Salīdzināt metodes

	Analīze mazākajām izmaksām / izmaksu attāluma analīze	Multi-kritēriju lēmumu analīze, kas balstīta uz ĢIS (GIS-MCDA)
Nozare	Telpiskā analīze	Telpiskā analīze
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1994	2006
Autors	Edsger Dijkstra (shortest path); GIS cost-surface adaptation	Jacek Malczewski (GIS-MCDA synthesis)
Tips	Raster cost-surface routing	Spatial multi-criteria suitability/decision analysis
Pirmavots	Dijkstra, E. W. (1959). A note on two problems in connexion with graphs. Numerische Mathematik, 1(1), 269–271.	Malczewski, J. (2006). GIS-based multicriteria decision analysis: a survey of the literature. International Journal of Geographical Information Science, 20(7), 703–726.
Citi nosaukumi	cost-distance analysis, accumulated cost surface, least-cost corridor, en düşük maliyetli yol	GIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitability
Saistītās	3	4
Kopsavilkums	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.	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.