时变宇宙粒子数据的多重不确定性
Multiple Uncertainties in Time-Variant Cosmological Particle Data
摘要：
虽然可视化的媒介是有限的，但数据集的潜在维度却不是。在许多科学研究领域，了解这些维度之间的相关性及其不确定性对于从数据集中挖掘有用信息至关重要。获得这种洞察力可能需要可视化数据的时间，空间和其他维度及其不确定性之间的许多关系。我们利用多个视图进行交互式数据集探索和重要特征的选择，并将这些技术应用于宇宙粒子数据集的独特挑战。我们展示了如何互动和纳入多种可视化技术，帮助克服有限的可视化尺寸的问题，并允许许多类型的不确定性与其他变量的相关性。
英文摘要：
Though the mediums for visualization are limited, the potential dimensions of a dataset are not. In many areas of scientific study, understanding the correlations between those dimensions and their uncertainties is pivotal to mining useful information from a dataset. Obtaining this insight can necessitate visualizing the many relationships among temporal, spatial, and other dimensionalities of data and its uncertainties. We utilize multiple views for interactive dataset exploration and selection of important features, and we apply those techniques to the unique challenges of cosmological particle datasets. We show how interactivity and incorporation of multiple visualization techniques help overcome the problem of limited visualization dimensions and allow many types of uncertainty to be seen in correlation with other variables.
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