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空間的相互作用(重力)モデル×GISベース多基準意思決定分析 (GIS-MCDA)×
分野空間分析空間分析
系統Regression modelProcess / pipeline
提唱年19712006
提唱者Alan Wilson (entropy-maximizing family)Jacek Malczewski (GIS-MCDA synthesis)
種類Model of flows between spatial origins and destinationsSpatial multi-criteria suitability/decision analysis
原典Wilson, A. G. (1971). A family of spatial interaction models, and associated developments. Environment and Planning A, 3(1), 1–32. DOI ↗Malczewski, J. (2006). GIS-based multicriteria decision analysis: a survey of the literature. International Journal of Geographical Information Science, 20(7), 703–726. DOI ↗
別名gravity model, spatial interaction model, competing destinations model, mekânsal etkileşim modeliGIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitability
関連44
概要Spatial interaction models predict the volume of flows — migrants, commuters, shoppers, trade, trips — between origins and destinations as a function of the size of each place and the distance or cost separating them. By analogy to Newton's gravity, interaction rises with the 'mass' of origin and destination and falls with separation, and Wilson's 1971 entropy-maximizing family put these models on a rigorous footing for transport, migration, and retail analysis.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.
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ScholarGate手法を比較: Spatial Interaction Model · GIS-MCDA. 2026-06-15に以下より取得 https://scholargate.app/ja/compare