About
Course information
Description
The laboratory aims to provide the necessary basis for learning how to manage, analyze and visualize geospatial data through open source tools (geospatial libraries for python, qgis, R …)
At the end of the course, students will be able to:
- understand the specificity of the geospatial data model
- elaborate and integrate geospatial data (vector and raster)
- create maps (also accessible via the web)
Teaching Method
the teaching method chosen is “hands-on learning”:
at each lesson some geospatial analysis concepts are introduced showing python code (with Jupyter Notebook) on the fly.
Step by step students put the concepts into practice and also face everyday problems in data analysis.
At the end of each lesson an exercise is proposed to reinforce what has been learned.
In the next lesson the solution is then presented, thus repeating the concepts exposed and inserting something new.
Teachers
Lessons
Ivan Lizarazo
every Wednesday & Thursday from 30 October onwards - Room 103 - Facultad de Ciencias Agrarias
Slide about the course
Course websites
- official page of the Facultad de Ciencias Agrarias
- Lessons by Ivan Lizarazo