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A survey of urban visual analytics: Advances and future directions
by
Weng, Di
, Wu, Yingcai
, Liu, Shuhan
, Tian, Yuan
, Deng, Zikun
, Xu, Mingliang
in
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
2023
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A survey of urban visual analytics: Advances and future directions
by
Weng, Di
, Wu, Yingcai
, Liu, Shuhan
, Tian, Yuan
, Deng, Zikun
, Xu, Mingliang
in
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
2023
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Do you wish to request the book?
A survey of urban visual analytics: Advances and future directions
by
Weng, Di
, Wu, Yingcai
, Liu, Shuhan
, Tian, Yuan
, Deng, Zikun
, Xu, Mingliang
in
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
2023
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A survey of urban visual analytics: Advances and future directions
Journal Article
A survey of urban visual analytics: Advances and future directions
2023
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Overview
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.
Publisher
Tsinghua University Press,Springer Nature B.V,SpringerOpen
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