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A Knowledge-Based Approach for the Implementation of a SDSS in the Partenio Regional Park (Italy)

机译:在Partenio区域公园(意大利)中实施SDSS的基于知识的方法

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The paper recommends a methodology for data gathering and processing through the spatial analysis techniques and the combinatorial multi-criteria procedure of Weighted Linear Combination (WLC). The purpose concerns the spatial problem structuring in a complex decisional context lacking in the geographical dataset. The processing of data and information provided by VGIs and Open Systems is crucial for the enrichment of spatial datasets in these circumstances, but it is advisable to make attention about the data reliability and the known problems of the geographic dataset, i.e. Modifiable Areal Unit Problem (MAUP). The method was tested with the case study of 27 Municipalities around the Partenio Regional Park, in the South of Italy. Within the SDSS, the multidimensional landscape's indicators were combined with data gathering on the field, in order to build an evolving informative system. A multidimensional approach, focused on the recognition of environmental, social, economic and cultural resources, was chosen providing some strategies of enhancement for the overviewed landscape of the Park. The evaluation of the policy and actions for the examined regions generated scenario-maps through multi-criteria procedures and GIS tools.
机译:本文提出了一种通过空间分析技术和加权线性组合(WLC)的组合多准则程序进行数据收集和处理的方法。目的涉及地理数据集中缺少的复杂决策环境中的空间问题结构。在这种情况下,VGI和开放系统提供的数据和信息处理对于丰富空间数据集至关重要,但是建议您注意数据可靠性和地理数据集的已知问题,即可修改的地域单位问题( MAUP)。该方法已通过意大利南部Partenio区域公园周围27个城市的案例研究进行了测试。在SDSS中,多维景观指标与实地数据收集相结合,以建立一个不断发展的信息系统。选择了一种多维度的方法,重点是对环境,社会,经济和文化资源的认识,为公园的总体景观提供了一些改善策略。通过多标准程序和GIS工具对所检查区域的政策和行动进行评估,生成了方案图。

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