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Platform for automatic processing of (aq-tngapms) Air Quality using TNGAPMS

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Air Quality - The Next Generation Air Pollution Monitoring Systems (aq-tngapms)

This project implements the experiments of the dissertation entitled "Spatio temporal modeling of air pollution concentrations". A dissertation submitted in partial fulfilment of the degree of MSc. Data Science in the University of Southampton.

The directory structure is as follows:

  • exploration: contains EDA scripts
  • img: contains the plots to be included in the report
  • logs: logs of the executions (mainly from the simulations and long models ran in the Lyceum cluster)
  • model: gather all the assessed models grouped by category
  • pbs_scripts: PBS scripts to run parallel scripts in the Lyceum cluster
  • preprocessing: contains preprocessing scripts
  • scraping: scripts created to collect data from several sources
  • synthetic: experiments to create synthetic point-referenced air pollution data (incomplete)
  • util: helper script gathering common functions used along the experiments

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