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首页> 外文期刊>IEEE transactions on visualization and computer graphics >Visualization and Visual Analysis of Ensemble Data: A Survey
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Visualization and Visual Analysis of Ensemble Data: A Survey

机译：集合数据的可视化和视觉分析：一项调查

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摘要

Over the last decade, ensemble visualization has witnessed a significant development due to the wide availability of ensemble data, and the increasing visualization needs from a variety of disciplines. From the data analysis point of view, it can be observed that many ensemble visualization works focus on the same facet of ensemble data, use similar data aggregation or uncertainty modeling methods. However, the lack of reflections on those essential commonalities and a systematic overview of those works prevents visualization researchers from effectively identifying new or unsolved problems and planning for further developments. In this paper, we take a holistic perspective and provide a survey of ensemble visualization. Specifically, we study ensemble visualization works in the recent decade, and categorize them from two perspectives: (1) their proposed visualization techniques; and (2) their involved analytic tasks. For the first perspective, we focus on elaborating how conventional visualization techniques (e.g., surface, volume visualization techniques) have been adapted to ensemble data; for the second perspective, we emphasize how analytic tasks (e.g., comparison, clustering) have been performed differently for ensemble data. From the study of ensemble visualization literature, we have also identified several research trends, as well as some future research opportunities.
机译：在过去的十年中，由于集成数据的广泛可用性以及各种学科对可视化需求的增长，集成可视化取得了长足的发展。从数据分析的角度来看，可以发现许多集成可视化作品都集中在集成数据的同一方面，使用类似的数据聚合或不确定性建模方法。但是，由于缺乏对这些基本共性的反思和对这些作品的系统概述，使可视化研究人员无法有效地识别新问题或未解决的问题，并无法计划进一步的开发。在本文中，我们从整体的角度出发，并对整体可视化进行了概述。具体来说，我们研究近十年的整体可视化作品，并从两个角度对其进行分类：（1）他们提出的可视化技术； （2）涉及的分析任务。对于第一个观点，我们专注于阐述如何将常规的可视化技术（例如，表面，体积可视化技术）应用于集合数据；对于第二个观点，我们强调如何对整体数据执行不同的分析任务（例如比较，聚类）。通过对整体可视化文献的研究，我们还确定了几种研究趋势，以及一些未来的研究机会。

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