विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| GIS-MCDA× | लैंडस्केप पैटर्न मेट्रिक्स× | |
|---|---|---|
| क्षेत्र | स्थानिक विश्लेषण | स्थानिक विश्लेषण |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 2006 | 1988 |
| प्रवर्तक≠ | Jacek Malczewski (GIS-MCDA synthesis) | R. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS) |
| प्रकार≠ | Spatial multi-criteria suitability/decision analysis | Quantitative landscape pattern description |
| मौलिक स्रोत≠ | 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 ↗ |
| उपनाम≠ | GIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitability | landscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri |
| संबंधित≠ | 4 | 3 |
| सारांश≠ | 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. |
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