International Journal of Geographical Information Science
Volume 32, 2018 - Issue 10
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, China
http://orcid.org/0000-0002-0997-558XView further author information
http://orcid.org/0000-0002-0997-558XView further author information, 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]
http://orcid.org/0000-0003-3050-8529View further author information
http://orcid.org/0000-0003-3050-8529View further author information, Yao YaoSchool of Information Engineering, China University of Geosciences, Wuhan, China;Department of Data Technology and Products, Alibaba Group, Hangzhou, Chinahttp://orcid.org/0000-0002-2830-0377View further author information
http://orcid.org/0000-0002-2830-0377View further author information, Ye HongDepartment of Civil, Environmental and Geomatic Engineering, ETH Zurich, Zürich, Switzerlandhttp://orcid.org/0000-0002-8996-3748View further author information
http://orcid.org/0000-0002-8996-3748View further author information & Zhang JinbaoSchool of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, Chinahttp://orcid.org/0000-0001-8510-149XView further author information
http://orcid.org/0000-0001-8510-149XView further author information