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

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

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摘要
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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关键词
[Human-centered computing]-Visual analytics,Information visualization,User interface design,[Information systems]-Spatial-temporal systems
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