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GIS.LSP: A soft computing logic method and tool for geospatial suitability analysis
Transactions in GIS ( IF 2.1 ) Pub Date : 2021-05-16 , DOI: 10.1111/tgis.12768
Shuoge Shen 1 , Suzana Dragićević 1 , Jozo Dujmović 2
Affiliation  

This research study extends the Logic Scoring of Preference (LSP) as a general multicriteria evaluation (MCE) method by presenting and evaluating a new GIS.LSP method and software tool implemented within the geographic information systems (GIS) environment. For the evaluation and validation of the method and software tool, we describe a case study of urban densification suitability analysis using geospatial data for the Metro Vancouver Region, Canada. The criteria, LSP structures, and aggregators groups were developed from the perspective of urban developers who are key stakeholders in the densification process. We compare two group of aggregators and perform sensitivity and cost–suitability analysis of the LSP method by variation of input suitability scores, input attributes, and aggregators. The results indicate the GIS.LSP method is effective in providing a flexible and sensitive workflow to create realistic and justifiable outcomes from complex criteria that are bounded by stakeholders' goals and requirements.

中文翻译:

GIS.LSP:一种用于地理空间适宜性分析的软计算逻辑方法和工具

本研究通过介绍和评估在地理信息系统 (GIS) 环境中实施的新 GIS.LSP 方法和软件工具,将偏好的逻辑评分 (LSP) 扩展为一种通用的多标准评估 (MCE) 方法。为了评估和验证方法和软件工具,我们描述了一个使用加拿大大温哥华地区地理空间数据进行城市密集化适宜性分析的案例研究。标准、LSP 结构和聚合器组是从城市开发商的角度制定的,他们是密集化过程中的关键利益相关者。我们比较两组聚合器,并通过输入适宜性分数、输入属性和聚合器的变化对 LSP 方法进行敏感性和成本适宜性分析。结果表明GIS。
更新日期:2021-07-09
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