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Asukohavaliku mudelid×Vähimalkulude tee / kuludistantsi analüüs×
ValdkondRuumianalüüsRuumianalüüs
PerekondProcess / pipelineProcess / pipeline
Tekkeaasta19631994
LoojaLeon Cooper; S. L. HakimiEdsger Dijkstra (shortest path); GIS cost-surface adaptation
TüüpSpatial facility-location optimizationRaster cost-surface routing
AlgallikasCooper, L. (1963). Location-allocation problems. Operations Research, 11(3), 331–343. DOI ↗Dijkstra, E. W. (1959). A note on two problems in connexion with graphs. Numerische Mathematik, 1(1), 269–271. DOI ↗
Rööpnimetusedfacility location, p-median problem, maximal covering location problem, yer-tahsis modellericost-distance analysis, accumulated cost surface, least-cost corridor, en düşük maliyetli yol
Seotud43
KokkuvõteLocation-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.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.
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ScholarGateVõrdle meetodeid: Location-Allocation · Least-Cost Path. Loetud 2026-06-17 aadressilt https://scholargate.app/et/compare