Visualization & Data Analysis
- Community Air Protection Program Resource Center
- Introduction to Community Air Quality
- Strategy Development
- Technical Assistance
- AB 617 Implementation
- Community Air Protection Program
Air quality monitoring organizations have different data interpretation and visualization requirements. We provide here links and resources helpful for data analysis and visualization of community monitoring data.
This collection of resources can assist organizations in rendering community air monitoring data.
|Air Watch Bay Area||airwatchbayarea.org|
This is a community monitoring data display website, allowing community members to report air quality events and correlate them geographically with community air monitoring data.
|R.E.T.I.G.O. Real Time Geospatial Viewer||US EPA|
This is a free, web based utility for exploring both mobile and stationary data on a map.
|PurpleAir||PurpleAir Air Quality Sensor Manufacturer|
This is a commercial provider of community particulate air monitors, namely the PAII. The PAII was evaluated by the South Coast Air Quality Management District, Air Quality Sensor Performance Evaluation Center program.
Data aggregated by these air monitors will (by default) be mapped in real time here.
|World Air Quality Index Project||World Air Quality Index Project|
Un-validated Data from over 8000 air monitoring organizations around the world are published in real time and mapped on this site.
At the time of writing, contributing data to this source is done by operating a GAIA Air Quality Monitoring Station which can be acquired from the same site. It is also available in the Chrome Web Store.
Data Analysis Resources
This collection of resources can assist organizations in analyzing community air monitoring data.
An R package for air quality data analysis. This package provides:
|Wind Rose and Pollution Rose Diagrams||CARB|
Creates wind rose and pollution rose plots using pollutant, wind speed/direction data.
|Air Pollution: Analysis on Air Quality Index||Kaggle|
Kaggle is a leader in community based data analytics. Kaggle provides online python "workbooks" which are essentially web-based python installations that allow the user to analyze data using the NumPy libraries
This article is a nice primer on air quality data analysis using NumPy.
|Air Toxics Data Analysis Workbook||US EPA||This presentation serves as a primer for conducting an analysis of air toxics data.|
This is an overview of ambient air pollution from a global perspective, with references to health effects and historical averages for context.
Hannah Ritchie and Max Roser (2018) - "Air Pollution".