[synclust.git] / README.html

<h1>Clustering into regions of synchronous variations</h1>

<p>Joint work with <a href="http://www.cmap.polytechnique.fr/~giraud/">Christophe Giraud</a>.</p>

<hr/>

<p>This R package implements a clustering method described in detail in <a href="http://www.cmap.polytechnique.fr/~giraud/SynchronousPop.pdf">this article</a>.</p>

<p>The goal is to divide a map of observational sites into regions of similar intra-variability over the years, but 
with distinct dynamics compared to other regions.
The problem has both spatial (the sites) and temporal (measurements every year) aspects, and is difficult because 
there are no a priori indications about the regions.</p>

<hr/>

<p>Two (heuristic) methods are available in the package, either direct graph clustering or parameters estimation 
in a model-based formulation of the problem.</p>

<p>
Main function to cluster populations data: <code>findSyncVarRegions()</code>.</p>
Commit	Line	Data
195af7f9 BA	1	<h1>Clustering into regions of synchronous variations</h1>
	2
	3	<p>Joint work with <a href="http://www.cmap.polytechnique.fr/~giraud/">Christophe Giraud</a>.</p>
	4
	5	<hr/>
	6
	7	<p>This R package implements a clustering method described in detail in <a href="http://www.cmap.polytechnique.fr/~giraud/SynchronousPop.pdf">this article</a>.</p>
	8
	9	<p>The goal is to divide a map of observational sites into regions of similar intra-variability over the years, but
	10	with distinct dynamics compared to other regions.
	11	The problem has both spatial (the sites) and temporal (measurements every year) aspects, and is difficult because
	12	there are no a priori indications about the regions.</p>
	13
	14	<hr/>
	15
	16	<p>Two (heuristic) methods are available in the package, either direct graph clustering or parameters estimation
	17	in a model-based formulation of the problem.</p>
	18
	19	<p>
	20	Main function to cluster populations data: <code>findSyncVarRegions()</code>.</p>