Predicting future urban growth scenarios and potential urban flood exposure using Artificial Neural Network-Markov Chain model in Miami Metropolitan Area
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DOI: 10.1016/j.landusepol.2022.105994
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- Jiangfu Liao & Lina Tang & Guofan Shao, 2022. "Multi-Scenario Simulation to Predict Ecological Risk Posed by Urban Sprawl with Spontaneous Growth: A Case Study of Quanzhou," IJERPH, MDPI, vol. 19(22), pages 1-22, November.
- Bukvic, A. & Mitchell, A. & Shao, Y. & Irish, J.L., 2023. "Spatiotemporal implications of flooding on relocation risk in rural and urban coastal municipalities," Land Use Policy, Elsevier, vol. 132(C).
- Jinsen Mou & Zhaofang Chen & Junda Huang, 2023. "Predicting Urban Expansion to Assess the Change of Landscape Character Types and Its Driving Factors in the Mountain City," Land, MDPI, vol. 12(4), pages 1-20, April.
- Caroline J. Williams & Rachel A. Davidson & Linda K. Nozick & Meghan Millea & Jamie L. Kruse & Joseph E. Trainor, 2023. "Single-family housing inventory projection method for natural hazard risk modeling applications," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 119(1), pages 409-434, October.
- Vafadarnikjoo, Amin & Chalvatzis, Konstantinos & Botelho, Tiago & Bamford, David, 2023. "A stratified decision-making model for long-term planning: Application in flood risk management in Scotland," Omega, Elsevier, vol. 116(C).
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- Minjun Kim & Dongbeom Kim & Daeyong Jin & Geunhan Kim, 2023. "Application of Explainable Artificial Intelligence (XAI) in Urban Growth Modeling: A Case Study of Seoul Metropolitan Area, Korea," Land, MDPI, vol. 12(2), pages 1-17, February.
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Keywords
Urban growth prediction; Flood risk; Sea level rise; Artificial Neural Network-Markov Chain model;All these keywords.
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