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A geostatistical multicriteria approach for classifing of rural areas: from the European perspective to local implementation

机译:用于农村地区分类的地统计学多准则方法:从欧洲的角度到本地的实施

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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.
机译:使用空间统计技术,多准则决策支持系统和聚类分析来探索农村指数,以获得具有同质特征的区域。鉴于全球的合理化和资源优化,概述的概况是支持决策者确定旨在发展农村地区的行动的有效工具。为了检查结果的一致性,该模型在巴西利卡塔地区进行了测试,该模型为作者所熟知,并且已经对其乡村水平进行了广泛研究。结果表明,八个均质地区相对于农村指数进行了分类。获得的结果使得可以根据特定需求来定位资源。

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