Version: 1.0.0 | Published: 16 Jul 2025 | Updated: 359 days ago
Geographic Data Science in Python
Dataset
Summary
Description:
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.
Identifier:
10.21105/jose.00042
Contact Point:
Documentation
Documentation:
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 the Teaching Materials page, linked below. For more details about the course (slides, references, citation, license, etc.) please refer to the course page below. If you use material from this course, please used the citation listed below.
Coverage
Temporal
Date of First Release:
28 November 2024
Provenance
Origin
Source:
Author 1
Family Name Person:
Arribas-Bel
Given Name Person:
Dani
Access and Governance
Access
Access Service:
@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} }
Data Controller:
Dani Arribas-Bel
Licence:
Creative Commons Attribution
Format and Standards
Format:
HTML
Origin
Name:
Geographic