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Modele lokalizacyjno-alokacyjne×Analiza Decyzyjna Wielokryterialna oparta na GIS (GIS-MCDA)×
DziedzinaAnaliza przestrzennaAnaliza przestrzenna
RodzinaProcess / pipelineProcess / pipeline
Rok powstania19632006
TwórcaLeon Cooper; S. L. HakimiJacek Malczewski (GIS-MCDA synthesis)
TypSpatial facility-location optimizationSpatial multi-criteria suitability/decision analysis
Źródło pierwotneCooper, L. (1963). Location-allocation problems. Operations Research, 11(3), 331–343. 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 ↗
Inne nazwyfacility location, p-median problem, maximal covering location problem, yer-tahsis modelleriGIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitability
Pokrewne44
PodsumowanieLocation-allocation models decide where to place a set of facilities and simultaneously assign demand points to them so as to optimize an objective such as total travel cost, worst-case distance, or population covered. Rooted in the operations-research work of Cooper (1963) and Hakimi (1964) and central to network GIS, they answer questions like where to site warehouses, hospitals, fire stations, or schools to best serve a spatially distributed population.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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ScholarGatePorównaj metody: Location-Allocation · GIS-MCDA. Pobrano 2026-06-17 z https://scholargate.app/pl/compare