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A Spatial Assessment for Re-Mixing Buildings on the Rural Fringe of Spain

机译:在西班牙农村边缘重新混合建筑物的空间评估

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This study presents a spatial approach with a methodology for re-mixing current rural buildings into landscape which will support stakeholders to make decisions within a unique environment. A spatial methodology described in this paper is coupling with geographic information systems (GIS), fuzzy logic and multi-criteria evaluation (MCE). The aim of this methodology which applies an overlay and index method involving several parameters is to evaluate the suitability of the study region, Hervas (Spain), in order to optimally plan a building integration with rural landscape. The analytical hierarchy process (AHP) is used to generate the alternative decisions using the multi-criteria evaluation techniques used, enhanced with fuzzy factor standardization. The parameters are categorized into five criterion groups: criterion group 1 includes parameters relevant to the physical environments; criterion group 2 comprises visual conditions which are divided into two states, external and internal state; criterion group 3 depicts economical situations; criterion group 4 incorporates social activities; criterion group 5 consists of environmental circumstances. Besides assigning weights to factors through the AHP, the simple additive weighting (SAW) method is applied to the calculation of final grading values in multiple criteria problem for the suitability re-mixing of the study area. The methodology will result in five intermediate suitability maps, physical, visual, economical, social, and environmental criterion. Combination of the five intermediate maps will result in the final composite suitability map for rural building integration with landscape.
机译:本研究提出了一种空间方法,具有将当前农村建筑物重新混合到景观中的方法,这将支持利益相关者在独特的环境中做出决策。本文中描述的空间方法与地理信息系统(GIS),模糊逻辑和多标准评估(MCE)耦合。这种方法的目的是应用涉及几个参数的覆盖和索引方法的方法是评估研究区域Hervas(西班牙)的适用性,以便最佳地计划与农村景观的建筑集成。分析层次处理(AHP)用于使用使用的多标准评估技术来生成替代决策,增强了模糊因子标准化。参数分为五个标准组:标准组1包括与物理环境相关的参数;标准组2包括视觉条件,其分为两个状态,外部和内部状态;标准组3描绘了经济的情况;标准组4纳入社交活动;标准组5由环境情况组成。除了通过AHP分配给因子的权重外,简单的添加剂加权(SAW)方法应用于多标准问题的计算最终分级值,以便对研究区域的适用性重新混合。该方法将导致五种中间适用性地图,物理,视觉,经济,社会和环境准则。五个中间地图的组合将导致农村建筑与景观集成的最终复合适用性图。

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