面向数据排名的可视分析方法综述

A Survey on the Visual Analytics for Data Ranking

根据属性关键字的大小对数据对象进行排名,能够帮助用户快速而精准地判断和决策.文中对面向数据排名的可视分析进行综述.首先从映射表示大小关系的视觉元素出发,介绍坐标轴位置、长度、角度、面积和亮度/饱和度等视觉元素在排名可视化过程中的设计与应用;然后从数据结构形式出发,介绍多维、时序、空间和拓扑等面向数据排名的可视分析方法;再概述面向数据排名的可视分析技术在经济金融、城市交通和文体传媒等领域的应用研究;最后总结面向数据排名的可视分析面临的挑战,并对未来工作进行了展望.

Ranking is a popular and universal approach to sort items based on the value of its attributes,which can make judicious and informed decisions effectively.This paper reviews the related research on the visual analysis for data ranking.Firstly,the design and application of visual elements such as coordinate axis location,length,angle,area and brightness/saturation from the perspective of visual element mapping is introduced.Secondly,with different structural forms of data for ranking,an overview of the advanced technologies and methods with respect to multidimensional,temporal,spatial and topological features is proposed.Furthermore,applications of ranking visual analysis in the human economy,urban traffic,culture,sports and entertainment are investigated.Finally,the challenges and future developments of ranking visualization are prospected.