><code>bC</code></dt>
<dd>A <code>binClst</code> instance with the global speed/turn clustering of the paths in the stack.</dd>


</dl>

binClstStck-class: Binary Clustering Stack Class

Description

Arguments

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