The evolution of the social and economic context in which the concept of wellbeing takes shape and the availability of new statistical information imposes constant checks on the set of indicators. The present work analyzes the relationships between environmental quality and health status indicators identified by the National Institute of Statistics (Istat) in Italian provinces. The data are analyzed through multivariate statistical methods (Totally Fuzzy and Relative) and methods of territorial classification (SaTScan) able to synthesize the various information and represent spatial distribution of environmental and health wellness.
A multidimensional approach for the identification of environmental and health wellness territories
Perchinunno Paola;Mongelli Lucia;
2020-01-01
Abstract
The evolution of the social and economic context in which the concept of wellbeing takes shape and the availability of new statistical information imposes constant checks on the set of indicators. The present work analyzes the relationships between environmental quality and health status indicators identified by the National Institute of Statistics (Istat) in Italian provinces. The data are analyzed through multivariate statistical methods (Totally Fuzzy and Relative) and methods of territorial classification (SaTScan) able to synthesize the various information and represent spatial distribution of environmental and health wellness.File in questo prodotto:
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