An Exploratory Spatial Data Analysis for Detecting the Indicators for Assessing the Decoupling Schemes

dc.creatorMontresor, Elisa
dc.creatorPecci, Francesco
dc.date2017-04-01T14:05:41Z
dc.date.accessioned2026-07-09T10:27:15Z
dc.descriptionThis paper verify as the different socio-economics indicators divide in cluster the European regions to furnish the helpful information to understand that will be the impact of the changes of the Common Agricultural Policy, using a methodology of exploratory spatial analysis (ESDA). In this case is used the geographically weighted regression (GWR), technique aimed at describing and visualizing spatial distribution and at detecting patterns of spatial association. The principal results that refer to some economic variables of the agricultures of the European regions are introduced.
dc.identifierdoi:10.22004/ag.econ.234625
dc.identifierhttps://ageconsearch.umn.edu/record/234625/files/Montresor%20et%20al%202005%20An%20Exploratory%20Spatial%20Data%20Analysis%20for%20Detecting%20the%20Indicators%20for%20Assessing%20the%20Decoupling%20Schemes.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/234625
dc.identifier.urihttp://hdl.handle.net/123456789/618900
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/234625
dc.titleAn Exploratory Spatial Data Analysis for Detecting the Indicators for Assessing the Decoupling Schemes
dc.typeText

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