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Sammenlign metoder

Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.

Kartalgebra×Landskapsmønstermetrikker×
FagfeltRomlig analyseRomlig analyse
FamilieProcess / pipelineProcess / pipeline
Opprinnelsesår19901988
OpphavspersonDana TomlinR. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS)
TypeRaster spatial analysis frameworkQuantitative landscape pattern description
Opprinnelig kildeTomlin, 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
Relaterte33
SammendragMap 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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ScholarGateSammenlign metoder: Map Algebra · Landscape Metrics. Hentet 2026-06-18 fra https://scholargate.app/no/compare