Suppr超能文献

基于网络的科学研究成果可视化:韩国全国范围的空气污染分布。

Web-Based Visualization of Scientific Research Findings: National-Scale Distribution of Air Pollution in South Korea.

机构信息

Department of City and Regional Planning, Cornell University, Ithaca, NY 14850, USA.

Department of Geography, University of Oregon, Eugene, OR 97403, USA.

出版信息

Int J Environ Res Public Health. 2020 Mar 26;17(7):2230. doi: 10.3390/ijerph17072230.

Abstract

BACKGROUND

As scientific findings of air pollution and subsequent health effects have been accumulating, public interest has also been growing. Accordingly, web visualization is suggested as an effective tool to facilitate public understanding in scientific evidence and to promote communication between the public and academia. We aimed to introduce an example of easy and effective web-based visualization of research findings, relying on predicted concentrations of particulate matter ≤ 10 µg/m (PM) and nitrogen dioxide (NO) obtained from our previous study in South Korea and Tableau software. Our visualization focuses on nationwide spatial patterns and temporal trends over 14 years, which would not have been accessible without our research results.

METHODS

Using predicted annual average concentrations of PM and NO across approximately 250 districts and maps of administrative divisions in South Korea during 2001-2014, we demonstrate data preprocessing and design procedures in the Tableau dashboard, comprising maps, time-series plots, and bar charts.

RESULTS

Our visualization allows one to identify high concentration areas, a long-term temporal trend, and the contrast between two pollutants. The application of easy tools for user-interactive options in Tableau suggests possible easy access to the scientific knowledge of non-experts.

CONCLUSION

Our example contributes to future studies that develop the visualization of research findings in further intuitive designs.

摘要

背景

随着空气污染及其对健康影响的科学发现不断积累,公众的兴趣也在不断增长。因此,网络可视化被认为是一种有效工具,可以促进公众对科学证据的理解,并促进公众与学术界之间的交流。我们旨在介绍一个基于网络的研究结果可视化的简单有效示例,该示例依赖于我们之前在韩国进行的研究中预测的颗粒物≤10µg/m(PM)和二氧化氮(NO)浓度,以及 Tableau 软件。我们的可视化重点关注全国范围内 14 年来的空间格局和时间趋势,如果没有我们的研究结果,这些信息将无法获得。

方法

使用 2001-2014 年期间韩国约 250 个区和行政区地图上的 PM 和 NO 年平均预测浓度,我们展示了 Tableau 仪表板中的数据预处理和设计过程,包括地图、时间序列图和条形图。

结果

我们的可视化允许人们识别高浓度区域、长期时间趋势以及两种污染物之间的对比。Tableau 中易于使用的用户交互选项应用程序表明,非专业人士可能更容易获得科学知识。

结论

我们的示例为未来的研究做出了贡献,这些研究将以更直观的设计开发研究结果的可视化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eb6/7177515/845e13dcb8f4/ijerph-17-02230-g001.jpg

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