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Geographic Data Science in Python

This tutorial is a part of the course taught by Dr. Dani Arribas-Bel at the University of Liverpool. The course and materials provide students with core competencies in Geographic Data Science (GDS), covering the following topics.

  • 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 at http://darribas.org/gds19/.

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

https://doi.org/10.21105/jose.00042

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

@article{darribas_gds18,
author = {Dani Arribas-Bel},
title = {A course on Geographic Data Science},
year = 2019,
journal = {The Journal of Open Source Education},
volume = 2,
number = 14,
doi = {https://doi.org/10.21105/jose.00042}
}

Controller: 
University of Liverpool

Data and Resources

FieldValue
Modified
2020-03-17
Release Date
2020-02-04
Homepage URL
Author
Dr. Dani Arribas-Bel
Contact Name
Dr. Dani Arribas-Bel
Contact Email

License

CDRC