Theoretical foundations of Information Visualization

被引：0

作者：

Purchase, Helen C. ^{[1
]}

Andrienko, Natalia ^{[2
]}

Jankun-Kelly, T. J. ^{[3
]}

Ward, Matthew ^{[4
]}

机构：

[1] Univ Glasgow, Dept Comp Sci, 17 Lilybank Gardens, Glasgow G12 8QQ, Lanark, Scotland

[2] Fraunho Inst Intelligent Analysis & Informat Syst, Schloss Birlinghoven, D-53754 St Augustin, Germany

[3] Mississippi State Univ, Bagley Coll Engn, Dept Comp Sci Engn, Mississippi State, MS 39762 USA

[4] Worcester Polytech Inst, Dept Comp Sci, Worcester, MA 01609 USA

来源：

INFORMATION VISUALIZATION: HUMAN-CENTERED ISSUES AND PERSPECTIVES | 2008年 / 4950卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The field of Information Visualization, being related to many other diverse disciplines (for example, engineering, graphics, statistical modeling) suffers from not being based on a clear underlying theory. The absence of a framework for Information Visualization makes the significance of achievements in this area difficult to describe, validate and defend. Drawing on theories within associated disciplines, three different approaches to theoretical foundations of Information Visualization are presented here: data-centric predictive theory, information theory, and scientific modeling. Definitions from linguistic theory are used to provide an over-arching framework for these three approaches.

引用

页码：46 / +

页数：4

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