数据排序的可视化分析研究

Q3 Computer Science

计算机辅助设计与图形学学报 Pub Date : 2021-12-01 DOI:10.3724/sp.j.1089.2021.19264

Zhiguang Zhou, Aosheng Cheng, Shaoxiong Zhu, Guojun Li, Xiaowei Mei

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引用次数: 0

摘要

：排名是一种流行且通用的方法，可以根据项目属性的价值对其进行排序，从而有效地做出明智和知情的决定。本文综述了数据排序可视化分析的相关研究。首先，从视觉元素映射的角度介绍了坐标轴位置、长度、角度、面积和亮度/饱和度等视觉元素的设计和应用。其次，针对不同的排序数据结构形式，综述了多维、时间、空间和拓扑特征的先进技术和方法。此外，还研究了排名视觉分析在人类经济、城市交通、文化、体育和娱乐领域的应用。最后，展望了排名可视化的挑战和未来发展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Survey on the Visual Analytics for Data Ranking

: 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.

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来源期刊

计算机辅助设计与图形学学报 Computer Science-Computer Graphics and Computer-Aided Design

CiteScore

1.20

自引率

0.00%

发文量

6833

期刊介绍：