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+<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>