A geostatistical multicriteria approach to rural area classification:from the European perspective to the local implementation

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A geostatistical multicriteria approach to rural area classification:from the European perspective to the local implementation

Severino Romano [et al.] - Nama Orang;

The rurality index has been explored using Spatial Statistical Techniques, Multicriteria Decision Support System and Cluster Analysis to obtain areas with homogenous characteristics. The profile outlined is an effective tool to support decision-makers in defining actions aimed to the development of rural areas, in view of a global rationalization and optimization of resources.To check the consistency of results, the model was tested within Basilicata region, which is well-known to the authors and which has been extensively investigated with regard to its levels of rurality. The results show eight homogeneous areas, classified in relation to the Rural Index. The results obtained enable locating resources based on specific needs.

Keywords: composite index; rurality index; PCA weighted; spatial cluster.

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Judul Seri: Agriculture and Agricultural Science Procedia
No. Panggil: -
Penerbit: : Elsevier., 2016
Deskripsi Fisik: Agriculture and Agricultural Science Procedia 8 ( 2016 ) 499 – 508
Bahasa: English
ISBN/ISSN: doi: 10.1016/j.aaspr
Klasifikasi: NONE
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: -
Edisi: -
Subjek: KIMIA
Info Detail Spesifik: -
Pernyataan Tanggungjawab: Wati/Agus

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FULL TEXT:A geostatistical multicriteria approach to rural area classification: from the European perspective to the local implementation

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