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Multi-kritēriju lēmumu analīze, kas balstīta uz ĢIS (GIS-MCDA)×Analīze mazākajām izmaksām / izmaksu attāluma analīze×
NozareTelpiskā analīzeTelpiskā analīze
SaimeProcess / pipelineProcess / pipeline
Izcelsmes gads20061994
AutorsJacek Malczewski (GIS-MCDA synthesis)Edsger Dijkstra (shortest path); GIS cost-surface adaptation
TipsSpatial multi-criteria suitability/decision analysisRaster cost-surface routing
PirmavotsMalczewski, J. (2006). GIS-based multicriteria decision analysis: a survey of the literature. International Journal of Geographical Information Science, 20(7), 703–726. DOI ↗Dijkstra, E. W. (1959). A note on two problems in connexion with graphs. Numerische Mathematik, 1(1), 269–271. DOI ↗
Citi nosaukumiGIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitabilitycost-distance analysis, accumulated cost surface, least-cost corridor, en düşük maliyetli yol
Saistītās43
KopsavilkumsGIS-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.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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ScholarGateSalīdzināt metodes: GIS-MCDA · Least-Cost Path. Izgūts 2026-06-18 no https://scholargate.app/lv/compare