विधियों की तुलना करें

	GIS-MCDA	विश्लेषणात्मक पदानुक्रम प्रक्रिया	न्यूनतम-लागत पथ / लागत-दूरी विश्लेषण	आदर्श समाधान के साथ समानता द्वारा वरीयता के लिए तकनीक
क्षेत्र	स्थानिक विश्लेषण	निर्णयन	स्थानिक विश्लेषण	निर्णयन
परिवार	Process / pipeline	MCDM	Process / pipeline	MCDM
उद्भव वर्ष	2006	1980	1994	1981
प्रवर्तक	Jacek Malczewski (GIS-MCDA synthesis)	Saaty, T. L.	Edsger Dijkstra (shortest path); GIS cost-surface adaptation	Hwang, C. L., Yoon, K.
प्रकार	Spatial multi-criteria suitability/decision analysis	Pairwise comparison (eigenvalue)	Raster cost-surface routing	Distance-based (compromise)
मौलिक स्रोत	Malczewski, J. (2006). GIS-based multicriteria decision analysis: a survey of the literature. International Journal of Geographical Information Science, 20(7), 703–726.	Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713	Dijkstra, E. W. (1959). A note on two problems in connexion with graphs. Numerische Mathematik, 1(1), 269–271.	Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag
उपनाम	GIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitability	—	cost-distance analysis, accumulated cost surface, least-cost corridor, en düşük maliyetli yol	—
संबंधित	4	8	3	8
सारांश	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.	AHP (Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1980. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	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.	TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.