Exploring air quality using a multiple spatial resolution dashboard — a case study in Lisbon

Air quality is monitored using data recollected using fixed selected stations in a region, generally a city. Such approach does not support a fine-grained comprehension about the air quality, namely, in areas distant from the collector's stations, specially in residential urban places. In this paper, we describe a platform that will provide to city council decision-makers a visualization of air pollution data, using an interactive map-based dashboard with multiple spatial resolution. The air quality data is collected using low-cost portable sensors. Air pollution data is then integrated with other environmental contextual data and displayed into the dashboard. Such data includes, among other, spatio-temporal mobility data, providing contextual information about air pollution. The solution is tailored to city council decision-makers enabling a better understanding of air quality issues, and acting as a supporting tool for different communities, exploiting synergies to promote the sustainability of the city.