Uncertain clustering of social specialization in metropolitan areas
| Autor: | giovanni fusco, Cao, C. |
|---|---|
| Přispěvatelé: | Études des Structures, des Processus d’Adaptation et des Changements de l’Espace (ESPACE), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Avignon Université (AU)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Politecnico di Milano [Milan] (POLIMI), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Avignon Université (AU)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: | |
| Zdroj: | Proceedings of Spatial Accuracy 2016 Proceedings of Spatial Accuracy 2016, pp.122-129, 2016, 978-2-9105-4510-5 Scopus-Elsevier |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
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