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State of the Art on Artificial Intelligence in Land Use Simulation
| dc.contributor.author | Castro, M. Luz | |
| dc.contributor.author | Machado, Penousal | |
| dc.contributor.author | Santos, Iria | |
| dc.contributor.author | Rodríguez-Fernández, Nereida | |
| dc.contributor.author | Torrente-Patiño, Álvaro | |
| dc.contributor.author | Carballal, Adrián | |
| dc.date.accessioned | 2022-09-05T15:16:49Z | |
| dc.date.available | 2022-09-05T15:16:49Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | 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 | es_ES |
| dc.identifier.uri | http://hdl.handle.net/2183/31489 | |
| dc.description.abstract | [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. | es_ES |
| dc.description.sponsorship | This project was supported by the General Directorate of Culture, Education and University Management of Xunta de Galicia (ref. ED431G/01 and ED431D 2017/16), the Spanish Ministry of Economy and Competitiveness via funding of the unique installation BIOCAI (UNLC08-1E-002 and UNLC13-13-3503), and the European Regional Development Funds (FEDER). CITIC, as Research Center accredited by Galician University System, is funded by “Consellería de Cultura, Educación e Universidade from Xunta de Galicia,” supported in an 80% through ERDF Funds, ERDF Operational Programme Galicia 2014–2020, and the remaining 20% by “Secretaria Xeral de Universidades” (grant no. ED431G 2019/01) | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431G/01 | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431D 2017/16 | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431G 2019/01 | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | Hindawi Limited | es_ES |
| dc.relation.uri | https://doi.org/10.1155/2022/2291508 | es_ES |
| dc.rights | Atribución 3.0 España | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
| dc.title | State of the Art on Artificial Intelligence in Land Use Simulation | es_ES |
| dc.type | info:eu-repo/semantics/article | es_ES |
| dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
| UDC.journalTitle | Complexity | es_ES |
| UDC.volume | 2022 | es_ES |
| UDC.startPage | 2291508 | es_ES |
| dc.identifier.doi | 10.1155/2022/2291508 |
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