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Visual Analysis of Multi-Run Spatio-Temporal Simulations Using Isocontour Similarity for Projected Views

机译:对投影视图使用等值线相似度的多次运行时空模拟的可视化分析

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Multi-run simulations are widely used to investigate how simulated processes evolve depending on varying initial conditions. Frequently, such simulations model the change of spatial phenomena over time. Isocontours have proven to be effective for the visual representation and analysis of 2D and 3D spatial scalar fields. We propose a novel visualization approach for multi-run simulation data based on isocontours. By introducing a distance function for isocontours, we generate a distance matrix used for a multidimensional scaling projection. Multiple simulation runs are represented by polylines in the projected view displaying change over time. We propose a fast calculation of isocontour differences based on a quasi-Monte Carlo approach. For interactive visual analysis, we support filtering and selection mechanisms on the multi-run plot and on linked views to physical space visualizations. Our approach can be effectively used for the visual representation of ensembles, for pattern and outlier detection, for the investigation of the influence of simulation parameters, and for a detailed analysis of the features detected. The proposed method is applicable to data of any spatial dimensionality and any spatial representation (gridded or unstructured). We validate our approach by performing a user study on synthetic data and applying it to different types of multi-run spatio-temporal simulation data.
机译:多次运行模拟被广泛用于研究模拟过程如何根据变化的初始条件而演变。通常,此类模拟对空间现象随时间的变化进行建模。等值线已被证明对于2D和3D空间标量场的可视表示和分析有效。我们提出了一种新的可视化方法,用于基于等值线的多次运行模拟数据。通过为等高线引入距离函数,我们生成了用于多维缩放投影的距离矩阵。多个仿真运行在投影视图中由折线表示,显示随时间的变化。我们提出了一种基于准蒙特卡洛方法的等高线轮廓差的快速计算方法。对于交互式视觉分析,我们支持在多次运行图上以及到物理空间可视化的链接视图上的过滤和选择机制。我们的方法可以有效地用于整体的视觉表示,模式和离群值检测,调查模拟参数的影响以及对检测到的特征进行详细分析。所提出的方法适用于任何空间维数和任何空间表示(网格或非结构化)的数据。我们通过对合成数据进行用户研究并将其应用于不同类型的多轮运行时空模拟数据来验证我们的方法。

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