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Vis Inf  2017, Vol. 1 Issue (2): 81-91    DOI: 10.1016/j.visinf.2017.11.002
论文     
探讨沉浸式城市的可视化分析设计空间
Exploring the design space of immersive urban analytics
Zhutian Chenaa,b, Yifang Wangbb, Tianchen Sunbb, Xiang Gaoc, Wei Chenb, Zhigeng Panc Huamin Qua, Yingcai Wub
aHong Kong University of Science and Technology, Hong Kong bThe State Key Lab of CAD & CG, Zhejiang University, China cHangzhou Normal University, China
 全文: PDF 
摘要: 背景:近年来,沉浸式头盔装置发展迅速并被广泛应用,代表性的产品有HTC VIVE、Oculus Rift和Microsoft hololens等。这些沉浸式头盔由于提供了关键的3D城市背景信息和身临其境感可显著提升城市可视分析的潜力。


贡献: 本文提出了一种沉浸式城市可视化分析的理论模型。基于这一模型,通过区分链接视图、嵌入视图和混合视图, 提供了一种对2D和3D可视化不同组合进行分类的方法。我们还权衡了二维和三维可视化的视图几何和空间分布,为用户在特定情况下选择合适的视图提供了指南。


关键词: 沉浸式城市分析虚拟/增强/混合现实城市可视化信息可视化可视化理论    
Abstract:
Recent years have witnessed the rapid development and wide adoption of immersive head-mounted devices, such as HTC VIVE, Oculus Rift, and Microsoft HoloLens. These immersive devices have the potential to significantly extend the methodology of urban visual analytics by providing critical 3D context information and creating a sense of presence. In this paper, we propose a theoretical model to characterize the visualizations in immersive urban analytics. Furthermore, based on our comprehensive and concise model, we contribute a typology of combination methods of 2D and 3D visualizations that distinguishes between  linked views, embedded views, and   mixed views. We also propose a supporting guideline to assist users in selecting a proper view under certain circumstances by considering   visual geometry >  and   spatial distribution   of the 2D and 3D visualizations. Finally, based on existing work, possible future research opportunities are explored and discussed.
Key words: Immersive urban analytics    Virtual/Augmented/Mixed reality    Urban visualizations    Information visualizations    Visualization theory
出版日期: 2017-12-21
基金资助:
The work was supported by National 973 Program of China (2015CB352503), National Natural Science Foundation of China (61772456, U1609217), NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization (U1609217), NSFC (61502416),  Zhejiang Provincial Natural Science Foundation (LR18F020001), the Fundamental Research Funds for Central Universities (2016QNA5014), the research fund of the Ministry of Education of China (188170-170160502) and the 100 Talents Program of Zhejiang University. This project is also partially funded by Microsoft Research Asia .
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Zhutian Chen
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引用本文:

Zhutian Chen, Yifang Wang, Tianchen Sun, Xiang Gao, Wei Chen, Zhigeng Pan, Huamin Qu, Yingcai Wu. Exploring the design space of immersive urban analytics. Vis Inf, 2017, 1(2): 81-91.

链接本文:

http://www.zjujournals.com/vi/CN/10.1016/j.visinf.2017.11.002        http://www.zjujournals.com/vi/CN/Y2017/V1/I2/81

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