AirVis:一个基于Web的空气质量数据可视分析系统

AirVis:Web-based visualization analysis system for air quality data

随着空气污染的日益严重,如何对空气质量数据进行有效的处理和分析已经成为一个重要的问题。使用信息可视化技术对空气质量数据进行分析,设计了一个基于Web的空气质量数据可视分析系统,结合平行坐标、时间序列图、日历图以及GIS地图四种可视化图形,为用户提供了多视图的空气质量数据交互可视分析工具。实验表明,该系统可以较好地完成空气质量数据的高维性与时空性的特征分析,并且可以帮助分析主要污染物的关联特性。

With the increasingly serious air pollution, how to carry out effective methods to handle and analyze air quality data has become an important issue. To analyze the air quality data, this paper uses information visualization techniques to design a Web-based visualization system. It combines time series graphs, parallel coordinates, GIS maps and calendar and provides users with a multi-view interactive vis-ual analysis tool for the air quality data. Experimental results show that the system can complete the analysis of air quality data with high dimensionality and space-time characteristics better. It also has the advantages of analyzing the major pollutants.