SunMap:一种基于热图和放射环的关联层次数据可视化方法  

SunMap: an Associated Hierarchical Data Visualization Method Based on Heatmap and Sunburst

作　　者：陈谊[1] 林晓蕾[1] 赵云芳[1] 孙悦红[1] 张珣[1] 

机构地区：[1]北京工商大学计算机与信息工程学院食品安全大数据技术北京市重点实验室,北京100048

出　　处：《计算机辅助设计与图形学学报》2016年第7期1075-1083,共9页Journal of Computer-Aided Design & Computer Graphics

基　　金："十二五"国家科技支撑计划项目(2012BAD29B01-2);国家科技基础性工作专项(2015FY111200);虚拟现实技术与系统国家重点实验室开放基金(BUAA-VR-14KF-04)

摘　　要：针对食品安全等领域对数据空间分布和关联关系分析的需求,提出一种基于热图和放射环的关联层次数据可视化方法——Sun Map(Sunburst+Map).利用基于地理信息的热力型数据地图展示数据的地域分布,用基于节点排序的放射环可视化具有层次结构的数据,将热图置于放射环内,并用直线表示热图节点与放射环节点之间的关联;为减少视觉混乱,提出一种基于Bézier曲线的路径优化算法,通过设置过渡点,用三次Bézier曲线取代直线优化边;加入矩阵热图展示数据细节;采用数据选择、Sun Map和矩阵热图多视图联动等交互手段实现对关联层次数据的可视分析.将Sun Map应用于可视化全国农药残留侦测数据,通过用户研究对该方法进行评价.实验结果表明,该方法能有效地帮助用户快速找到目标信息,探寻隐含在数据之间的关联;它还可用于经济、金融、社会网络等领域的关联层次数据可视分析.In order to satisfy the requirements of analyzing geographical distribution and relationships of data sets in food safety field, we proposed an associated hierarchical data visualization method named Sun Map, which is based on Sunburst and Heatmap. Firstly, a Heatmap based on geographical information is created to present geographical distribution of the dataset, and a sunburst is created to present the hierarchical structure of the dataset. Secondly, put the Heatmap into the center of sunburst, and use the lines connecting nodes between Heatmap and sunburst to present the relationships between them. Thirdly, execute the route optimization algorithm which introduces transiton points and uses Cubic Bézier curve instead of straight lines to represent the relationships to reduce visual clutter. Finally, a Matrix-Heatmap view, which is composed of an adjacent matrix and two bar charts, is used to represent the detail of the dataset. Multi-view linkage of data selection, Sun Map, Matrix-Heatmap and some other interactions help users analyze the associated hierarchical data. We applied this methods to the pesticide residues detection data and the result of user studies demonstrates that this visual design is effective in helping users to find object information and relationships among complex hierarchical data. The method can also be used in other fields of associated hierarchical data like economic, financial and social networks.

关 键 词：信息可视化 SunMap 地理信息 放射环 关联分析 农药残留数据 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]