Tools and methods for improving the quality and reliability of citizen-generated air quality data. ValAir supports the validation, quality control and correction of low-cost sensor observations so they can be more confidently used for research, analysis and decision-making.
Tools and workflows for transforming environmental observations into high-resolution air quality maps. MapAir combines citizen-generated measurements with other data sources to produce spatial information that can support analysis and decision-making.
A set of services for accessing, aggregating and delivering environmental observations from distributed data sources. VirtualAir provides the API, web interface and deployment components needed to make sensor data accessible to other CitiObs services and applications.
Tools for visualising and exploring environmental observations through interactive maps and dashboards. The CitiObs DSS helps users inspect monitoring stations, measurements and time-series data and turn environmental observations into information that can support local decisions.
Practical data-analysis and visualisation tools designed to help Citizen Observatories work directly with their environmental data. The collection includes Jupyter notebooks, reusable data recipes, visual workflows with Orange Data Mining and TAPIS. The Data Recipes repository provides reusable analytical examples created by CitiObs and the wider community.
The source repositories for the CitiObs practical guidance toolkits. They provide open documentation on environmental monitoring, inclusive participation, sustainable Citizen Observatories, participation dynamics and citizen-led action, allowing the guidance to remain accessible and reusable after the project.
Technical components supporting interoperable exchange of sensor data through the OGC SensorThings API and STAplus. These repositories include API extensions, a Python client and WebSub-related components for accessing and exchanging environmental observations.
