VISUAL ANALYTICS FOR SIMULATION ENSEMBLES
VISUAL ANALYTICS FOR SIMULATION ENSEMBLES
复制标题
仿真系综的视觉分析
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
H. Hauser
中科院分区：
文献类型：
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作者：
K. Matkovič;D. Gračanin;H. Hauser
我们经常模拟同一模型的多种变化-模拟集成-以更好地理解复杂的物理现象。复杂的仿真集成的分析是一个巨大的挑战，这是接近计算和交互式，可视化的方法。我们描述了现代视觉分析如何帮助分析模拟集成数据。计算和交互方法的巧妙结合支持模拟专家更深入地了解数据和集合所代表的物理现象。结合交互式可视化和计算分析的分析环境为复杂集合数据的探索和分析提供了独特的优势。它可以帮助领域专家有效地科普分析任务，特别是当它们只是部分定义时。在这项工作中，我们描述了交互式视觉分析的基础知识，几种方法来交互式集成转向，以及结果量化和分析再现性的手段。
We often simulate multiple variations of the same model – a simulation ensemble – to better understand intricate physical phenomena. The analysis of complex simulation ensembles represents a grand challenge which is approached by both computational and interactive, visual methods. We describe how modern visual analytics helps to analyze simulation ensemble data. A clever combination of computational and interactive methods supports the simulation expert to gain deeper insight into the data and into the physical phenomenon that is represented by the ensemble. An analysis environment that combines interactive visualization and computational analysis provides unique advantages for the exploration and analysis of complex ensemble data. It helps the domain expert to efficiently cope with analysis tasks, in particular when they are only partially defined. In this work, we describe the basics of interactive visual analysis, several approaches to interactive ensemble steering, and means for results quantification and analysis reproducibility.
DOI：
10.1016/j.cag.2013.09.004
发表时间：
2014-04
期刊：
Comput. Graph.
影响因子：
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作者：
M. Luboschik;Stefan Rybacki;Fiete Haack;Hans-Jörg Schulz
通讯作者：
M. Luboschik;Stefan Rybacki;Fiete Haack;Hans-Jörg Schulz