PreserVis, a Visual Analytic System for Traffic and Pollution Patterns - Multi-Challenge Award for Compelling Synthesis of Information

Qiao Gu, Hang Yin, Lian Chen, Haotian Li, Chengzhong Liu, Xuanwu Yue, Huamin Qu. PreserVis, a Visual Analytic System for Traffic and Pollution Patterns - Multi-Challenge Award for Compelling Synthesis of Information. In Brian Fisher, Shixia Liu, Tobias Schreck, editors, 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017, Phoenix, AZ, USA, October 3-6, 2017. pages 183-184, IEEE Computer Society, 2017. [doi]

@inproceedings{GuYCLLYQ17,
  title = {PreserVis, a Visual Analytic System for Traffic and Pollution Patterns - Multi-Challenge Award for Compelling Synthesis of Information},
  author = {Qiao Gu and Hang Yin and Lian Chen and Haotian Li and Chengzhong Liu and Xuanwu Yue and Huamin Qu},
  year = {2017},
  doi = {10.1109/VAST.2017.8585719},
  url = {https://doi.org/10.1109/VAST.2017.8585719},
  researchr = {https://researchr.org/publication/GuYCLLYQ17},
  cites = {0},
  citedby = {0},
  pages = {183-184},
  booktitle = {2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017, Phoenix, AZ, USA, October 3-6, 2017},
  editor = {Brian Fisher and Shixia Liu and Tobias Schreck},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5386-3163-8},
}