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

Publikation: Beitrag in FachzeitschriftÜbersichtsartikel (Review)BeigetragenBegutachtung

Beitragende

  • Min Chen - , Nanjing Normal University (Autor:in)
  • Christophe Claramunt - , Naval Academy Research Institute (Autor:in)
  • Arzu Çöltekin - , Fachhochschule Nordwestschweiz (Autor:in)
  • Xintao Liu - , Hong Kong Polytechnic University (Autor:in)
  • Peng Peng - , CAS - Institute of Geographical Sciences and Natural Resources Research (Autor:in)
  • Anthony C. Robinson - , Pennsylvania State University (Autor:in)
  • Dajiang Wang - , Nanjing Normal University (Autor:in)
  • Josef Strobl - , Nanjing Normal University, Paris Lodron Universität Salzburg (Autor:in)
  • John P. Wilson - , University of Southern California (Autor:in)
  • Michael Batty - , University College London (Autor:in)
  • Mei Po Kwan - , Chinese University of Hong Kong (Autor:in)
  • Maryam Lotfian - , Haute Ecole Spécialisée de Suisse occidentale (Autor:in)
  • François Golay - , École Polytechnique Fédérale de Lausanne (Autor:in)
  • Stéphane Joost - , École Polytechnique Fédérale de Lausanne (Autor:in)
  • Jens Ingensand - , Haute Ecole Spécialisée de Suisse occidentale (Autor:in)
  • Ahmad M. Senousi - , Cairo University (Autor:in)
  • Tao Cheng - , University College London (Autor:in)
  • Temenoujka Bandrova - , University of Architecture Sofia (Autor:in)
  • Milan Konecny - , Masaryk University (Autor:in)
  • Paul M. Torrens - , New York University (Autor:in)
  • Alexander Klippel - , Wageningen University & Research (WUR) (Autor:in)
  • Songnian Li - , Ryerson University (Autor:in)
  • Fengyuan Zhang - , Hong Kong Polytechnic University (Autor:in)
  • Li He - , Xi'an Jiaotong University (Autor:in)
  • Jinfeng Wang - , CAS - Institute of Geographical Sciences and Natural Resources Research, Nanjing Normal University, University of Chinese Academy of Sciences (Autor:in)
  • Carlo Ratti - , Massachusetts Institute of Technology (MIT) (Autor:in)
  • Olaf Kolditz - , Helmholtz-Zentrum für Umweltforschung (UFZ) (Autor:in)
  • Hui Lin - , Jiangxi Normal University (Autor:in)
  • Guonian Lü - , Nanjing Normal University (Autor:in)

Abstract

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.

Details

OriginalspracheEnglisch
Aufsatznummer104438
FachzeitschriftEarth-science reviews
Jahrgang241
PublikationsstatusVeröffentlicht - Juni 2023
Peer-Review-StatusJa
Extern publiziertJa

Schlagworte

Schlagwörter

  • Cyberspace, GeoAI, Geographical space, GeoVA, GIScience