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
  • Chris Bonham
  • Luke Shaw

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.


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


  • 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 for more information.


  • No updates yet.


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