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Kartaalgebra×Landskapsmönstermetrik×
ÄmnesområdeRumslig analysRumslig analys
FamiljProcess / pipelineProcess / pipeline
Ursprungsår19901988
UpphovspersonDana TomlinR. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS)
TypRaster spatial analysis frameworkQuantitative landscape pattern description
UrsprungskällaTomlin, C. D. (1990). Geographic Information Systems and Cartographic Modeling. Prentice Hall. ISBN: 978-0-13-350927-4O'Neill, R. V., et al. (1988). Indices of landscape pattern. Landscape Ecology, 1(3), 153–162. DOI ↗
AliasCartographic Modeling, Raster Algebra, Grid Algebra, Harita Cebirilandscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri
Närliggande33
SammanfattningMap 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.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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ScholarGateJämför metoder: Map Algebra · Landscape Metrics. Hämtad 2026-06-18 från https://scholargate.app/sv/compare