A novel spatio-temporal cellular automata model coupling partitioning with CNN-LSTM to urban land change simulation
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DOI: 10.1016/j.ecolmodel.2023.110394
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- Andong Guo & Yuqing Zhang & Qing Hao, 2020. "Monitoring and Simulation of Dynamic Spatiotemporal Land Use/Cover Changes," Complexity, Hindawi, vol. 2020, pages 1-12, June.
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- Xiang Li & Jiang Zhu & Tao Liu & Xiangdong Yin & Jiangchun Yao & Hao Jiang & Bing Bu & Jianlong Yan & Yixuan Li & Zhangcheng Chen, 2023. "Quota and Space Allocations of New Urban Land Supported by Urban Growth Simulations: A Case Study of Guangzhou City, China," Land, MDPI, vol. 12(6), pages 1-21, June.
- Zeng, Haoran & Wang, Haijun & Zhang, Bin & Song, Youcheng & Cao, Xiaoxu & Li, Qiyuan, 2024. "A new cellular automata framework of urban growth modeling by incorporating land use policies and economic development zone planning," Ecological Modelling, Elsevier, vol. 498(C).
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Keywords
Cellular automata; Land use change; Spatio-temporal dependency; Deep learning; Urbanisation; Spatial partitioning;All these keywords.
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