Studienprojekt "Modelling air quality from open city data" - Einzelansicht

This spatial data science project will use open data, available for the city of Madrid over the past few years, involving:

• Measurements of air quality indicators (PM10, NOx) at around 25 stations
• Model predictions, based on a regional scale air quality model (MACC, see http://www.gmes-atmosphere.eu/services/aqac/)
• Traffic data, as 15 min count data of density, or (density and velocity), over a few hundreds of traffic count stations distributed over the city http://datos.madrid.es/sites/v/index.jsp?vgnextoid=33cb30c367e78410VgnVCM1000000b205a0aRCRD&vgnextchannel=374512b9ace9f310VgnVCM100000171f5a0aRCRD); these data are not colocated with the air quality stations, and a method for correlating them to air quality has to be found

The problems to be approached may include:

1. Are these three variables correlated, and if yes how?
2. Can we use these correlations to improve mapping air quality over, say, maps obtained by simple interpolation of the spatially very sparse air quality measurements?
3. How can we organize a workflow such that it is easy to understand, easy to manage, and developed collaboratively?
4. How can we handle large datasets (several Gb)?

Room No. 255.