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Visual analysis of dynamic data streams

机译：可视化分析动态数据流

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摘要

For scientific data visualizations, real-time data streams present many interesting challenges when compared to static data. Real-time data are dynamic, transient, high-volume and temporal. Effective visualizations need to be able to accommodate dynamic data behavior as well as abstract and present the data in ways that make sense to and are usable by humans. The Visual Content Analysis of Real-Time Data Streams project at the Pacific Northwest National Laboratory is researching and prototyping dynamic visualization techniques and tools to help facilitate human understanding and comprehension of high-volume, real-time data. The general strategy of the project is to develop and evolve visual contexts that will organize and orient high-volume dynamic data in conceptual and perceptive views. The goal is to allow users to quickly grasp dynamic data in forms that are intuitive and natural without requiring intensive training in the use of specific visualization or analysis tools and methods. Thus far, the project has prototyped five different visualization prototypes that represent and convey dynamic data through human-recognizable contexts and paradigms such as hierarchies, relationships, time and geography. We describe the design considerations and unique features of these dynamic visualization prototypes as well as our findings in the exploration and evaluation of their use.
机译：对于科学数据可视化，与静态数据相比，实时数据流提出了许多有趣的挑战。实时数据是动态的，瞬态的，大量的和临时的。有效的可视化需要能够适应动态数据行为，并能够以对人类有意义并可由人类使用的方式进行抽象和呈现。太平洋西北国家实验室的“实时数据流的可视内容分析”项目正在研究和制作动态可视化技术和工具的原型，以帮助人们理解和理解大量实时数据。该项目的总体策略是开发和发展视觉环境，以概念和感知的角度组织和定向大量动态数据。目的是允许用户以直观自然的形式快速掌握动态数据，而无需使用特定的可视化或分析工具和方法进行深入培训。到目前为止，该项目已建立了五种不同的可视化原型的原型，这些原型通过人类可识别的上下文和范例（例如层次结构，关系，时间和地理位置）来表示和传达动态数据。我们描述了这些动态可视化原型的设计考虑因素和独特功能，以及我们在探索和评估其用途时的发现。

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  • 来源
    《Information visualization》 |2009年第3期|212-229|共18页
  • 作者

    George Chin Jr.; Mudita Singhal; Grant Nakamura; Vidhya Gurumoorthi; Natalie Freeman-Cadoret;

  • 作者单位

    Computational Sciences and Mathematics, Pacific Northwest National Laboratory, P.O. Box 999, MSIN: K7-90, Richland, WA 99352, USA;

    Computational Sciences and Mathematics, Pacific Northwest National Laboratory, P.O. Box 999, MSIN: K7-90, Richland, WA 99352, USA;

    Computational Sciences and Mathematics, Pacific Northwest National Laboratory, P.O. Box 999, MSIN: K7-90, Richland, WA 99352, USA;

    Computational Sciences and Mathematics, Pacific Northwest National Laboratory, P.O. Box 999, MSIN: K7-90, Richland, WA 99352, USA;

    Computational Sciences and Mathematics, Pacific Northwest National Laboratory, P.O. Box 999, MSIN: K7-90, Richland, WA 99352, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    scientific visualization; dynamic visualization; dynamic data; real-time data streams; visual contexts;

    机译：科学的可视化;动态可视化;动态数据;实时数据流;视觉环境;

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