Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Ainavu un mezglu modeļa metrikas× | CA-Markov zemes lietojuma pārmaiņu modelis× | |
|---|---|---|
| Nozare | Telpiskā analīze | Telpiskā analīze |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1988 | 1997 |
| Autors≠ | R. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS) | Cellular automata (Clarke) + Markov chain (Muller & Middleton) |
| Tips≠ | Quantitative landscape pattern description | Spatio-temporal land-use change simulation |
| Pirmavots≠ | O'Neill, R. V., et al. (1988). Indices of landscape pattern. Landscape Ecology, 1(3), 153–162. DOI ↗ | Clarke, K. C., Hoppen, S., & Gaydos, L. (1997). A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environment and Planning B, 24(2), 247–261. DOI ↗ |
| Citi nosaukumi | landscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri | CA-Markov model, cellular automata Markov, land-use change simulation, CA-Markov arazi kullanımı modeli |
| Saistītās | 3 | 3 |
| Kopsavilkums≠ | 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. | CA-Markov is a hybrid spatio-temporal model that projects land-use and land-cover change by combining a Markov chain — which predicts how much of each class will change — with cellular automata, which decide where that change happens. Widely used for urban-growth and land-cover forecasting, it answers both the quantity and the location of change, something neither component does well alone. |
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