论文标题
将视图组成代数扩展到层次数据
Extending the View Composition Algebra to Hierarchical Data
论文作者
论文摘要
比较是视觉分析中的核心任务。尽管有许多指南可以帮助用户设计有效的可视化来帮助已知的比较任务，但很少有形式主义以一种可以作为比较互动语法的基础来定义比较操作的语义。最近的工作提出了一种形式主义，称为“视图组成代数（VCA）”，该形式性可以在可视化界面中任何标记，趋势或图表的组合之间进行临时比较。但是，VCA将比较具有相同模式的数据的视觉表示形式，或者模式形成严格的子集关系（例如，将每个州的价格与价格进行比较，但不是每个县的价格）。相比之下，大多数现实世界数据 - 时间，地理，组织 - 是分层的。 为了弥合这一差距，本文提出了VCA（称为VCAH）的扩展，该扩展可以在层次数据的可视化数据之间进行临时比较。 VCAH利用已知的层次关系来实现不同层次粒度的数据的临时比较。我们说明了对层次和图表可视化的应用。
Comparison is a core task in visual analysis. Although there are numerous guidelines to help users design effective visualizations to aid known comparison tasks, there are few formalisms that define the semantics of comparison operations in a way that can serve as the basis for a grammar of comparison interactions. Recent work proposed a formalism called View Composition Algebra (VCA) that enables ad hoc comparisons between any combination of marks, trends, or charts in a visualization interface. However, VCA limits comparisons to visual representations of data that have an identical schema, or where the schemas form a strict subset relationship (e.g., comparing price per state with price, but not with price per county). In contrast, the majority of real-world data - temporal, geographical, organizational - are hierarchical. To bridge this gap, this paper presents an extension to VCA (called VCAH) that enables ad hoc comparisons between visualizations of hierarchical data. VCAH leverages known hierarchical relationships to enable ad hoc comparison of data at different hierarchical granularities. We illustrate applications to hierarchical and Tableau visualizations.
