A survey of urban visual analytics: Advances and future directions

Developing effective visual analytics systems demands care in characterization of domain problems and integration of visualization techniques and computational models. Urban visual analytics has already achieved remarkable success in tackling urban problems and providing fundamental services for sma...

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Bibliographic Details
Published inComputational visual media (Beijing) Vol. 9; no. 1; pp. 3 - 39
Main Authors Deng, Zikun, Weng, Di, Liu, Shuhan, Tian, Yuan, Xu, Mingliang, Wu, Yingcai
Format Journal Article
LanguageEnglish
Published Beijing Tsinghua University Press 01.03.2023
Springer Nature B.V
SpringerOpen
Subjects
Air pollution
Artificial Intelligence
Computer Graphics
Computer Science
Domains
Image Processing and Computer Vision
Interdisciplinary aspects
Mathematical analysis
Mobility
Review
Review Article
smart city
spatiotemporal data analysis
System effectiveness
Systems analysis
Traffic congestion
urban analytics
User Interfaces and Human Computer Interaction
visual analytics
Visualization
visual analytics
spatiotemporal data analysis
urban analytics
smart city
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Summary:Developing effective visual analytics systems demands care in characterization of domain problems and integration of visualization techniques and computational models. Urban visual analytics has already achieved remarkable success in tackling urban problems and providing fundamental services for smart cities. To promote further academic research and assist the development of industrial urban analytics systems, we comprehensively review urban visual analytics studies from four perspectives. In particular, we identify 8 urban domains and 22 types of popular visualization, analyze 7 types of computational method, and categorize existing systems into 4 types based on their integration of visualization techniques and computational models. We conclude with potential research directions and opportunities.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2096-0433
2096-0662
2096-0662
DOI:10.1007/s41095-022-0275-7