Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges
文献类型：期刊论文
| 作者 | Chen, Min2,26,27; Claramunt, Christophe3; coltekin, Arzu4; Liu, Xintao5; Peng, Peng6; Robinson, Anthony C.7; Wang, Dajiang26,27; Strobl, Josef8; Wilson, John P.9; Batty, Michael10 |
| 刊名 | EARTH-SCIENCE REVIEWS
 |
| 出版日期 | 2023-06-01 |
| 卷号 | 241页码:10 |
| 关键词 | Geographical space Cyberspace GeoAI GeoVA |
| ISSN号 | 0012-8252 |
| DOI | 10.1016/j.earscirev.2023.104438 |
| 通讯作者 | Liu, Xintao(xintao.liu@polyu.edu.hk) ; Lue, Guonian(gnlu@njnu.edu.cn) |
| 英文摘要 | In recent decades, we have witnessed great advances on the Internet of Things, mobile devices, sensor-based systems, and resulting big data infrastructures, which have gradually, yet fundamentally influenced the way people interact with and in the digital and physical world. Many human activities now not only operate in geographical (physical) space but also in cyberspace. Such changes have triggered a paradigm shift in geographic information science (GIScience), as cyberspace brings new perspectives for the roles played by spatial and temporal dimensions, e.g., the dilemma of placelessness and possible timelessness. As a discipline at the brink of even bigger changes made possible by machine learning and artificial intelligence, this paper highlights the challenges and opportunities associated with geographical space in relation to cyberspace, with a particular focus on data analytics and visualization, including extended AI capabilities and virtual reality representations. Consequently, we encourage the creation of synergies between the processing and analysis of geographical and cyber data to improve sustainability and solve complex problems with geospatial applications and other digital advancements in urban and environmental sciences. |
| WOS关键词 | GEOSPATIAL BIG DATA ; SOCIAL MEDIA DATA ; ENVIRONMENTS VGES ; INFORMATION ; LOCATION ; VISUALIZATION ; FOUNDATION ; COGNITION ; SCENARIO ; GIS |
| 资助项目 | National Natural ScienceFoundation (NSF) of China[41930648] ; National Natural ScienceFoundation (NSF) of China[42071363] |
| WOS研究方向 | Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:001000187200001 |
| 出版者 | ELSEVIER |
| 资助机构 | National Natural ScienceFoundation (NSF) of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/197831]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Xintao; Lue, Guonian |
| 作者单位 | 1.NYU, Ctr Urban Sci Progress, Tandon Sch Engn, Dept Comp Sci & Engn, Fl 13, 370 Jay St, Brooklyn, NY 11201 USA 2.Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ PRC, Nanjing 210023, Peoples R China 3.Naval Acad Res Inst, Brest Naval, BP 600, F-29240 Lanveoc, France 4.Univ Appl Sci & Arts Northwestern Switzerland, Inst Interact Technol, Sch Engn, Bahnhofstr 6, CH-5210 Windisch, Switzerland 5.Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, 181 Chatham Rd South, Hung Hom, Hong Kong, Peoples R China 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst L, Beijing 100101, Peoples R China 7.Penn State Univ, Dept Geog, University Pk, PA 16802 USA 8.Univ Salzburg, Dept Geoinformat Z GIS, Salzburg, Austria 9.Univ Southern Calif Los Angeles, Spatial Sci Inst, Dana & David Dornsife, Coll Letters Arts & Sci, Los Angeles, CA USA 10.UCL, Ctr Adv Spatial Anal CASA, London, England |
| 推荐引用方式 GB/T 7714 | Chen, Min,Claramunt, Christophe,coltekin, Arzu,et al. Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges[J]. EARTH-SCIENCE REVIEWS,2023,241:10. |
| APA | Chen, Min.,Claramunt, Christophe.,coltekin, Arzu.,Liu, Xintao.,Peng, Peng.,...&Lue, Guonian.(2023).Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges.EARTH-SCIENCE REVIEWS,241,10. |
| MLA | Chen, Min,et al."Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges".EARTH-SCIENCE REVIEWS 241(2023):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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