Air monitoring data collection on moving platforms – an instrumented person, bicycle, or vehicle – is now conducted frequently by researchers and citizen scientists. Portable air monitoring instruments with real-time detection capability and advancements in global positioning system (GPS) technology now allow very high spatial and temporal resolution of air pollution data. The traditional mode of evaluating complex geospatial data has been to collect the field data and then utilize sophisticated data analysis and geographical information tools to process and visualize the data. These tools and a skilled analyst are currently and are expected to continue to be relied upon to extract meaningful information from these geospatial data sets. However, these analytical approaches generally take significant time and expertise to conduct, limiting those involved with the analysis process. To simplify the review of geospatial data and expand participation in the analysis process, the Real-Time Geospatial Data Viewer web-based tool is under development and will provide an easy plug-and-play review of geospatial time series. The freely available program will allow data to be viewed in time and space, as well as providing options to reference the geospatial data in terms of distance to a location of interest (e.g., traffic emissions), incorporate ancillary meteorology data, and overlay web-available regional air quality readings. Real-Time Geospatial (RETIGO) Data Viewer: A web-based tool for data exploration Gayle Hagler 1, Matthew Freeman 2 1 US EPA, Office of Research and Development, National Risk Management Research Laboratory, Research Triangle Park, NC, USA 2 Lockheed Martin Corporation, Information Systems & Global Services Summary Goal: Expand Participation in Data Analysis RETIGO: Geospatial time series data input Plan and execute measurements CURRENT STATE Geospatial data analysis, tools require specialized knowledge IDEAL STATE Plan and execute measurements Geospatial data analysis (simplified and advanced analyses) Dissemination of findings Air monitoring data collected on moving platforms is complex in nature, with the concentrations being a function of both time and location. The data collection rate is often on the order of seconds, leading to very large data matrices. Data analysis is often limited to just a few individuals on a research team, with access and training for advanced data analysis tools (e.g., IGOR, MATLAB, ArcGIS). Others on the team are limited in their ability to participate in the data analysis process. RETIGO is a tool to expand participation in data analysis. Example data Required columns Flexible number of data columns Program provides: Options to import geospatial air data and wind speed/direction data, overlay AirNow data Standardized and flexible data input format – supports many columns of air monitoring variables, multiple monitoring packages, disordered time Tool to convert many timestamp options to the UTC/ISO 8601 international standard RETIGO: Data exploration in time and space Development Steps and Schedule Acknowledgements Display of data as time series User can slide along time span, location and markers on chart are highlighted User can place a target location on chart, program computes concentration versus distance-to- target (e.g., distance from source) Program can also: -Display wind vectors (stationary or along a path) from user-input wind data - Display AirNow PM2.5 and ozone values for same measurement period as user-input data User can toggle between measured variables, restrict view to single data points, and turn on/off chart options EPA Quality Assurance Project Plan for Software approved Program development (Winter/Spring 2013) Beta-testing with volunteers (Summer, 2013) – contact Gayle Hagler if interested Program finalized and quality checks conducted (Summer, 2013) Program review and release (early Fall, 2013) This work would not be possible without the support of the below organizations and individuals: EPA’s Environmental Modeling and Visualization Laboratory and High Performance Computing: Heidi Paulsen Lockheed Martin, Information Systems & Global Services: Mike Uhl Contact Gayle Hagler, PhD: