Course information


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.



Maurizio Napolitano
every Friday from 1 October to 3 December - room 12 Department of Sociology and Social Research - University of Trento

Slide about the course

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Course websites