descriptionDetect synchronous variations in population data
last changeTue, 23 Jan 2018 01:21:15 +0000 (02:21 +0100)

Clustering into regions of synchronous variations

Joint work with Christophe Giraud.

This R package implements a clustering method described in detail in this article.

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.

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

Main function to cluster populations data: findSyncVarRegions().

2018-01-23 Benjamin Auderadd alternative approach from 2013-01 master
2016-07-22 Benjamin
2015-02-05 Benjamin Auderadd README.html
2015-02-02 Benjamin Auderadd documentation (remove .gitignore under man/)
2015-02-02 Benjamin Auderremove source latex file from doc
2015-02-02 Benjamin Auderupdate
2015-02-02 Benjamin Audergenerate documentation
2015-02-01 Benjamin Auderupdate
2014-12-09 Benjamin Auderfirst commit
4 years ago master