颜色探索:一种交互式工具,用于探索色调板,并提高数据可视化中的可访问性
1School of Biodiversity, One Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom.
PloS one
|March 19, 2024
概括
色彩探索是一个新的工具,用于在数据可视化中选择可访问的色调板. 它通过模拟色盲和允许自定义图像上传来帮助创建包容性的科学沟通.
科学领域:
- 数据可视化数据可视化
- 科学传播是科学传播.
- 人与计算机的互动.
背景情况:
- 数据可视化中的颜色选择显著影响信息理解.
- 科学沟通的可访问性至关重要,特别是对于有色视障碍的人来说.
- 现有的工具可能无法充分解决各种数据类型的色调板的包容性设计.
研究的目的:
- 介绍Color Quest,一个直观的闪亮应用程序,用于探索和选择可访问的色调板.
- 授权用户可视化色调板用于数据可视化,考虑包容性.
- 通过提高对包容性设计原则的认识,提高数据可视化实践.
主要方法:
- 开发一个名为Color Quest的交互式Shiny应用程序.
- 实现各种图形和地图类型中可视化颜色调色板的功能.
- 包括用户上传自定义图像以进行调色板测试的功能.
主要成果:
- 颜色探索提供了一个直观的界面来探索色调板.
- 该应用程序模拟了色调板如何出现在色盲患者身上.
- 用户可以在自己的图像上测试调色板,增强实际应用.
结论:
- 彩色探索为在数据可视化中选择包容性色调板提供了一个实用的解决方案.
- 该开源应用程序在包容性设计中促进透明度,协作和可持续性.
- 它通过协调信息传播,美学和可访问性来增强科学传播.
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