Geographic Data Science for Applied Economists

Delivered by Dr. Carmen Cabrera-Arnau. The course website has been created by Dr. Cabrera-Arnau based on a previous version of the course designed by Prof. Dani Arribas-Bel, Prof. Diego Puga and Carmen Cabrera-Arnau.

Teaching
Python
Data Science
Postgraduate
Urban economics
Authors

Prof. Dani Arribas-Bel

Prof. Diego Puga

Dr. Carmen Cabrera-Arnau

Published

October 23, 2024

URL: https://crmnca.github.io/gds4eco/

Description: This course provides an introduction to Geographic Data Science for applied economists using Python. It has been designed to be delivered in 9 hours of teaching, split into six sessions of 1.5 hours each.

Contents:
1. Spatial data
2. Geovisualisation
3. Spatial feature engineering (I)
4. Spatial feature engineering (II)
5. OpenStreetMap
6. Transport costs

Delivery: as part of the Master in Economics and Finance at Center for Monetary and Financial Studies (CEMFI).

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