Uncertain clustering of social specialization in metropolitan areas

Description

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 solution. Cluster characteristics, sociodemographic content of geographic sectors, socio-spatial contrasts between neighboring sectors and proximity in variable space are explored taking into consideration the uncertain character of the available knowledge.

Abstract

International audience

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