পদ্ধতির তুলনা করুন

	সর্বনিম্ন-ব্যয় পথ / ব্যয়-দূরত্ব বিশ্লেষণ	ভৌগলিক তথ্য ব্যবস্থা-ভিত্তিক বহু-মাপকাঠি সিদ্ধান্ত বিশ্লেষণ (GIS-MCDA)
ক্ষেত্র	স্থানিক বিশ্লেষণ	স্থানিক বিশ্লেষণ
পরিবার	Process / pipeline	Process / pipeline
উদ্ভবের বছর	1994	2006
প্রবর্তক	Edsger Dijkstra (shortest path); GIS cost-surface adaptation	Jacek Malczewski (GIS-MCDA synthesis)
ধরন	Raster cost-surface routing	Spatial multi-criteria suitability/decision analysis
মৌলিক উৎস	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.
অপর নাম	cost-distance analysis, accumulated cost surface, least-cost corridor, en düşük maliyetli yol	GIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitability
সম্পর্কিত	3	4
সারসংক্ষেপ	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.