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Maisemakuvioiden mittarit×Yhteisöjen tunnistus×
TieteenalaSpatiaalianalyysiVerkostoanalyysi
MenetelmäperheProcess / pipelineProcess / pipeline
Syntyvuosi19882002–2019 (algorithm family)
KehittäjäR. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS)Louvain: Blondel et al. (2008); Leiden: Traag et al. (2019); Girvan-Newman: Girvan & Newman (2002); Infomap: Rosvall & Bergstrom (2008)
TyyppiQuantitative landscape pattern descriptionGraph-partitioning / clustering algorithm family
AlkuperäislähdeO'Neill, R. V., et al. (1988). Indices of landscape pattern. Landscape Ecology, 1(3), 153–162. DOI ↗Blondel, V.D., Guillaume, J.-L., Lambiotte, R. & Lefebvre, E. (2008). Fast Unfolding of Communities in Large Networks. Journal of Statistical Mechanics, 2008(10), P10008. DOI ↗
Rinnakkaisnimetlandscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metriklerigraph clustering, network partitioning, Topluluk Tespiti (Louvain, Girvan-Newman, Leiden)
Liittyvät35
TiivistelmäLandscape 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.Community detection is a family of graph-partitioning algorithms that discover densely connected sub-groups — communities — within a network. First formalised through the modularity measure by Girvan and Newman (2002), the field advanced rapidly with the Louvain method (Blondel et al., 2008), the Leiden refinement (Traag et al., 2019), and the information-theoretic Infomap approach. All variants answer the same question: which nodes cluster together more tightly among themselves than with the rest of the network?
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ScholarGateVertaile menetelmiä: Landscape Metrics · Community Detection. Haettu 2026-06-18 osoitteesta https://scholargate.app/fi/compare