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Region 1 Grantee Presentation on Data Visualization with RETIGO
Citation:
Clements, A. Region 1 Grantee Presentation on Data Visualization with RETIGO. Region 1 Enhanced Air Quality Monitoring for Communities Roundtable, Boston, MA, March 19, 2024.
Impact/Purpose:
The REal TIme Geospatial Data Viewer (RETIGO) is a free, web-based visualization tool developed by U.S.EPA to help users quickly and easily visualize mobile or stationary air quality information they have collected. The tool does not require coding skills and offers users the opportunity to compare their data with other nearby stationary data sources (e.g., regulatory instruments that measure the same pollutants, wind measurements that can aid in the interpretation of the data) and satellite data products (e.g., fire detection, visual images, aerosol optical depth). This presentation will provide a brief overview of the capabilities of this tool, and briefly mention some coding resources, for community air monitoring grantees from EPA Region 1.
Description:
Data visualization tools that are quick and easy to use, require no coding skills, and can be used with any type of sensor are in high demand. In addition to visualizing their own data, users often wish to compare the data they collect with other nearby data sources such as instruments that measure the same pollutants or wind measurements that can aid in the interpretation of the data. This presentation will introduce the REal TIme Geospatial Data Viewer (RETIGO), a free, web-based visualization tool developed by U.S.EPA to offer these features. Stationary or mobile user-supplied datasets containing time stamps, latitude and longitude locations, and pollutant/environmental variables can be imported from the user’s computer where it is retained and secure. The tool then uses a web-interface where data can be displayed on an interactive map and in graphs for analysis by clicking available options. The presentation will also briefly introduce coding resources which may assist users in developing their own visualizations.