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http://hdl.handle.net/2183/31489 State of the Art on Artificial Intelligence in Land Use Simulation
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M. Luz Castro, Penousal Machado, Iria Santos, Nereida Rodriguez-Fernandez, Alvaro Torrente-Patiño, Adrian Carballal, "State of the Art on Artificial Intelligence in Land Use Simulation", Complexity, vol. 2022, Article ID 2291508, 19 pages, 2022. https://doi.org/10.1155/2022/2291508
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[Abstract] This review presents a state of the art in artificial intelligence applied to urban planning and particularly to land-use predictions. In this review, different articles after the year 2016 are analyzed mostly focusing on those that are not mentioned in earlier publications. Most of the articles analyzed used a combination of Markov chains and cellular automata to predict the growth of urban areas and metropolitan regions. We noticed that most of these simulations were applied in various areas of China. An analysis of the publication of articles in the area over time is included.
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Atribución 3.0 España
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Except where otherwise noted, this item's license is described as Atribución 3.0 España