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Frontier of Information Visualization and Visual Analytics in 2016

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Abstract

Visualization has evolved into a flourishing research field in recent 30 years. There are substantial visualization methodologies and applications published every year. Most of literature surveys focus on reviewing the state-of-art techniques in a certain direction in-depth. In this work, we conduct a cross-section survey by taking all the latest literatures as a whole, to obtain insights into the ecology of Information Visualization and Visual Analytics field in 2016. Center around 70-related publications in the IEEE VIS, we perform a mixed quantitative and qualitative analysis to report the current research progress, including statistical overview as well as detailed research topics.

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Acknowledgements

The authors wish to thank the anonymous reviewers for their valuable comments. This work is supported by NSFC No. 61672055. This work is also partially supported by NSFC Key Project No. 61232012 and the National Program on Key Basic Research Project (973 Program) No. 2015CB352503. This work is also funded by PKU-Qihoo Joint Data Visual Analytics Research Center.

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  1. Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University, Beijing, China

    Min Lu, Siming Chen, Chufan Lai, Lijing Lin & Xiaoru Yuan

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  1. Min Lu
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  2. Siming Chen
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  3. Chufan Lai
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Correspondence to Xiaoru Yuan.

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Lu, M., Chen, S., Lai, C. et al. Frontier of Information Visualization and Visual Analytics in 2016. J Vis 20, 667–686 (2017). https://doi.org/10.1007/s12650-017-0431-9

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