This tutorial is a part of the course taught by Dr. Dani Arribas-Bel in the Autumn of 2017 at the University of Liverpool. It provides students with core competencies in Geographic Data Science (GDS), covering the following.

  • Advancing their statistical and numerical literacy.
  • Introducing basic principles of programming and state-of-the-art computational tools for GDS.
  • Presenting a comprehensive overview of the main methodologies available to the Geographic Data Scientist, as well as their intuition as to how and when they can be applied.
  • Focusing on real world applications of these techniques in a geographical and applied context.

Details on the data used in the tutorials below can be found here.

For more details about the course (slides, references, citation, license, etc.) please refer to the course's home page.

doi

If you use material from this course, please used the following citation:

@online{darribas_gds17,
  author = {Dani Arribas-Bel},
  title = {Geographic Data Science'17},
  year = 2018,
  url = {http://darribas.org/gds17},
  urldate = {2018-01-04},
  doi = {10.5281/zenodo.1135210}
}

Data and Resources

Additional Info

Field Value
Date Range 2016
Creator Dr. Dani Arribas-Bel
Maintainer Consumer Data Research Centre
Maintainer Email data@cdrc.ac.uk

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