Predicting crowd flows via compressed sensing with spatial heterogeneity: an efficient GeoAI framework

Min Deng Xiaoyong Tan Kaiqi Chen Baoju Liu Zhiyuan Zhao Youjun Tu Sheng Wu Xin Hu Zhiwei Zeng a Department of Geo-Informatics, School of Geosciences and Info-physics, Central South University, Changsha, Chinab The Third Surveying and Mapping Institute of Hunan Province, Hunan Geospatial Information Engineering and Technology Research Center, Changsha, Chinac Academy of Digital China (Fujian), Fuzhou University, Fuzhou, ChinaMin Deng is currently a doctoral supervisor and associate dean of the School of Geosciences and Info-Physics, Central South University, Changsha, China. His current research interests include coordinated planning, spatio-temporal data mining, spatio-temporal analysis, modeling and prediction. He has hosted numerous major projects, including a key project of the National Natural Science Foundation of China. He contributed to the conceptualization, methodology, formal analysis, validation, writing - original draft, writing - review & editing and funding acquisition.Xiaoyong Tan is currently a Ph.D. candidate in the School of Geosciences and Info-Physics, Central South University, Changsha, China. His research interests include spatio-temporal prediction and data mining. He contributed to the conceptualization, methodology, formal analysis, software, data curation, visualization, writing - original draft and writing - review & editing.Kaiqi Chen is currently a lecturer in the School of Geosciences and Info-Physics, Central South University, Changsha, China. His research interests include spatio-temporal prediction and data mining. He contributed to the conceptualization, methodology, resources, supervision, writing - original draft, writing - review & editing and funding acquisition.Baoju Liu is currently an associate professor and a doctoral supervisor in the School of Geosciences and Info-Physics, Central South University, Changsha, China. His research interests include spatio-temporal data mining and Geospatial optimization. He contributed to data curation, validation, visualization and funding acquisition.Zhiyuan Zhao is an Associate Researcher at Fuzhou University and the Deputy Director of the Digital Fujian Government Affairs Big Data Research Institute. His main research areas include population dynamics observation and application modeling, as well as regional digital development consulting. He contributed to data curation, formal analysis and validation.Youjun Tu is currently a Ph.D. candidate in Computer Science and Technology at Fuzhou University. His research interests include spatio-temporal big data mining, crowd dynamics observation, and application modeling. He contributed to data curation, formal analysis and validation.Sheng Wu is a Professor at Fuzhou University, Deputy Director of the Theoretical and Methodology Committee of the China Geographic Information Industry Association, and a member of the Cartography and Geographic Information System Professional Committee of the China Society for Geodesy, Photogrammetry, and Cartography. His main research areas include big data analysis and visualization, digital planning, and digital government. He contributed to data curation and funding acquisition.Xin Hu is currently a Ph.D. candidate in the School of Geosciences and Info-Physics, Central South University, Changsha, China. His research interests include spatio-temporal knowledge extraction and knowledge graph construction. He contributed to the data curation and formal analysis.Zhiwei Zeng is currently a master candidate in the School of Geosciences and Info-Physics, Central South University, Changsha, China. His research interests include spatio-temporal data mining. He contributed to the data curation and formal analysis.