Visual Analysis System for Fine-Grained Inline Relationship of Air Quality Data
Tian Dong, Guan Li, Shiyu Cheng, Lei Kong, Xiao Tang, Qing Xun Zhao, Yang Gao, Guihua Shan, Xuebin Chi · Journal of Computer-Aided Design & Computer Graphics · 2021
With the rapid development of data observation and digital computing technology, the granularity of air quality data tends to be fine, which provides a data basis for visualizing data of air quality and understanding the transformation law of air pollutants. This paper proposes a visual analysis system for inline features of fine-grained air quality data. We design a spatial-temporal data dimensional model to enhance the spatial-temporal expression of the data. We propose a deep learning based scheme that embeds high-dimensional air quality data into a low-dimensional feature space, which supports interactive visual analysis. We implement a multi-view linkage visualization system which assists discover the fine-grained inline relationship in the spread of air pollution and understand the data distribution characteristics of pollution transmission routes. User cases and user evaluation results show that our system is effective.