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Analiza Decyzyjna Wielokryterialna oparta na GIS (GIS-MCDA)×Regresja logistyczna wielomianowa×
DziedzinaAnaliza przestrzennaEkonometria
RodzinaProcess / pipelineRegression model
Rok powstania20061974
TwórcaJacek Malczewski (GIS-MCDA synthesis)McFadden
TypSpatial multi-criteria suitability/decision analysisMultinomial logistic regression
Źródło pierwotneMalczewski, 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
Inne nazwyGIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitabilitymultinomial logistic regression, polytomous logistic regression, softmax regression, Çok Kategorili Lojistik Regresyon
Pokrewne45
PodsumowanieGIS-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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ScholarGatePorównaj metody: GIS-MCDA · Multinomial Logit. Pobrano 2026-06-17 z https://scholargate.app/pl/compare