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International Journal of Geographical Information Science Volume 32, 2018 - Issue 10
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Research Article

Mining transition rules of cellular automata for simulating urban expansion by using the deep learning techniques

Jialv HeSchool of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, ChinaORCID Iconhttp://orcid.org/0000-0002-0997-558XView further author information
ORCID Icon,
Xia LiSchool of Geographic Sciences, Key Lab. of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, P.R. China;School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, ChinaCorrespondence[email protected] [email protected]
ORCID Iconhttp://orcid.org/0000-0003-3050-8529View further author information
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Yao YaoSchool of Information Engineering, China University of Geosciences, Wuhan, China;Department of Data Technology and Products, Alibaba Group, Hangzhou, ChinaORCID Iconhttp://orcid.org/0000-0002-2830-0377View further author information
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Ye HongDepartment of Civil, Environmental and Geomatic Engineering, ETH Zurich, Zürich, SwitzerlandORCID Iconhttp://orcid.org/0000-0002-8996-3748View further author information
ORCID Icon &
Zhang JinbaoSchool of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, ChinaORCID Iconhttp://orcid.org/0000-0001-8510-149XView further author information
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Pages 2076-2097 | Received 03 Jun 2017, Accepted 18 May 2018, Published online: 06 Jun 2018

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Guangzhao Chen, Haoming Zhuang & Xiaoping Liu. (2023) Cell-level coupling of a mechanistic model to cellular automata for improving land simulation. GIScience & Remote Sensing 60:1.
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Jinqu Zhang, Donglin Wu, A-Xing Zhu & Yunqiang Zhu. (2023) Modelling urban expansion with cellular automata supported by urban growth intensity over time. Annals of GIS 29:3, pages 337-353.
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Haoran Zeng, Haijun Wang, Bin Zhang & Quan Wang. (2023) A methodology to quantify the neighborhood decay effect of urban cellular automata models. International Journal of Geographical Information Science 37:6, pages 1236-1263.
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Hanieh Shojaei, Saeed Nadi, Hossein Shafizadeh-Moghadam, Amin Tayyebi & John Van Genderen. (2022) An efficient built-up land expansion model using a modified U-Net. International Journal of Digital Earth 15:1, pages 148-163.
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Haoming Zhuang, Guangzhao Chen, Yuchao Yan, Bingjie Li, Li Zeng, Jinpei Ou, Kangyao Liu & Xiaoping Liu. (2022) Simulation of urban land expansion in China at 30 m resolution through 2050 under shared socioeconomic pathways. GIScience & Remote Sensing 59:1, pages 1301-1320.
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Xinxin Wu, Xiaoping Liu, Dachuan Zhang, Jinbao Zhang, Jialyu He & Xiaocong Xu. (2022) Simulating mixed land-use change under multi-label concept by integrating a convolutional neural network and cellular automata: a case study of Huizhou, China. GIScience & Remote Sensing 59:1, pages 609-632.
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Bin Xiao, Jiamin Liu, Jizong Jiao, Yueshi Li, Xiaoyang Liu & Wanyang Zhu. (2022) Modeling dynamic land use changes in the eastern portion of the hexi corridor, China by cnn-gru hybrid model. GIScience & Remote Sensing 59:1, pages 501-519.
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Yongjiu Feng, Rong Wang, Xiaohua Tong & Shuting Zhai. (2022) Comparison of change and static state as the dependent variable for modeling urban growth. Geocarto International 37:23, pages 6975-6998.
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Bin Zhang & Chang Xia. (2022) The effects of sample size and sample prevalence on cellular automata simulation of urban growth. International Journal of Geographical Information Science 36:1, pages 158-187.
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Chang Xia & Bin Zhang. (2021) Exploring the effects of partitioned transition rules upon urban growth simulation in a megacity region: a comparative study of cellular automata-based models in the Greater Wuhan Area. GIScience & Remote Sensing 58:5, pages 693-716.
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Bin Zhang & Haijun Wang. (2021) A new type of dual-scale neighborhood based on vectorization for cellular automata models. GIScience & Remote Sensing 58:3, pages 386-404.
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Xun Liang, Xiaoping Liu, Guangliang Chen, Jiye Leng, Youyue Wen & Guangzhao Chen. (2020) Coupling fuzzy clustering and cellular automata based on local maxima of development potential to model urban emergence and expansion in economic development zones. International Journal of Geographical Information Science 34:10, pages 1930-1952.
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Yaqian Zhai, Yao Yao, Qingfeng Guan, Xun Liang, Xia Li, Yongting Pan, Hanqiu Yue, Zehao Yuan & Jianfeng Zhou. (2020) Simulating urban land use change by integrating a convolutional neural network with vector-based cellular automata. International Journal of Geographical Information Science 34:7, pages 1475-1499.
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Haijun Wang, Bin Zhang, Chang Xia, Sanwei He & Wenting Zhang. (2020) Using a maximum entropy model to optimize the stochastic component of urban cellular automata models. International Journal of Geographical Information Science 34:5, pages 924-946.
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Xiaohua Tong & Yongjiu Feng. (2020) A review of assessment methods for cellular automata models of land-use change and urban growth. International Journal of Geographical Information Science 34:5, pages 866-898.
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Yue Lin, Mengjun Kang, Yuyang Wu, Qingyun Du & Tao Liu. (2020) A deep learning architecture for semantic address matching. International Journal of Geographical Information Science 34:3, pages 559-576.
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Xun Liang, Xiaoping Liu, Dan Li, Hui Zhao & Guangzhao Chen. (2018) Urban growth simulation by incorporating planning policies into a CA-based future land-use simulation model. International Journal of Geographical Information Science 32:11, pages 2294-2316.
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