























Abstract:Better representation of the uncertainty in a data visualisation is a focus of recent research activity. A problem with the current literature is that there is a lack of clarity about the definition of uncertainty and what it means to represent it in a plot. This confusion results in a significant amount of conflicting results in the literature, especially in experiments that assess the effectiveness of different uncertainty representations. In this review, we summarise the current literature, provide workable definitions, and illustrate these definitions with examples. In doing so, we ask what it really takes to achieve transparency in statistical graphics. It is hoped that it will be useful for guiding new graphics methodology and experimental research.
From: Harriet Mason [view email]
[v1]
Wed, 13 Nov 2024 09:10:34 UTC (3,947 KB)
[v2]
Wed, 20 Nov 2024 08:45:56 UTC (3,942 KB)
[v3]
Fri, 27 Mar 2026 09:18:05 UTC (354 KB)
[v4]
Fri, 12 Jun 2026 02:45:50 UTC (354 KB)
此内容由惯性聚合(RSS阅读器)自动聚合整理,仅供阅读参考。 原文来自 — 版权归原作者所有。