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Modele de localizare-alocare×Analiza Căii cu Cost Minim (Least-Cost Path) / Analiza Cost-Distanță×
DomeniuAnaliză spațialăAnaliză spațială
FamilieProcess / pipelineProcess / pipeline
Anul apariției19631994
Autorul originalLeon Cooper; S. L. HakimiEdsger Dijkstra (shortest path); GIS cost-surface adaptation
TipSpatial facility-location optimizationRaster cost-surface routing
Sursa seminalăCooper, 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 ↗
Denumiri alternativefacility location, p-median problem, maximal covering location problem, yer-tahsis modellericost-distance analysis, accumulated cost surface, least-cost corridor, en düşük maliyetli yol
Înrudite43
RezumatLocation-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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ScholarGateCompară metode: Location-Allocation · Least-Cost Path. Preluat la 2026-06-17 de pe https://scholargate.app/ro/compare