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Análise de Decisão Multicritério Baseada em SIG (SIG-MCDA)×Regressão Logística Multinomial×
ÁreaAnálise espacialEconometria
FamíliaProcess / pipelineRegression model
Ano de origem20061974
Autor originalJacek Malczewski (GIS-MCDA synthesis)McFadden
TipoSpatial multi-criteria suitability/decision analysisMultinomial logistic regression
Fonte seminalMalczewski, 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
Outros nomesGIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitabilitymultinomial logistic regression, polytomous logistic regression, softmax regression, Çok Kategorili Lojistik Regresyon
Relacionados45
ResumoGIS-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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ScholarGateComparar métodos: GIS-MCDA · Multinomial Logit. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare