GRAPHICAL PERCEPTION AND GRAPHICAL METHODS FOR ANALYZING SCIENTIFIC-DATA
GRAPHICAL PERCEPTION AND GRAPHICAL METHODS FOR ANALYZING SCIENTIFIC-DATA
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DOI：
10.1126/science.229.4716.828
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发表时间：
1985-01-01
期刊：
影响因子：
56.9
通讯作者：
MCGILL, R
中科院分区：
文献类型：
--
作者：
CLEVELAND, WS;MCGILL, R
图形知觉是对编码在图形上的定量和定性信息的视觉解码。最近的研究揭示了人类图形感知的基本原理，这些原理对数据的显示具有重要意义。计算机图形革命刺激了许多用于分析和表示科学数据的图形方法的发明，例如盒图、两层误差条、散点图平滑、点图和以对数为底2的标度上的图形绘制。
Graphical perception is the visual decoding of the quantitative and qualitative information encoded on graphs. Recent investigations have uncovered basic principles of human graphical perception that have important implications for the display of data. The computer graphics revolution has stimulated the invention of many graphical methods for analyzing and presenting scientific data, such as box plots, two-tiered error bars, scatterplot smoothing, dot charts, and graphing on a log base 2 scale.