We turn our attention to the broader air quality datascape and how we might use dataset combinations to drive ideas for products and services, policy and campaign initiatives, public engagement and behaviour change activities.
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This is the first of two posts that discuss the publishing of real time Air Quality data in Sheffield. In this post we’ll look at the technical specifics of where the data comes from, how it is processed and where it ends up. In the follow-up posting, we’ll consider some of the softer issues around this process.
Looking beyond air pollutant levels for AirQuality+ one promising avenue of research is the permits issued to organisations that govern the processing of pollutants. We’re working closely with the council on this dataset and one common interest is a visual map of permits in the region.
Using SPARQL to return all the measurements for all NO2 sensors over a given time period.
You can use our SPARQL samples and gnuplot to graph emissions in a time series.