Getting Started with Spatial Analysis using R

About

This course offers a hands-on, step-by-step approach to spatial data analysis. You will begin by mastering essential R skills and tools for handling spatial data. As the course progresses, you will explore core principles of spatial patterns and relationships through statistical techniques.

This course aims to provide a solid foundation to geospatial data and its practical applications in the social and political sciences. You will learn how to organise and utilise spatial data for analysis in diverse political science contexts, visualise it through maps, and identify various social patterns through gelocation. You will also gain experience in applying quasi-experimental methods and using GIS in R to design natural experiments.

ECTS Credits
3 ECTS credits awarded for engaging fully in class activities.
1 additional ECTS credit awarded for completing a post-course assignment

Course leader

Fernando De la Cuesta is an Assistant Professor in the Department of Applied, Public, and Political Economics at the Complutense University of Madrid. He holds a PhD in Social Sciences. His research combines applied geography and economic methods to deepen the understanding of political and electoral behaviour. Fernando integrates his expertise in spatial analysis of political and electoral phenomena into both his research and teaching

Target group

Social science researchers

Course aim

You will have a strong foundation for analysing spatial data with R, and be equipped to perform spatial analysis on your own research projects

Fee info