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Análise de Decisão Multicritério Baseada em SIG (SIG-MCDA)×Métricas de Padrão de Paisagem×
ÁreaAnálise espacialAnálise espacial
FamíliaProcess / pipelineProcess / pipeline
Ano de origem20061988
Autor originalJacek Malczewski (GIS-MCDA synthesis)R. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS)
TipoSpatial multi-criteria suitability/decision analysisQuantitative landscape pattern description
Fonte seminalMalczewski, J. (2006). GIS-based multicriteria decision analysis: a survey of the literature. International Journal of Geographical Information Science, 20(7), 703–726. DOI ↗O'Neill, R. V., et al. (1988). Indices of landscape pattern. Landscape Ecology, 1(3), 153–162. DOI ↗
Outros nomesGIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitabilitylandscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri
Relacionados43
ResumoGIS-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.Landscape metrics are quantitative indices that describe the composition and spatial configuration of a categorical map — typically land cover — at the patch, class, and whole-landscape levels. Developed in landscape ecology (O'Neill and colleagues, 1988) and made widely usable by the FRAGSTATS software, they turn maps into numbers like patch density, edge density, fragmentation, diversity, and connectivity for ecological, planning, and change analysis.
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ScholarGateComparar métodos: GIS-MCDA · Landscape Metrics. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare