Survey on Visualization and Visual Analytics pipeline-based models: Conceptual aspects, comparative studies and challenges

被引:7
作者
Ltifi, Hela [1 ,2 ]
Kolski, Christophe [3 ]
Ben Ayed, Mounir [1 ,4 ]
机构
[1] Univ Sfax, Natl Engn Sch Sfax, REGIM Lab, Res Grp Intelligent Machines,LR11ES48, Sfax 3038, Tunisia
[2] Univ Kairouan, Fac Sci & Tech Sidi Bouzid, Comp Sci & Math Dept, Kairouan, Tunisia
[3] Univ Polytech Hauts De France, CNRS, UMR 8201, LAMIH, Valenciennes, France
[4] Fac Sci Sfax, Comp Sci & Commun Dept, Route Sokra Km 3-5,BP 1171, Sfax 3000, Tunisia
关键词
Information Visualization; Visual Analytics; Model; Pipeline; Survey; OF-THE-ART; INFORMATION VISUALIZATION; BIG DATA; FRAMEWORK; UNCERTAINTY; DESIGN; SCALE;
D O I
10.1016/j.cosrev.2020.100245
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the last decade, many studies have focused on visualization. The main key to make it practical for research and engineering applications is the suitable definition of a pipeline-based visualization model. It provides effective abstractions for designing visualization tools. In this article, we present a comprehensive survey on pipeline-based models for Information Visualization. The basic principles of visualization models and processes are reviewed in literature as proposed in the original versions and their different revisions. Their significant extensions are grouped into two main categories: Information Visualization process and Visual Analytics process. We propose three summaries: The first one focuses on the conceptual aspects; the second one compares existing studies, and the third one discusses the challenges and opportunities for future research in the field of visualization. (c) 2020 Elsevier Inc. All rights reserved.
引用
收藏
页数:15
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