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| GIS-MCDA× | Lineare Programmierung× | |
|---|---|---|
| Fachgebiet≠ | Räumliche Analyse | Optimierung |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 2006 | 1947 |
| Urheber≠ | Jacek Malczewski (GIS-MCDA synthesis) | George B. Dantzig |
| Typ≠ | Spatial multi-criteria suitability/decision analysis | Mathematical programming / continuous optimization |
| Wegweisende Quelle≠ | Malczewski, J. (2006). GIS-based multicriteria decision analysis: a survey of the literature. International Journal of Geographical Information Science, 20(7), 703–726. DOI ↗ | Dantzig, G.B. (1963). Linear Programming and Extensions. Princeton University Press. ISBN: 9780691059136 |
| Aliasnamen≠ | GIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitability | LP, linear optimization, Doğrusal Programlama (LP) |
| Verwandt | 4 | 4 |
| Zusammenfassung≠ | 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. | Linear programming (LP), pioneered by George B. Dantzig in 1947, is a mathematical method for finding the best value of a linear objective function — such as minimum cost or maximum profit — subject to a set of linear inequality and equality constraints. It is the foundational technique in operations research and underlies production planning, resource allocation, logistics, diet problems, and countless other decision-making scenarios across engineering, economics, and the natural sciences. |
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