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Мултикритериална анализ на решенията, базиран на ГИС (GIS-MCDA)×Метрики за ландшафтни модели×
ОбластПространствен анализПространствен анализ
СемействоProcess / pipelineProcess / pipeline
Година на възникване20061988
СъздателJacek Malczewski (GIS-MCDA synthesis)R. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS)
ТипSpatial multi-criteria suitability/decision analysisQuantitative landscape pattern description
Основополагащ източникMalczewski, 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 ↗
Други названияGIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitabilitylandscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri
Свързани43
РезюмеGIS-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.
ScholarGateНабор от данни
  1. v1
  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 2 Източници
  3. PUBLISHED

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ScholarGateСравнение на методи: GIS-MCDA · Landscape Metrics. Извлечено на 2026-06-19 от https://scholargate.app/bg/compare