The article summarizes the results of a study on Molise’s remote areas. The research analyses the social, demographic and economic variables characterizing the Molise municipalities through a statistical technique, called the PCA - Principal Component Analysis. The main aim is to find potential similarities and/or diversities within municipalities and therefore within Molise’s remote areas, through graphs which highlight the current correlations. The factor analysis allows the investigation of different observational perspectives, besides those correlated only to geopolitical factors, in order to support potential political actions for the development of remote areas.
Le aree interne del Molise fra Strategia nazionale ed una nuova mappatura con la PCA - Principal Components Analysis
ZINGARO, Mariella;Cecilia Tomassini
2018-01-01
Abstract
The article summarizes the results of a study on Molise’s remote areas. The research analyses the social, demographic and economic variables characterizing the Molise municipalities through a statistical technique, called the PCA - Principal Component Analysis. The main aim is to find potential similarities and/or diversities within municipalities and therefore within Molise’s remote areas, through graphs which highlight the current correlations. The factor analysis allows the investigation of different observational perspectives, besides those correlated only to geopolitical factors, in order to support potential political actions for the development of remote areas.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.