TY - JOUR
T1 - Artificial intelligence and visual analytics in geographical space and cyberspace
T2 - Research opportunities and challenges
AU - Chen, Min
AU - Claramunt, Christophe
AU - Çöltekin, Arzu
AU - Liu, Xintao
AU - Peng, Peng
AU - Robinson, Anthony C.
AU - Wang, Dajiang
AU - Strobl, Josef
AU - Wilson, John P.
AU - Batty, Michael
AU - Kwan, Mei Po
AU - Lotfian, Maryam
AU - Golay, François
AU - Joost, Stéphane
AU - Ingensand, Jens
AU - Senousi, Ahmad M.
AU - Cheng, Tao
AU - Bandrova, Temenoujka
AU - Konecny, Milan
AU - Torrens, Paul M.
AU - Klippel, Alexander
AU - Li, Songnian
AU - Zhang, Fengyuan
AU - He, Li
AU - Wang, Jinfeng
AU - Ratti, Carlo
AU - Kolditz, Olaf
AU - Lin, Hui
AU - Lü, Guonian
N1 - Funding Information:
We appreciate the detailed suggestions and comments from the editor and anonymous reviewers. This work was supported by the National Natural ScienceFoundation (NSF) of China [Grant No. 41930648 and 42071363 ].
Publisher Copyright:
© 2023 The Authors
PY - 2023/6
Y1 - 2023/6
N2 - 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.
AB - 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.
KW - Cyberspace
KW - GeoAI
KW - Geographical space
KW - GeoVA
KW - GIScience
UR - http://www.scopus.com/inward/record.url?scp=85153931842&partnerID=8YFLogxK
U2 - 10.1016/j.earscirev.2023.104438
DO - 10.1016/j.earscirev.2023.104438
M3 - Review article
AN - SCOPUS:85153931842
SN - 0012-8252
VL - 241
JO - Earth-Science Reviews
JF - Earth-Science Reviews
M1 - 104438
ER -