信息图表
不确定性(哲学)
计算机科学
数据科学
代表(政治)
计算能力
绘图
政治
认识论
心理学
数据挖掘
政治学
读写能力
法学
哲学
计算机图形学(图像)
教育学
作者
David Spiegelhalter,M Pearson,Ian Short
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2011-09-08
卷期号:333 (6048): 1393-1400
被引量:646
标识
DOI:10.1126/science.1191181
摘要
We are all faced with uncertainty about the future, but we can get the measure of some uncertainties in terms of probabilities. Probabilities are notoriously difficult to communicate effectively to lay audiences, and in this review we examine current practice for communicating uncertainties visually, using examples drawn from sport, weather, climate, health, economics, and politics. Despite the burgeoning interest in infographics, there is limited experimental evidence on how different types of visualizations are processed and understood, although the effectiveness of some graphics clearly depends on the relative numeracy of an audience. Fortunately, it is increasingly easy to present data in the form of interactive visualizations and in multiple types of representation that can be adjusted to user needs and capabilities. Nonetheless, communicating deeper uncertainties resulting from incomplete or disputed knowledge--or from essential indeterminacy about the future--remains a challenge.
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