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

Author

Listed:
  • Yeonkyeong Park

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

  • Insang Song

    (Department of Geography, University of Oregon, Eugene, OR 97403, USA)

  • Jeeeun Yi

    (Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea)

  • Seon-Ju Yi

    (Seoul Center for Infectious Diseases Control and Prevention, Seoul Medical Center, Seoul 02053, Korea)

  • Sun-Young Kim

    (Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Gyeonggi-do 10408, Korea)

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 3 (PM 10 ) and nitrogen dioxide (NO 2 ) 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 10 and NO 2 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.

Suggested Citation

  • Yeonkyeong Park & Insang Song & Jeeeun Yi & Seon-Ju Yi & Sun-Young Kim, 2020. "Web-Based Visualization of Scientific Research Findings: National-Scale Distribution of Air Pollution in South Korea," IJERPH, MDPI, vol. 17(7), pages 1-14, March.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:7:p:2230-:d:337352
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    References listed on IDEAS

    as
    1. Yulin Guo & Fengfeng Liu & Yuanan Lu & Zongfu Mao & Hanson Lu & Yanyan Wu & Yuanyuan Chu & Lichen Yu & Yisi Liu & Meng Ren & Na Li & Xi Chen & Hao Xiang, 2016. "Factors Affecting Parent’s Perception on Air Quality—From the Individual to the Community Level," IJERPH, MDPI, vol. 13(5), pages 1-14, May.
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