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Review Article | Open Access

A survey of urban visual analytics: Advances and future directions

State Key Lab of CAD & CG, Zhejiang University, Hangzhou310058, China
Microsoft Research Asia, Beijing 100080, China
School of Information Engineering, Zhengzhou University, Zhengzhou, China
Henan Institute of Advanced Technology, Zhengzhou University, Zhengzhou 450001, China
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Graphical Abstract

Abstract

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.

Keywords

visual analyticssmart cityspatiotemporal data analysisurban analytics

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Computational Visual Media
Volume 9 Issue 1,
March 2023
Pages 3-39
DOI: 10.1007/s41095-022-0275-7
Cite this article:
Deng Z, Weng D, Liu S, et al. A survey of urban visual analytics: Advances and future directions. Computational Visual Media, 2023, 9(1): 3-39. https://doi.org/10.1007/s41095-022-0275-7

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Received: 10 December 2021
Accepted: 08 February 2022
Published: 18 October 2022
© The Author(s) 2022.

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