geocmeans

Provides functions to apply spatial fuzzy unsupervised classification, visualize and interpret results. This method is well suited when the user wants to analyze data with a fuzzy clustering algorithm and to account for the spatial dimension of the dataset. In addition, indexes for estimating the spatial consistency and classification quality are proposed. The methods were originally proposed in the field of brain imagery (seed Cai and al. 2007 doi:10.1016/j.patcog.2006.07.011 and Zaho and al. 2013 doi:10.1016/j.dsp.2012.09.016) and recently applied in geography (see Gelb and Apparicio doi:10.4000/cybergeo.36414).

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