Zheng Boyan, Sadlo Filip
IEEE Trans Vis Comput Graph. 2021 Feb;27(2):1819-1828. doi: 10.1109/TVCG.2020.3030466. Epub 2021 Jan 28.
In this paper, we introduce uncertainty to continuous scatterplots and continuous parallel coordinates. We derive respective models, validate them with sampling-based brute-force schemes, and present acceleration strategies for their computation. At the same time, we show that our approach lends itself as well for introducing uncertainty into the definition of fibers in bivariate data. Finally, we demonstrate the properties and the utility of our approach using specifically designed synthetic cases and simulated data.
在本文中，我们将不确定性引入连续散点图和连续平行坐标图。我们推导了各自的模型，用基于采样的暴力方法对其进行验证，并提出了计算的加速策略。同时，我们表明我们的方法也适用于将不确定性引入二元数据中纤维的定义。最后，我们使用专门设计的合成案例和模拟数据展示了我们方法的特性和实用性。
