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Модели размещения-распределения×Многокритериальный анализ решений на основе ГИС (GIS-MCDA)×
ОбластьПространственный анализПространственный анализ
СемействоProcess / pipelineProcess / pipeline
Год появления19632006
Автор методаLeon Cooper; S. L. HakimiJacek Malczewski (GIS-MCDA synthesis)
ТипSpatial facility-location optimizationSpatial multi-criteria suitability/decision analysis
Основополагающий источникCooper, 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 ↗
Другие названияfacility location, p-median problem, maximal covering location problem, yer-tahsis modelleriGIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitability
Связанные44
СводкаLocation-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.
ScholarGateНабор данных
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  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Location-Allocation · GIS-MCDA. Получено 2026-06-17 из https://scholargate.app/ru/compare