Process / pipelineSpatial simulation
CA-马尔可夫土地利用变化模型
CA-马尔可夫是一种混合时空模型，通过结合马尔可夫链（预测每个类别将如何变化）和元胞自动机（决定变化发生在哪里）来预测土地利用和土地覆盖的变化。它广泛用于城市增长和土地覆盖预测，能够同时回答变化的数量和位置问题，而这两个组成部分单独都无法很好地解决。
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来源
- 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: 10.1068/b240247 ↗
- Muller, M. R., & Middleton, J. (1994). A Markov model of land-use change dynamics in the Niagara Region, Ontario, Canada. Landscape Ecology, 9(2), 151–157. DOI: 10.1007/BF00124382 ↗
如何引用本页
ScholarGate. (2026, June 2). Cellular Automata-Markov Land-Use Change Model. ScholarGate. https://scholargate.app/zh/spatial-analysis/ca-markov
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