Suppr超能文献

可视化探索的模型与框架。

A model and framework for visualization exploration.

作者信息

Jankun-Kelly T J, Ma Kwan-Liu, Gertz Michael

机构信息

Department of Computer Science and Engineering, James Worth Bagley College of Engineering, Mississippi State University, Mississippi, MS 39762, USA.

出版信息

IEEE Trans Vis Comput Graph. 2007 Mar-Apr;13(2):357-69. doi: 10.1109/TVCG.2007.28.

Abstract

Visualization exploration is the process of extracting insight from data via interaction with visual depictions of that data. Visualization exploration is more than presentation; the interaction with both the data and its depiction is as important as the data and depiction itself. Significant visualization research has focused on the generation of visualizations (the depiction); less effort has focused on the exploratory aspects of visualization (the process). However, without formal models of the process, visualization exploration sessions cannot be fully utilized to assist users and system designers. Toward this end, we introduce the P-Set Model of Visualization Exploration for describing this process and a framework to encapsulate, share, and analyze visual explorations. In addition, systems utilizing the model and framework are more efficient as redundant exploration is avoided. Several examples drawn from visualization applications demonstrate these benefits. Taken together, the model and framework provide an effective means to exploit the information within the visual exploration process.

摘要

可视化探索是通过与数据的可视化表示进行交互从数据中提取见解的过程。可视化探索不仅仅是呈现;与数据及其表示的交互与数据和表示本身同样重要。重要的可视化研究主要集中在可视化的生成(表示)上;而对可视化的探索方面(过程)关注较少。然而,没有该过程的形式化模型,可视化探索会话就无法得到充分利用以帮助用户和系统设计师。为此,我们引入可视化探索的P集模型来描述这一过程,并引入一个框架来封装、共享和分析可视化探索。此外,利用该模型和框架的系统效率更高,因为避免了冗余探索。从可视化应用中选取的几个示例展示了这些益处。总体而言,该模型和框架提供了一种有效手段来利用可视化探索过程中的信息。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验