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A data science approach for spatiotemporal modelling of low and resident air pollution in Madrid (Spain): Implications for epidemiological studies.

Álvaro Gómez-LosadaFrancisca M. SantosKarina GibertJosé Carlos M. Pires
Published in: Comput. Environ. Urban Syst. (2019)
Keyphrases
  • air pollution
  • data science
  • air quality
  • big data
  • statistical learning
  • machine learning
  • image processing
  • moving objects
  • traffic volume
  • database
  • social networks
  • decision support
  • monitoring system