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Álgebra de mapas×Análisis de Decisión Multicriterio Basado en SIG (GIS-MCDA)×
CampoAnálisis espacialAnálisis espacial
FamiliaProcess / pipelineProcess / pipeline
Año de origen19902006
Autor originalDana TomlinJacek Malczewski (GIS-MCDA synthesis)
TipoRaster spatial analysis frameworkSpatial multi-criteria suitability/decision analysis
Fuente seminalTomlin, C. D. (1990). Geographic Information Systems and Cartographic Modeling. Prentice Hall. ISBN: 978-0-13-350927-4Malczewski, J. (2006). GIS-based multicriteria decision analysis: a survey of the literature. International Journal of Geographical Information Science, 20(7), 703–726. DOI ↗
AliasCartographic Modeling, Raster Algebra, Grid Algebra, Harita CebiriGIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitability
Relacionados34
ResumenMap 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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ScholarGateComparar métodos: Map Algebra · GIS-MCDA. Recuperado el 2026-06-17 de https://scholargate.app/es/compare