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Uchanganuzi wa Maamuzi wa Vigezo-Nyingi unaotumia GIS (GIS-MCDA)×Mchakato wa Mlolongo wa Kihakiki×Uchanganuzi wa Njia ya Gharama Chini / Umbali wa Gharama×Mifumo ya Ugawaji-Mahali×
NyanjaUchanganuzi wa KimaeneoUfanyaji MaamuziUchanganuzi wa KimaeneoUchanganuzi wa Kimaeneo
FamiliaProcess / pipelineMCDMProcess / pipelineProcess / pipeline
Mwaka wa asili2006198019941963
MwanzilishiJacek Malczewski (GIS-MCDA synthesis)Saaty, T. L.Edsger Dijkstra (shortest path); GIS cost-surface adaptationLeon Cooper; S. L. Hakimi
AinaSpatial multi-criteria suitability/decision analysisPairwise comparison (eigenvalue)Raster cost-surface routingSpatial facility-location optimization
Chanzo asiliaMalczewski, J. (2006). GIS-based multicriteria decision analysis: a survey of the literature. International Journal of Geographical Information Science, 20(7), 703–726. DOI ↗Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713Dijkstra, E. W. (1959). A note on two problems in connexion with graphs. Numerische Mathematik, 1(1), 269–271. DOI ↗Cooper, L. (1963). Location-allocation problems. Operations Research, 11(3), 331–343. DOI ↗
Majina mbadalaGIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitabilitycost-distance analysis, accumulated cost surface, least-cost corridor, en düşük maliyetli yolfacility location, p-median problem, maximal covering location problem, yer-tahsis modelleri
Zinazohusiana4834
MuhtasariGIS-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.AHP (Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1980. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.Least-cost path analysis finds the route between two locations that minimizes accumulated travel cost across a landscape, rather than minimizing straight-line distance. By encoding terrain, slope, land cover, and other frictions into a cost surface and accumulating cost outward from a source, it identifies optimal corridors for roads, pipelines, trails, power lines, and wildlife movement — a core raster-GIS technique built on Dijkstra's shortest-path logic.Location-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.
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ScholarGateLinganisha mbinu: GIS-MCDA · AHP · Least-Cost Path · Location-Allocation. Imepatikana 2026-06-19 kutoka https://scholargate.app/sw/compare