WindNebula:环境评估的矢量时间分析:VAST挑战MC2奖:美学设计的多重挑战奖

2017 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2017-10-01 DOI:10.1109/VAST.2017.8585631

Hui Tang, Wenjie Wu, Zheng Zhou, Sijin Wang, Aijun Huang, Y. Niu, Victor Y. Chen, Cheryl Z. Qian

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引用次数: 0

摘要

WindNebula将传感器数据和气象数据两个数据集结合起来，将风向和传感器读数结合起来，揭示工厂和传感器位置、污染强度、风向和传感器问题之间的隐含关系。矢量视图和时间视图这两种主要视图混合了来自IEEE VAST 2017 Mini Challenge 2数据集的不同变量的关键信息。本文介绍了WindNebula系统的组成，展示了两个视图的组成部分，并讨论了使用该系统获得数据集洞察力的好处。

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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WindNebula: Vectorial-Temporal Analysis for Environmental Assessment : VAST Challenge MC2 Award: Multi-challenge Award for Aesthetic Design

WindNebula joins two datasets, sensor data and meteorological data, to combine wind directions with sensor readings to reveal implicit relations among locations of factories and sensors, pollution intensity, wind direction, and sensor problems. The two major views, vectorial view and temporal view, blend key information of different variables from the IEEE VAST 2017 Mini Challenge 2 dataset. This paper introduces the composition of the WindNebula system, exhibits the components of both views, and discusses the benefits of using this system to gain insights of the dataset.

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

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