A Review of Complexity Metrics for Data Visualization

被引：1
作者：
Zhu, Ying [1 ]
机构：
[1] Georgia State Univ, Creat Media Ind Inst, Atlanta, GA 30303 USA
来源：
2023 27TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION, IV | 2023年
关键词：
data visualization; complexity; evaluation; VISUAL COMPLEXITY; DESIGN; SERIES;
D O I：
10.1109/IV60283.2023.00031
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The definition and measurement of complexity have been studied extensively in many scientific fields. But a comprehensive discussion of data visualization complexity is still missing. In this paper, we attempt to address this issue by reviewing the existing complexity metrics for data visualization. The complexity metrics from related fields and their applicability to data visualization are also discussed. The goal is to provide a preliminary theoretical foundation and a set of practical methods for evaluating the complexity of data visualization.
引用
收藏
页码：131 / 135
页数：5
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