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基于地理信息系统的多准则决策分析 (GIS-MCDA)×景观格局指数×
领域空间分析空间分析
方法族Process / pipelineProcess / pipeline
起源年份20061988
提出者Jacek Malczewski (GIS-MCDA synthesis)R. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS)
类型Spatial multi-criteria suitability/decision analysisQuantitative landscape pattern description
开创性文献Malczewski, J. (2006). GIS-based multicriteria decision analysis: a survey of the literature. International Journal of Geographical Information Science, 20(7), 703–726. DOI ↗O'Neill, R. V., et al. (1988). Indices of landscape pattern. Landscape Ecology, 1(3), 153–162. DOI ↗
别名GIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitabilitylandscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri
相关43
摘要GIS-MCDA combines the map layers of a geographic information system with multi-criteria decision analysis to produce suitability or priority maps — ranking locations by how well they satisfy several weighted criteria at once. It is the standard framework for spatial decisions such as siting hospitals, solar farms, landfills, or evacuation areas, integrating methods like AHP, TOPSIS, and weighted overlay with spatial data.Landscape metrics are quantitative indices that describe the composition and spatial configuration of a categorical map — typically land cover — at the patch, class, and whole-landscape levels. Developed in landscape ecology (O'Neill and colleagues, 1988) and made widely usable by the FRAGSTATS software, they turn maps into numbers like patch density, edge density, fragmentation, diversity, and connectivity for ecological, planning, and change analysis.
ScholarGate数据集
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  1. v1
  2. 2 来源
  3. PUBLISHED

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ScholarGate方法对比: GIS-MCDA · Landscape Metrics. 于 2026-06-19 检索自 https://scholargate.app/zh/compare