Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| GIS-põhine mitmekriteeriumiline otsustusanalyys (GIS-MCDA)× | Maastiku mustri mõõdikud× | |
|---|---|---|
| Valdkond | Ruumianalüüs | Ruumianalüüs |
| Perekond | Process / pipeline | Process / pipeline |
| Tekkeaasta≠ | 2006 | 1988 |
| Looja≠ | Jacek Malczewski (GIS-MCDA synthesis) | R. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS) |
| Tüüp≠ | Spatial multi-criteria suitability/decision analysis | Quantitative landscape pattern description |
| Algallikas≠ | Malczewski, 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 ↗ |
| Rööpnimetused≠ | GIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitability | landscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri |
| Seotud≠ | 4 | 3 |
| Kokkuvõte≠ | GIS-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. |
| ScholarGateAndmestik ↗ |
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