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摘要(Abstract)

数据采集。数据的采集直接决定了数据的格式、维度、尺寸、分辨率、精确度等重要性质,在很大程度上决定了可视化结果的质量。 数据变换。这个过程包括去除数据噪声、数据清洗、提取特征。 可视化映射。可视化映射是整个可视化流程的核心,它将数据的数值、空间位置、不同位置数据间的联系等,映射到不同的视觉通道,关于视觉通道部分可以看这篇文章—— 数据可视化的基本原理——视觉通道 。 用户感知。数据可视化和其他数据分析处理办法的最大不同是 用户 。用户借助数据可视化结果感受数据的不同,从中提取信息、知识和灵感。 科学可视化流程, 上述过程都是基于数据背后的自然现象或者社会现象,而不是数据本身。 各个模块的联系并不是按照我画的顺序来联系的,他们之间的联系更多是非线性的,任意两个模块之间都可能存在联系。 按照数据收集、处理、映射等步骤来组织可视化 信息可视化流程, 这个模型由 Card 等人提出,把流水线式的可视化流程升级为回路,用户可以操作任何一个阶段。现在大多数可视化流程都是仿照这个来的,大多数系统在实现上可能会有些差异。 人机交互可视化模型 对数据进行交互可视化,以帮助用户感知数据中蕴含的规律 按照给定的先验,进行数据挖掘,从数据中直接提炼出数据模型。


主题(Topic)

项目(Project)
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