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相关概念视频

Time-Series Graph00:54

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A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
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QVis:基于查询的多尺度模式的视觉分析在时空集团的空间.

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    此摘要是机器生成的。

    这项研究引入了一种新的视觉分析方法,用于探索大型数据集中的动态模式. 它可以实现多尺度,多模式查询,使复杂的数据分析更加直观和有效.

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    科学领域:

    • 流体动力学 流体动力学
    • 数据可视化数据可视化
    • 科学计算是科学计算.

    背景情况:

    • 在时空集合中分析动态模式对科学领域来说至关重要.
    • 流体动力学的滴滴撞击实验产生了具有可变模式的大型,复杂的数据集.
    • 现有的交互式可视化工具在处理多尺度,多模式查询和变量大小输入方面存在局限性.

    研究的目的:

    • 开发一种视觉分析方法,用于交互式探索时空集合.
    • 为了使多尺度模式查询能够支持可变大小模式和多模式分析.
    • 为了促进组合参数和模式发生之间的关系发现.

    主要方法:

    • 一个扩展的相似性模型,支持可变大小的模式查询.
    • 交互式查询使用协调视图进行模式发生分析.
    • 一种指导机制,用于在数据集中识别未充分探索的地区.
    • 关于合成和现实世界流体动力学数据集的演示.

    主要成果:

    • 该方法成功地处理了可变大小的查询模式.
    • 协调的视图促进了模式发生的交互性比较和分析.
    • 指导机制有助于发现新的参数-模式关系.
    • 在合成数据和现实数据上都表现出有效性.

    结论:

    • 开发的视觉分析方法是直观的,有效的探索时空集团.
    • 它克服了以前方法的局限性,通过支持多尺度,多模式和可变大小的查询.
    • 领域专家证实了揭示流体动力学参数-模式关系的实用性.