Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey
Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey
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DOI：
10.1109/tvcg.2012.110
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发表时间：
2013-03-01
影响因子：
5.2
通讯作者：
Hauser, Helwig
中科院分区：
文献类型：
--
作者：
Kehrer, Johannes;Hauser, Helwig
可视化和可视化分析在探索、分析和呈现科学数据方面发挥着重要作用。在许多学科中，数据和模型情景正在变得多面性：数据往往是时空的和多变量的；它们来自不同的数据源(多模式数据)、来自多个模拟运行(多运行/集合数据)、或来自相互作用现象的多物理模拟(耦合模拟模型产生的多模型数据)。此外，数据可以是不同维度的，也可以在需要在可视化中关联或融合的各种类型的网格上结构化。这种数据特征的异构性为可视化研究带来了新的机遇和技术挑战。因此，可视化和交互技术通常与计算分析相结合。在这次调查中，我们研究了多方面科学数据的可视化和交互可视化分析的现有方法。在对文献进行全面回顾的基础上，提出了方法的分类。我们涵盖了广泛的领域，并讨论了不同挑战在多大程度上与现有的可视化和可视化分析解决方案相匹配。这导致了关于有前景的研究方向的结论，例如，寻求多运行和多模型数据的新解决方案以及支持多种方面的技术。
Visualization and visual analysis play important roles in exploring, analyzing, and presenting scientific data. In many disciplines, data and model scenarios are becoming multifaceted: data are often spatiotemporal and multivariate; they stem from different data sources (multimodal data), from multiple simulation runs (multirun/ensemble data), or from multiphysics simulations of interacting phenomena (multimodel data resulting from coupled simulation models). Also, data can be of different dimensionality or structured on various types of grids that need to be related or fused in the visualization. This heterogeneity of data characteristics presents new opportunities as well as technical challenges for visualization research. Visualization and interaction techniques are thus often combined with computational analysis. In this survey, we study existing methods for visualization and interactive visual analysis of multifaceted scientific data. Based on a thorough literature review, a categorization of approaches is proposed. We cover a wide range of fields and discuss to which degree the different challenges are matched with existing solutions for visualization and visual analysis. This leads to conclusions with respect to promising research directions, for instance, to pursue new solutions for multirun and multimodel data as well as techniques that support a multitude of facets.