Curso: Datos Espaciales en R / Course Announcement: Spatial Data in R
Los días 3 y 4 de noviembre el investigador Ondrej Sokol impartirá un curso de 6 horas sobre Datos Espaciales en R.
Short Course Announcement: Spatial Data in R
Instructor: Ondřej Sokol, University of Economics, Prague
Dates:
- Monday, November 3, 2025 — 12:00–15:00
- Tuesday, November 4, 2025 — 12:00–15:00
Room: B0.10
Course Overview
This short course introduces participants to the fundamentals of working with spatial data in R. The course will cover essential tools and techniques for handling different types of spatial objects, including polygons (e.g., regional boundaries), lines (roads), map layers, satellite imagery, and rasters.
Participants will also learn about data sources, with an emphasis on freely available spatial datasets. All concepts will be demonstrated using clear, hands-on examples, highlighting the potential applications of spatial data in more advanced analytical contexts.
Basic proficiency in R is assumed.
Course Materials
All materials will be available via cloud access during the course.
Included resources:
- packages.R – a script listing all R libraries used in the course, enabling easy installation.
- intermediate outputs/ – a folder containing intermediate results of analyses. This ensures smooth progress even if some data sources become temporarily unavailable or if R experiences crashes.
Notes
While the course primarily uses free data sources, a few examples rely on commercial map services (Stadia Maps and Here Maps) that require registration and an API key. If you do not have an API key, the corresponding datasets are already provided in the intermediate outputs folder.