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.

Základní údaje

Originální název

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

Autoři

Vydání

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

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10500 1.5. Earth and related environmental sciences

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 12.100 v roce 2022

Kód RIV

RIV/00216224:14310/23:00132885

Organizační jednotka

Přírodovědecká fakulta

DOI

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

UT WoS

001000187200001

Klíčová slova anglicky

Geographical space; Cyberspace; GeoAI; GeoVA

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 9. 1. 2024 13:22, Mgr. Marie Šípková, DiS.

Anotace

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 a Guonian LUE. Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges. Earth-Science Reviews. Elsevier, 2023, roč. 241, June, s. 1-10. ISSN 0012-8252. Dostupné z: 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 a Guonian LUE. Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges. \textit{Earth-Science Reviews}. Elsevier, 2023, roč.~241, June, s.~1-10. ISSN~0012-8252. Dostupné z: https://dx.doi.org/10.1016/j.earscirev.2023.104438.

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