交通和污染模式可视化分析系统PreserVis -引人注目的信息综合多重挑战奖

2017 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2017-10-01 DOI:10.1109/VAST.2017.8585719

Qiao Gu, Hang Yin, Lian Chen, Haotian Li, Chengzhong Liu, X. Yue, Huamin Qu

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引用次数: 0

摘要

在本报告中，我们在VAST挑战赛2017中提出了用于检测Boonsong Lekagul自然保护区运输和污染物释放模式的数据可视化系统PreserVis。使用直观的聚类和新颖的可视化方法来发现隐藏在数据集中的模式。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

In this report, we propose PreserVis, a data visualization system for inspecting the pattern of the transportation and pollutant release in Boonsong Lekagul Nature Preserve in VAST Challenge 2017. Intuitive clustering and novel visualization methods are used to discover the patterns hidden in the datasets.

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2017 IEEE Conference on Visual Analytics Science and Technology (VAST)

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