Keywords
pre-processing, monitoring, spatio-temporal models, GIS, data science, air quality
Location
Colorado State University
Start Date
26-6-2018 5:00 PM
End Date
26-6-2018 7:00 PM
Abstract
In the context of smart cities, more and more real time information is available to a better management. The paper shows how a detailed preprocessing helps to a better modelling of air quality based on combining several open data sources like climate, traffic and pollution monitoring in the city of Barcelona. Traffic information can be viewed in GIS and associated with pollutants and climate information. The work shows how the preprocessing of different kinds of data can be encompassed into a global Data Science process usefull to support environmental plans in the city
Understanding the impact of climate and traffic in air quality: the impact of preprocessing in data science
Colorado State University
In the context of smart cities, more and more real time information is available to a better management. The paper shows how a detailed preprocessing helps to a better modelling of air quality based on combining several open data sources like climate, traffic and pollution monitoring in the city of Barcelona. Traffic information can be viewed in GIS and associated with pollutants and climate information. The work shows how the preprocessing of different kinds of data can be encompassed into a global Data Science process usefull to support environmental plans in the city
Stream and Session
B3: Sixth Session on Data Mining as a Tool for Environmental Scientists (S-DMTES-2018)