Landscape conflict assessment based on a mixed methods analysis of qualitative PPGIS data
Landscape conflict assessment based on a mixed methods analysis of qualitative PPGIS data
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DOI：
10.1016/j.ecoser.2018.07.003
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发表时间：
2018-08-01
影响因子：
7.6
通讯作者：
Vall-Casas, Pere
中科院分区：
文献类型：
--
作者：
Garcia, Xavier;Benages-Albert, Marta;Vall-Casas, Pere
本文提出了一个公众参与的GIS（PPGIS）的方法，旨在支持景观决策的空间识别和描述冲突。这种方法是基于参与性绘图和定性解释的积极景观价值（源于文化生态系统服务），消极景观价值（来自景观因素，对社会的看法产生负面影响），并改善偏好。它的开发和测试使用的数据收集从53个采访当地社区成员从一个高度城市化的流走廊在巴塞罗那大都会区（西班牙）。正/负景观值的强度得分图根据其显着的空间共存。冲突指数图是为每个共存的正/负值对计算的，以界定具有最高指数值的区域。对这些领域内确定的改进偏好进行定性分析有助于了解这些冲突背后的原因。最后，应用正/负景观值强度图的加权线性组合来确定冲突程度最高的区域。因此，这种方法不仅产生了一个空间划界和优先级的景观冲突的背景下特定的景观价值的基础上，但它也表征了潜在的驱动力的基础上的改进偏好的定性理解冲突。
The paper presents a public participation GIS (PPGIS) approach designed to support landscape decision-making by spatially identifying and describing conflict. This method is based on participatory mapping and qualitative interpretation of positive landscape values (stemming from cultural ecosystem services), negative landscape values (derived from landscape factors that negatively influence social perception), and improvement preferences. It is developed and tested using data collected from 53 interviews with local community members from a highly urbanised stream corridor in the Metropolitan Region of Barcelona (Spain). Intensity score maps of positive/negative landscape values are combined according to their significant spatial co-existence. Conflict index maps are computed for each co-existing pair of positive/negative values, delimiting the areas with the highest index values. Qualitative analysis of the improvement preferences identified within these areas contributed to an understanding of the reasons behind these conflicts. Finally, a weighted linear combination of the positive/negative landscape value intensity maps is applied to identify the areas with the highest level of conflict. Therefore, this approach not only produces a spatial delimitation and prioritization of landscape conflict based on context specific landscape values, but it also characterizes the underlying drivers of conflict on the basis of the qualitative understanding of improvement preferences.