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ContDataQC:一个R包和Shiny应用程序,用于连续控制水质传感器数据的质量.
Michael J Pennino1, Jen Stamp2, Erik W Leppo2
1U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, U.S. EPA, Ronald Reagan Building 71277, 1300 Pennsylvania Ave., NW, MC8623R, Washington, D.C. 20004, United States.
概括
ContDataQC R包为水质监测程序提供了一个免费的开源解决方案,用于标准化和加快连续传感器数据质量控制 (QC). 该工具尽量减少数据错误,并提高数据利用率,以改善环境监测.
科学领域:
- 环境科学 环境科学
- 数据科学数据科学数据科学
- 水资源管理 水资源管理
背景情况:
- 连续传感器数据对于水质监测计划至关重要.
- 现有的质量控制 (QC) 程序可能耗时且不一致.
- 需要标准化工具来有效管理和分析传感器数据.
研究的目的:
- 介绍ContDataQC R包,这是一个免费的开源工具,用于自动化水质传感器数据QC.
- 描述数据清理,合并和可视化的软件包的功能.
- 为了证明ContDataQC在长期区域监测网络中的应用.
主要方法:
- 开发了ContDataQC R包,其中包含用于QC报告生成,数据合并和时间序列绘图的功能.
- 九个常见的水质参数 (例如温度,溶氧,pH) 的配置.
- 实现了一个用户友好的R Shiny网络应用程序,以便在不需要安装R软件的情况下访问.
主要成果:
- ContDataQC标准化和加快了连续传感器数据的质量控制过程.
- 该包有助于最大限度地减少未被检测到的数据错误,提高数据可靠性.
- 既有R包和R Shiny网络应用程序版本,为具有和没有R编码经验的用户提供服务.
结论:
- ContDataQC为水质数据管理提供了强大且易于使用的解决方案.
- 该工具通过确保数据完整性和可用性来支持长期区域监测网络.
- ContDataQC使用户能够通过高效的质量控制程序来最大限度地提高他们的传感器数据的价值.
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