State of the Art on Artificial Intelligence in Land Use Simulation
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 ana...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2022/2291508 |
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| _version_ | 1849412945324277760 |
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| author | M. Luz Castro Penousal Machado Iria Santos Nereida Rodriguez-Fernandez Alvaro Torrente-Patiño Adrian Carballal |
| author_facet | M. Luz Castro Penousal Machado Iria Santos Nereida Rodriguez-Fernandez Alvaro Torrente-Patiño Adrian Carballal |
| author_sort | M. Luz Castro |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-65f9bb0d24ff4f4cbe37aa2829a47d55 |
| institution | Kabale University |
| issn | 1099-0526 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-65f9bb0d24ff4f4cbe37aa2829a47d552025-08-20T03:34:17ZengWileyComplexity1099-05262022-01-01202210.1155/2022/2291508State of the Art on Artificial Intelligence in Land Use SimulationM. Luz Castro0Penousal Machado1Iria Santos2Nereida Rodriguez-Fernandez3Alvaro Torrente-Patiño4Adrian Carballal5CITIC-Research Center of Information and Communication TechnologiesCISUCCITIC-Research Center of Information and Communication TechnologiesCITIC-Research Center of Information and Communication TechnologiesCITIC-Research Center of Information and Communication TechnologiesCITIC-Research Center of Information and Communication TechnologiesThis 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.http://dx.doi.org/10.1155/2022/2291508 |
| spellingShingle | 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 |
| title | State of the Art on Artificial Intelligence in Land Use Simulation |
| title_full | State of the Art on Artificial Intelligence in Land Use Simulation |
| title_fullStr | State of the Art on Artificial Intelligence in Land Use Simulation |
| title_full_unstemmed | State of the Art on Artificial Intelligence in Land Use Simulation |
| title_short | State of the Art on Artificial Intelligence in Land Use Simulation |
| title_sort | state of the art on artificial intelligence in land use simulation |
| url | http://dx.doi.org/10.1155/2022/2291508 |
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