The inaugural workshop of the week focused on selecting an appropriate framework for presenting and visualizing the data collected by the sniffer bike, including metrics such as NOx levels, fine dust, and heavy metal emissions. A key consideration centered around whether to utilize a rented server or develop our own server using a Raspberry Pi. To address this, we engaged in multiple rounds of brainstorming and subsequent discussion to explore various ideas.

Following three rounds of deliberation, we identified five potential frameworks: Node-RED, Grafana, GPS-Visualizer, Mapserver, and Next Js. Extensive research was conducted to distinguish between these options, assessing factors such as ease of implementation, user-friendliness, scalability for processing large datasets, associated costs, cross-platform compatibility, availability of libraries and documentation tailored to our data visualization needs, effectiveness in presenting measurements on a map, and overall accessibility.

This evaluation process was conducted in small groups, each comprised of a team leader with prior software experience, ideally, an individual familiar with the sensor technology, and someone versed in neither, ensuring diverse perspectives were considered.