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| Map Algebra× | Metriken für Landschaftsmuster× | |
|---|---|---|
| Fachgebiet | Räumliche Analyse | Räumliche Analyse |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 1990 | 1988 |
| Urheber≠ | Dana Tomlin | R. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS) |
| Typ≠ | Raster spatial analysis framework | Quantitative landscape pattern description |
| Wegweisende Quelle≠ | Tomlin, C. D. (1990). Geographic Information Systems and Cartographic Modeling. Prentice Hall. ISBN: 978-0-13-350927-4 | O'Neill, R. V., et al. (1988). Indices of landscape pattern. Landscape Ecology, 1(3), 153–162. DOI ↗ |
| Aliasnamen | Cartographic Modeling, Raster Algebra, Grid Algebra, Harita Cebiri | landscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri |
| Verwandt | 3 | 3 |
| Zusammenfassung≠ | Map 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. |
| ScholarGateDatensatz ↗ |
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