Artificial intelligence and visual analytics in geographical
space and cyberspace: Research opportunities and challenges

J 2023

Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges

CHEN, Min, Christophe CLARAMUNT, Arzu COLTEKIN, Xintao LIU, Peng PENG et. al.

Basic information

Original name

Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges

Authors

Edition

Earth-Science Reviews, Elsevier, 2023, 0012-8252

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10500 1.5. Earth and related environmental sciences

Country of publisher

Netherlands

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 12.100 in 2022

RIV identification code

RIV/00216224:14310/23:00132885

Organization unit

Faculty of Science

DOI

http://dx.doi.org/10.1016/j.earscirev.2023.104438

UT WoS

001000187200001

Keywords in English

Geographical space; Cyberspace; GeoAI; GeoVA

Abstract

V originále

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.

Citovat

CHEN, Min, Christophe CLARAMUNT, Arzu COLTEKIN, Xintao LIU, Peng PENG, Anthony C. ROBINSON, Dajiang WANG, Josef STROBL, John P. WILSON, Michael BATTY, Mei-Po KWAN, Maryam LOTFIAN, Francois GOLAY, Stephane JOOST, Jens INGENSAND, Ahmad M. SENOUSI, Cheng TAO, Temenoujka BANDROVA, Milan KONEČNÝ, Paul M TORRENS, Alexander KLIPPEL, Songnian LI, Fengyuan ZHANG, Li HE, Jinfeng WANG, Carlo RATTI, Olaf KOLDITZ, Hui LIN and Guonian LUE. Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges. Earth-Science Reviews. Elsevier, 2023, vol. 241, June, p. 1-10. ISSN 0012-8252. Available from: https://dx.doi.org/10.1016/j.earscirev.2023.104438.

@article{2358575,
   author = {Chen, Min and Claramunt, Christophe and Coltekin, Arzu and Liu, Xintao and Peng, Peng and Robinson, Anthony C. and Wang, Dajiang and Strobl, Josef and Wilson, John P. and Batty, Michael and Kwan, MeiandPo and Lotfian, Maryam and Golay, Francois and Joost, Stephane and Ingensand, Jens and Senousi, Ahmad M. and Tao, Cheng and Bandrova, Temenoujka and Konečný, Milan and Torrens, Paul M and Klippel, Alexander and Li, Songnian and Zhang, Fengyuan and He, Li and Wang, Jinfeng and Ratti, Carlo and Kolditz, Olaf and Lin, Hui and Lue, Guonian},
   article_number = {June},
   doi = {http://dx.doi.org/10.1016/j.earscirev.2023.104438},
   keywords = {Geographical space; Cyberspace; GeoAI; GeoVA},
   language = {eng},
   issn = {0012-8252},
   journal = {Earth-Science Reviews},
   title = {Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges},
   url = {https://doi.org/10.1016/j.earscirev.2023.104438},
   volume = {241},
   year = {2023}
}

TY  - JOUR
ID  - 2358575
AU  - Chen, Min - Claramunt, Christophe - Coltekin, Arzu - Liu, Xintao - Peng, Peng - Robinson, Anthony C. - Wang, Dajiang - Strobl, Josef - Wilson, John P. - Batty, Michael - Kwan, Mei-Po - Lotfian, Maryam - Golay, Francois - Joost, Stephane - Ingensand, Jens - Senousi, Ahmad M. - Tao, Cheng - Bandrova, Temenoujka - Konečný, Milan - Torrens, Paul M - Klippel, Alexander - Li, Songnian - Zhang, Fengyuan - He, Li - Wang, Jinfeng - Ratti, Carlo - Kolditz, Olaf - Lin, Hui - Lue, Guonian
PY  - 2023
TI  - Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges
JF  - Earth-Science Reviews
VL  - 241
IS  - June
SP  - 1-10
EP  - 1-10
PB  - Elsevier
SN  - 00128252
KW  - Geographical space
KW  - Cyberspace
KW  - GeoAI
KW  - GeoVA
UR  - https://doi.org/10.1016/j.earscirev.2023.104438
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.
ER  -

CHEN, Min, Christophe CLARAMUNT, Arzu COLTEKIN, Xintao LIU, Peng PENG, Anthony C. ROBINSON, Dajiang WANG, Josef STROBL, John P. WILSON, Michael BATTY, Mei-Po KWAN, Maryam LOTFIAN, Francois GOLAY, Stephane JOOST, Jens INGENSAND, Ahmad M. SENOUSI, Cheng TAO, Temenoujka BANDROVA, Milan KONEČNÝ, Paul M TORRENS, Alexander KLIPPEL, Songnian LI, Fengyuan ZHANG, Li HE, Jinfeng WANG, Carlo RATTI, Olaf KOLDITZ, Hui LIN and Guonian LUE. Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges. \textit{Earth-Science Reviews}. Elsevier, 2023, vol.~241, June, p.~1-10. ISSN~0012-8252. Available from: https://dx.doi.org/10.1016/j.earscirev.2023.104438.

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