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783AA Geospatial Analytics A.A. 2026/27

Instructors:

Hours and Rooms

Day of Week Hour Room
Monday 16:00 - 18:00 Room FIB I-LAB
Friday 11:00 - 13:00 Room FIB I-LAB
  • Beginning of lectures: 18 September 2026
  • End of lectures: 18 December 2026

The lectures will be only in person and will NOT be live-streamed

Learning goals

The analysis of geographic information, such as those describing human movements, is crucial due to its impact on several aspects of our society, such as disease spreading (e.g., the COVID-19 pandemic), urban planning, well-being, pollution, and more. This course will teach the fundamental concepts and techniques underlying the analysis of geographic and mobility data, presenting data sources (e.g., mobile phone records, GPS traces, geotagged social media posts), data preprocessing techniques, statistical patterns, predicting and generative algorithms, and real-world applications (e.g., diffusion of epidemics, socio-demographics, link prediction in social networks). The course will also provide a practical perspective through the use of advanced geoanalytics Python libraries.

The assessment of the course consists of an oral exam, aimed to test the knowledge acquired by the student during the course.

Topics:

  • Spatial Reference Systems
  • Data formats
  • Trajectory and Flows
  • Spatial Tessellations
  • Open-source tools for geospatial analysis
  • Digital spatial and mobility data
  • Preprocessing mobility data
  • Individual and collective mobility laws
  • Next-location and flow prediction
  • Trajectory and flow generation
  • Applications

Module 1: Data Analysis

  • Fundamentals of Geographical Information Systems
    • Geographic coordinates systems
    • Vector data model
    • Trajectories
    • Spatial Tessellations
    • Flows
    • Practice
  • Digital spatial and mobility data
    • Mobile Phone Data
    • GPS data
    • Social media data
    • Other data (POIs, Road Networks, etc.)
    • Practice
  • Preprocessing mobility data
    • filtering compression
    • stop detection
    • trajectory segmentation
    • trajectory similarity and clustering
    • Practice

Module 2: Patterns and Laws

  • individual mobility laws
  • collective mobility laws
  • mobility pattern mining
  • Practice

Module 3: Models

  • Prediction
    • Next-location prediction
    • Crowd flow prediction
    • Spatial interpolation
  • Generation
    • Trajectory generation
    • Flow generation
  • Practice

Calendar

Day Topic Slides/Code Material Teacher
1. 18/09, 11:00-13:00, FIB I-LAB Introduction to the Course L. Pappalardo, M. Nanni, G. Mauro
2. 21/09, 14:00-16:00, FIB I-LAB Fundamental Concepts I L. Pappalardo
3. 25/09, 11:00-13:00, FIB I-LAB Fundamental Concepts II L. Pappalardo
4. 28/09, 14:00-16:00, FIB I-LAB Practical session on Fundamental Concepts G. Mauro
5. 02/10, 11:00-13:00, FIB I-LAB Spatial Data Analysis I M. Nanni
6. 05/10, 14:00-16:00, FIB I-LAB Spatial Data Analysis II M. Nanni
7. 09/10, 11:00-13:00, FIB I-LAB Practical session on Spatial Data Analysis G. Mauro
8. 12/10, 14:00-16:00, FIB I-LAB Mobility Data I L. Pappalardo
9. 16/10, 11:00-13:00, FIB I-LAB Mobility Data II L. Pappalardo
10. 19/10, 14:00-16:00, FIB I-LAB Practical session on Mobility Data G. Mauro
11. 23/10, 11:00-13:00, FIB I-LAB Preprocessing I M. Nanni
12. 26/10, 14:00-16:00, FIB I-LAB Preprocessing II M. Nanni
13. 30/10, 11:00-13:00, FIB I-LAB Individual Mobility Laws I L. Pappalardo
14. 06/11, 11:00-13:00, FIB I-LAB Practical session on Preprocessing G. Mauro
15. 09/11, 14:00-16:00, FIB I-LAB Individual Mobility Laws II L. Pappalardo
16. 13/11, 11:00-13:00, FIB I-LAB Mobility Models I G. Mauro
17. 16/11, 14:00-16:00, FIB I-LAB Mobility Models II G. Mauro
18. 20/11, 11:00-13:00, FIB I-LAB Practical session on Collective Mobility Laws and Models G. Mauro
19. 23/11, 14:00-16:00, FIB I-LAB Mobility Pattern Mining I M. Nanni
20. 27/11, 11:00-13:00, FIB I-LAB Mobility Pattern Mining II M. Nanni
21. 30/11, 14:00-16:00, FIB I-LAB Next-location prediction M. Nanni
22. 04/11, 11:00-13:00, FIB I-LAB Impact of preprocessing on next-location prediction K. Smolak
23. 11/12, 11:00-13:00, FIB I-LAB Practical session on Mobility Pattern Mining and Next-location Prediction G. Mauro
24. 14/12, 14:00-16:00, FIB I-LAB Location-based recommender systems G. Mauro

Previous Geospatial Analytics websites

geospatialanalytics/gsa/start.1788514702.txt.gz · Ultima modifica: da Luca Pappalardo

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