ScholarGate
アシスタント

手法を比較

選択した手法を並べて確認できます。異なる行はハイライト表示されます。

GISベース多基準意思決定分析 (GIS-MCDA)×景観パターン指標×
分野空間分析空間分析
系統Process / pipelineProcess / pipeline
提唱年20061988
提唱者Jacek Malczewski (GIS-MCDA synthesis)R. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS)
種類Spatial multi-criteria suitability/decision analysisQuantitative landscape pattern description
原典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 ↗
別名GIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitabilitylandscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri
関連43
概要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データセット
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED

検索へ スライドをダウンロード

ScholarGate手法を比較: GIS-MCDA · Landscape Metrics. 2026-06-19に以下より取得 https://scholargate.app/ja/compare