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GISベース多基準意思決定分析 (GIS-MCDA)×多項ロジスティック回帰×
分野空間分析計量経済学
系統Process / pipelineRegression model
提唱年20061974
提唱者Jacek Malczewski (GIS-MCDA synthesis)McFadden
種類Spatial multi-criteria suitability/decision analysisMultinomial logistic regression
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 ↗McFadden, D. (1974). Conditional Logit Analysis of Qualitative Choice Behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105-142). Academic Press. ISBN: 978-0127761503
別名GIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitabilitymultinomial logistic regression, polytomous logistic regression, softmax regression, Çok Kategorili Lojistik Regresyon
関連45
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.Multinomial logistic regression is a maximum-likelihood method for a nominal (unordered) dependent variable with more than two categories. Building on McFadden's 1974 treatment of qualitative choice, it gives each category its own set of coefficients relative to a reference category.
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ScholarGate手法を比較: GIS-MCDA · Multinomial Logit. 2026-06-17に以下より取得 https://scholargate.app/ja/compare