论文标题
为什么所有图表都不是散点图？超出精确驱动的可视化
Why Shouldn't All Charts Be Scatter Plots? Beyond Precision-Driven Visualizations
论文作者
论文摘要
信息可视化研究和实践中的一个核心概念是视觉变量有效性的概念，或者在给定编码的视觉渠道的值中，值将值解码的感知精度。克利夫兰和麦吉尔（Cleveland＆McGill）的形成性工作表明，沿公共轴的位置是比较单个值的最有效的视觉变量。一个自然的结论是，任何不是点图或散点图的图表都是不足的，应避免。在本文中，我们驳斥了这种“仅散点图”论点的讽刺漫画，以呼吁如何研究，教导和评估信息可视化的新观点。
A central concept in information visualization research and practice is the notion of visual variable effectiveness, or the perceptual precision at which values are decoded given visual channels of encoding. Formative work from Cleveland & McGill has shown that position along a common axis is the most effective visual variable for comparing individual values. One natural conclusion is that any chart that is not a dot plot or scatterplot is deficient and should be avoided. In this paper we refute a caricature of this "scatterplots only" argument as a way to call for new perspectives on how information visualization is researched, taught, and evaluated.
