CAO , Cristina

Instead of defining a priori target populations, sociodemographic variables and sector of residence are combined in order to identify geographically meaningful clusters of households on the French Riviera. A Bayesian classifier produces uncertainty-based clusters whose uncertain knowledge is represented through an interactive geo-dataviz...

The aim of this paper is to estimate the extent of social specialization of residential space within the French Riviera metropolitan area. Unlike classical approaches, where social groups are pre-defined through given characteristics of households, our approach determines clusters of households inductively. Socio-demographic characteristics of...

A Bayesian Network and a Possibilistic Network are used to produce trend scenarios of social polarization in the metropolitan area of Marseille (France). Both scenarios are based on uncertain knowledge of relationships among variables and produce uncertain evaluations of future social polarization. We show that probabilistic models should not...