• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

径向图与线性图在可视化日常模式上的比较。

A Comparison of Radial and Linear Charts for Visualizing Daily Patterns.

出版信息

IEEE Trans Vis Comput Graph. 2020 Jan;26(1):1033-1042. doi: 10.1109/TVCG.2019.2934784. Epub 2019 Aug 20.

DOI:10.1109/TVCG.2019.2934784
PMID:31443015
Abstract

Radial charts are generally considered less effective than linear charts. Perhaps the only exception is in visualizing periodical time-dependent data, which is believed to be naturally supported by the radial layout. It has been demonstrated that the drawbacks of radial charts outweigh the benefits of this natural mapping. Visualization of daily patterns, as a special case, has not been systematically evaluated using radial charts. In contrast to yearly or weekly recurrent trends, the analysis of daily patterns on a radial chart may benefit from our trained skill on reading radial clocks that are ubiquitous in our culture. In a crowd-sourced experiment with 92 non-expert users, we evaluated the accuracy, efficiency, and subjective ratings of radial and linear charts for visualizing daily traffic accident patterns. We systematically compared juxtaposed 12-hours variants and single 24-hours variants for both layouts in four low-level tasks and one high-level interpretation task. Our results show that over all tasks, the most elementary 24-hours linear bar chart is most accurate and efficient and is also preferred by the users. This provides strong evidence for the use of linear layouts - even for visualizing periodical daily patterns.

摘要

环形图通常被认为不如线性图有效。也许唯一的例外是在可视化周期性的时间依赖数据时,这种数据被认为是自然支持环形布局的。已经证明,环形图的缺点超过了这种自然映射的好处。作为一个特殊情况,对每日模式的可视化尚未使用环形图进行系统评估。与每年或每周的周期性趋势相比,在环形图上分析每日模式可能受益于我们在阅读我们文化中无处不在的环形时钟方面的训练技能。在一项由 92 名非专业用户参与的众包实验中,我们评估了环形图和线性图在可视化日常交通事故模式方面的准确性、效率和主观评价。我们系统地比较了两种布局的并排 12 小时变体和单个 24 小时变体,在四个低级任务和一个高级解释任务中进行比较。我们的结果表明,在所有任务中,最基本的 24 小时线性条形图是最准确和高效的,也是用户最喜爱的。这为使用线性布局提供了有力的证据,即使是用于可视化周期性的日常模式。

相似文献

1
A Comparison of Radial and Linear Charts for Visualizing Daily Patterns.径向图与线性图在可视化日常模式上的比较。
IEEE Trans Vis Comput Graph. 2020 Jan;26(1):1033-1042. doi: 10.1109/TVCG.2019.2934784. Epub 2019 Aug 20.
2
How Aligned are Human Chart Takeaways and LLM Predictions? A Case Study on Bar Charts with Varying Layouts.人类图表要点与大语言模型预测的契合度如何?关于具有不同布局的柱状图的案例研究。
IEEE Trans Vis Comput Graph. 2025 Jan;31(1):536-546. doi: 10.1109/TVCG.2024.3456378. Epub 2024 Nov 25.
3
Visualizing Ranges over Time on Mobile Phones: A Task-Based Crowdsourced Evaluation.在手机上随时间可视化范围:基于任务的众包评估。
IEEE Trans Vis Comput Graph. 2019 Jan;25(1):619-629. doi: 10.1109/TVCG.2018.2865234. Epub 2018 Aug 20.
4
Vesicoureteral Reflux膀胱输尿管反流
5
Studying Early Decision Making with Progressive Bar Charts.使用进度条形图研究早期决策制定。
IEEE Trans Vis Comput Graph. 2023 Jan;29(1):407-417. doi: 10.1109/TVCG.2022.3209426. Epub 2022 Dec 16.
6
Off the Radar: Comparative Evaluation of Radial Visualization Solutions for Composite Indicators.雷达盲区:综合指标的放射状可视化解决方案的比较评估。
IEEE Trans Vis Comput Graph. 2016 Jan;22(1):569-78. doi: 10.1109/TVCG.2015.2467322.
7
SpicyNodes: radial layout authoring for the general public.SpicyNodes:面向大众的径向布局创作工具。
IEEE Trans Vis Comput Graph. 2009 Nov-Dec;15(6):1089-96. doi: 10.1109/TVCG.2009.183.
8
Value-cell bar charts for visualizing large transaction data sets.用于可视化大型交易数据集的数值单元条形图。
IEEE Trans Vis Comput Graph. 2007 Jul-Aug;13(4):822-33. doi: 10.1109/TVCG.2007.1023.
9
Four Experiments on the Perception of Bar Charts.四项关于条形图感知的实验。
IEEE Trans Vis Comput Graph. 2014 Dec;20(12):2152-60. doi: 10.1109/TVCG.2014.2346320.
10
Visualization formats of patient-reported outcome measures in clinical practice: a systematic review about preferences and interpretation accuracy.临床实践中患者报告结局测量的可视化格式:关于偏好和解释准确性的系统评价
J Patient Rep Outcomes. 2022 Mar 3;6(1):18. doi: 10.1186/s41687-022-00424-3.

引用本文的文献

1
Assessing the Design of Interactive Radial Data Visualizations for Mobile Devices.评估用于移动设备的交互式径向数据可视化设计。
J Imaging. 2023 May 14;9(5):100. doi: 10.3390/jimaging9050100.
2
A Novel Metaphor Graph Drawing Method for Multidimensional Data Visualisation and Its Case Study on COVID-19 Vaccination Analysis.一种新颖的多维数据可视化隐喻图形绘制方法及其在 COVID-19 疫苗接种分析中的案例研究。
Int J Environ Res Public Health. 2022 Nov 23;19(23):15547. doi: 10.3390/ijerph192315547.
3
GenoREC: A Recommendation System for Interactive Genomics Data Visualization.
GenoREC:交互式基因组学数据可视化推荐系统。
IEEE Trans Vis Comput Graph. 2023 Jan;29(1):570-580. doi: 10.1109/TVCG.2022.3209407. Epub 2022 Dec 21.