Abstract Time-varying volume data is often generated from scientific simulations in a variety of application domains, such as computational fluid dynamics, combustion science, and computational cosmology. Data visualization plays an important role in analyzing the dynamics and evolution of phenomena hidden in the data. Over the last two decades, a substantial amount of visualization techniques have been proposed in this research area. In this paper, we systematically review the recent literature on data visualization and visual analytics for time-varying scalar volume data. We first collect a corpus of relevant technical and application papers in visualization journals and conferences from 2008 to 2019. Based on this corpus, we classify these techniques into three aspects, including feature tracking, evolution visualization, and rendering, and then detaily describe relevant techniques in these three aspects. Finally, we conclude this survey with emerging trends and future challenges in time-varying volume visualization. Graphic abstract

中文翻译：

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时变体积可视化：一项调查

摘要 时变体积数据通常是从各种应用领域的科学模拟中生成的，例如计算流体动力学、燃烧科学和计算宇宙学。数据可视化在分析隐藏在数据中的现象的动态和演变方面起着重要作用。在过去的二十年里，在这个研究领域已经提出了大量的可视化技术。在本文中，我们系统地回顾了有关时变标量体积数据的数据可视化和可视化分析的最新文献。我们首先收集了 2008 年至 2019 年在可视化期刊和会议上的相关技术和应用论文的语料库。基于该语料库，我们将这些技术分为三个方面，包括特征跟踪、进化可视化和渲染，然后详细描述这三个方面的相关技术。最后，我们总结了时变体积可视化的新兴趋势和未来挑战。图形摘要