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| Algèbre cartographique× | L'analyse multicritère (AMC) basée sur SIG (AMC-SIG)× | |
|---|---|---|
| Domaine | Analyse spatiale | Analyse spatiale |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1990 | 2006 |
| Auteur d'origine≠ | Dana Tomlin | Jacek Malczewski (GIS-MCDA synthesis) |
| Type≠ | Raster spatial analysis framework | Spatial multi-criteria suitability/decision analysis |
| Source fondatrice≠ | Tomlin, C. D. (1990). Geographic Information Systems and Cartographic Modeling. Prentice Hall. ISBN: 978-0-13-350927-4 | Malczewski, J. (2006). GIS-based multicriteria decision analysis: a survey of the literature. International Journal of Geographical Information Science, 20(7), 703–726. DOI ↗ |
| Alias≠ | Cartographic Modeling, Raster Algebra, Grid Algebra, Harita Cebiri | GIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitability |
| Apparentées≠ | 3 | 4 |
| Résumé≠ | Map Algebra is a rule-based language and computational framework for deriving new raster layers from existing ones by applying arithmetic, logical, or statistical operations cell by cell or across neighborhoods. Formalized by Dana Tomlin in 1990, it is the foundational algebraic system underlying raster GIS analysis and is widely used in environmental science, urban planning, hydrology, and land-use modeling whenever spatially explicit calculations on gridded data are required. | 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. |
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