Comparative Visual Analysis of 2D Function Ensembles
Comparative Visual Analysis of 2D Function Ensembles
复制标题
二维函数系综的比较视觉分析
DOI：
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发表时间：
2012
期刊：
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通讯作者：
H. Teichmann
中科院分区：
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作者：
H. Piringer;Stephan Pajer;Wolfgang Berger;H. Teichmann
在动力总成系统的开发过程中，2D功能集成经常出现在多次运行仿真的背景下。分析有许多方面，包括提取特征的分布，集合成员和目标函数之间的比较，以及按需提供的细节。本文的主要贡献是设计研究的一个互动的方法比较视觉分析的二维功能合奏。该设计侧重于面向领域和面向成员的可视化技术的紧密集成，并试图在多个细节层次上保留2D功能的心理模型。在这种情况下，我们提出了一种新的焦点+上下文方法，用于依赖于基于标签的数据驱动放置的可视化。我们还扩展了2D函数的特征保持下采样的工作。我们的设计支持基于并置、叠加和显式差异的2D功能比较。它还可以根据提取的标量特征和1D聚合进行分析。评估说明了应用程序上下文中的工作流。用户反馈表明，对于常见的任务，节省了70%的时间，并且在整个开发过程中获得了质的提升。
In the development process of powertrain systems, 2D function ensembles frequently occur in the context of multi‐run simulations. An analysis has many facets, including distributions of extracted features, comparisons between ensemble members and target functions, and details‐on‐demand. The primary contribution of this paper is a design study of an interactive approach for a comparative visual analysis of 2D function ensembles. The design focuses on a tight integration of domain‐oriented and member‐oriented visualization techniques, and it seeks to preserve the mental model of 2D functions on multiple levels of detail. In this context, we propose a novel focus+context approach for visualizations relying on data‐driven placement which is based on labeling. We also extend work on feature‐preserving downsampling of 2D functions. Our design supports a comparison of 2D functions based on juxtaposition, overlay, and explicit differences. It also enables an analysis in terms of extracted scalar features and 1D aggregations. An evaluation illustrates a workflow in our application context. User feedback indicates a time saving of 70% for common tasks and a qualitative gain for the entire development process.