Sofia Sensors
Sofia Sensors is a project that leverages Mapbox GL JS for visualizing Air Quality sensor data across Sofia on a Mapbox map. The interactive map includes multiple features, such as the ability to toggle the visibility of ExEA, AirThings, and GATE City Living Lab layers. The project also enables visualization of sensor data in the form of charts, allowing users to select specific sensors and time intervals for analysis. Overall, this project works with real time data and provides robust tools for visualizing and analyzing Air Quality sensor information in Sofia.
City Living Lab sensors
GATE City Living Lab Platform is a project that visualizes data from GATE Institute air quality, pedestrian, and noise sensors on an interactive map. The platform allows users to select sensor stations to view details such as model, address, and latest readings for monitored parameters. Users can toggle sensor types, filter stations, and analyze data through a variety of tools, including chart visualization for selected parameters and time periods. With real-time data and interactive features, the platform provides robust tools for exploring and analyzing environmental and urban sensor information.
City Digital Twin Data
The API provides access to cleaned, structured air quality data and spatial predictions for Sofia. It aggregates data from multiple reliable sources, including ExEA, AirThings, and the GATE City Living Lab sensors. Users can retrieve data at varying levels of detail, such as by time, station, or parameter, ensuring flexibility for diverse use cases. Additionally, the API supports spatial predictions, making it a powerful tool for analyzing patterns in air quality across Sofia.
GATE City Living Lab
The API provides access to cleaned, structured air quality, noise level and pedestrian count data for Sofia. It aggregates data from GATE City Living Lab sensors. Users can retrieve data at varying levels of detail, such as by time, station, or parameter, ensuring flexibility for diverse use cases.