DSC-57 Explore Shipping GPS data for rapid economic indicators

This project is to explore the ships tracking data (AIS) and the ship waste data (CERS), to further exploit these huge, rich datasets.

Team members

  • Louisa Nolan
  • Alex Noyvirt

The need

DIT want to implement some of what has already been done. We have a dataset for UK waters, but may be able to extend this to a global dataset.

Impact

This project will look to:

  • investigate the Rotterdam effect
  • run all the AIS data, to create a full data set
  • provide count of ships, ship types and sizes in and out of UK ports (for DfT)
  • provide number of port-to-port journeys - who goes where? (ESSnet)
  • visualize the data
  • same for CERS, and also type & volume of material carried
  • develop an economic indicator for trade in goods, based on shipping volumes and / or waste
  • potentially build a pipeline to update outputs automatically with new data
  • share code and methods with UN Global Platform, Stats Netherlands, UN Global Pulse etc.

Data science

  • Big data
  • Pyspark
  • Data visualization
  • Geospatial

Stakeholders

  • Department for Transport
  • DExEU
  • DIT
  • ESSnet
  • Defra? especially for summary stats on CERS?
  • BEIS
  • HMT, BEIS, ONS - early indicators
  • CBDS Stats Netherlands
  • UN Global Pulse
  • UN Global Platform

Code and outputs

Further information

Please contact datasciencecampus@ons.gov.uk for more information.

Updates

  • No updates yet.

Notes

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Updated