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Air Sensor Data Unifier: R-Shiny Application
Citation:
Barkjohn, K., C. Seppanen, S. Arunachalam, Steve Krabbe, AND A. Clements. Air Sensor Data Unifier: R-Shiny Application. Air. MDPI, Basel, Switzerland, 3(3):21, (2025). https://doi.org/10.3390/air3030021
Impact/Purpose:
This paper summarizes a tool that will help air quality professionals analyze air sensor data that comes in a variety of formats without requiring extensive programming experience. The tool allows data to be used in the Air Sensor Network Analysis Tool and other tools.
Description:
Data is needed to understand local air quality, reduce exposure, and mitigate the negative impacts on human health. Measuring local air quality often requires a hybrid monitoring approach consisting of the national air monitoring network and one or more networks of air sensors. However, it can be challenging to combine this data to produce a consistent picture of air quality, largely because sensor data is produced in a variety of formats. Users may have difficulty reformatting, performing basic quality control steps, and using the data for their intended purpose. We developed an R-Shiny application that allows users to import text-based air sensor data, describe the format, perform basic quality control, and export the data to standard formats through a user-friendly interface. Format information can be saved to speed up the processing of additional sensors of the same type. This tool can be used by air quality professionals (e.g., state, local, Tribal air agency staff, consultants, researchers) to more efficiently work with data and perform further analysis in the Air Sensor Network Analysis Tool (ASNAT), Google Earth or Geographic Information System (GIS) programs, the Real Time Geospatial Data Viewer (RETIGO), or other applications they already use for air quality analysis and management.
