Visualization of Traffic Data Using View Fusion Techniques

Abstract

The traditional data visualization technology concentrates on the chart analysis and the summary of calculation analysis, and ignore the spatial distribution characteristics of statistical information. Currently, data visualization technology and its applications suffer from the issues such as low-accurate visualization, limited representation solutions and blurred inherent information. In order to overcome the shortages caused by these problems, we propose a mixed visual analysis scheme combined with geographic information data to better display spatial statistical data. The proposed system combines a variety of visualization techniques, such as geographic maps, bubble chart, and Treemap visualization method to enhance the visual results and ensure that users can observe various data indicators from different angles. In order to further analyze the data of interest, we design and achieve a variety of visualization techniques coordinated with multiple views. The experimental results show that the proposed fusion visualization techniques can help users to discover the regularity of statistical data more easily and offer a fast and convenient visualization tool for statistical data analysis.