空气传感器数据统一器:R-Shiny 应用程序
Karoline K Barkjohn1, Catherine Seppanen2, Saravanan Arunachalam2
1Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, Durham, NC 27711, USA.
概括
本研究介绍了一个R-Shiny应用程序,以简化处理各种空气传感器数据,以改进当地空气质量分析和健康影响评估.
科学领域:
- 环境科学 环境科学
- 数据科学数据科学数据科学
- 公共卫生 公共卫生
背景情况:
- 当地空气质量监测对于公共卫生和减少暴露至关重要.
- 将国家网络与多样化的空气传感器数据集成,带来了格式和质量控制的挑战.
- 现有的数据格式阻碍了一致的空气质量评估.
研究的目的:
- 开发一个用户友好的工具来处理和标准化空气传感器数据.
- 为空气质量专业人员简化数据重编和质量控制.
- 方便将传感器数据集成到现有的空气质量分析平台.
主要方法:
- 开发一个R-Shiny应用程序来导入和处理数据.
- 实现描述数据格式和执行质量控制的功能.
- 允许将处理的数据导出到标准格式中进行进一步分析.
主要成果:
- R-Shiny应用程序有效地导入,格式和质量控制基于文本的空气传感器数据.
- 保存的格式信息可以加速类似传感器的处理.
- 该工具支持与各种空气质量分析软件的集成.
结论:
- 开发的应用程序提高了处理空气传感器数据的效率.
- 它使空气质量专业人员能够进行更强大的分析.
- 该工具有助于更好地了解和管理当地空气质量.
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