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====== 783AA Geospatial Analytics A.A. 2025/26 ======

===Instructors:===
  * **Luca Pappalardo**
    * [[luca.pappalardo@isti.cnr.it]]
    * KDD Laboratory, ISTI-CNR and Scuola Normale Superiore, Pisa
    * [[http://www-kdd.isti.cnr.it]]

  * **Mirco Nanni**
    * [[mirco.nanni@isti.cnr.it]]
    * KDD Laboratory, ISTI-CNR, Pisa
    * [[http://www-kdd.isti.cnr.it]]

===Teaching assistants:===
  * **Giuliano Cornacchia**, Postdoc researcher, ISTI-CNR
  * **Giovanni Mauro**, Postdoc researcher, Scuola Normale Superiore


===== Hours and Rooms =====
^  Day of Week  ^  Hour  ^  Room  ^ 
| Monday   | 16:00 - 18:00  |  Room Fib L1  | 
| Tuesday  | 16:00 - 18:00  |  Room Fib M1  | 

  * Beginning of lectures: 15 September 2025
  * End of lectures: 16 December 2025

__**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. |**15/09**, 16:00-18:00, Fib L1| Introduction to the Course | {{ :geospatialanalytics:gsa:lesson_0_-_about_the_course.pdf | About the course}}  {{ :geospatialanalytics:gsa:lesson_01_-_introduction.pdf | Introduction to Geospatial Analytics and Human Mobility}}| **[book chapter]** [[ https://archive.org/details/kang-tsung-chang-introduction-to-geographic-information-systems-2019-mc-graw-hill-libgen.lc/page/15/mode/2up | Introduction to geographic information systems]], Chapter 1; **[paper]** [[https://arxiv.org/pdf/1710.00004.pdf | Human Mobility: Models and Applications]], Section 1 | L. Pappalardo, M. Nanni |

|2. |16.09  16:00-18:00 Fib M1| Fundamental Concepts I |  |  | L. Pappalardo |
|3. |29.09  16:00-18:00 Fib L1| Fundamental Concepts II |  |  | L. Pappalardo |
|4. |30.09  16:00-18:00 Fib M1| Practical session on Fundamental Concepts |  |  | L. Pappalardo, G. Mauro |
|5. |06.10  16:00-18:00 Fib L1| Spatial Data Analysis I |  |  | M. Nanni |
|6. |07.10  16:00-18:00 Fib M1| Spatial Data Analysis II |  |  | M. Nanni |
|7. |13.10  16:00-18:00 Fib L1| Practical session on Spatial Data Analysis |  |  | M. Nanni, G. Cornacchia |
|8. |14:10  16:00-18:00 Fib M1| Mobility Data I |  |  | L. Pappalardo |
|9. |20.10  16:00-18:00 Fib L1| Mobility Data II |  |  | L. Pappalardo |
|10. |21.10  16:00-18:00 Fib M1| Practical session on Mobility Data |  |  | L. Pappalardo, G. Cornacchia |
|11. |27.10  16:00-18:00 Fib L1| Preprocessing I |  |  | M. Nanni |
|12. |28.10  16:00-18:00 Fib M1| Preprocessing II |  |  | M. Nanni |
|13. |03.11  16:00-18:00 Fib L1| Practical session on Preprocessing |  |  | M. Nanni, G. Cornacchia |
|14. |04.11  16:00-18:00 Fib M1| Individual Mobility Laws and Models I |  |  | L. Pappalardo |
|15. |10.11  16:00-18:00 Fib L1| Individual Mobility Laws and Models II |  |  | L. Pappalardo |
|16. |11.11  16:00-18:00 Fib M1| Practical session on Individual Mobility Laws and Models |  |  | L. Pappalardo, G. Mauro |
|17. |17.11  16:00-18:00 Fib L1| Collective Mobility Laws and Models |  |  | L. Pappalardo |
|18. |18.11  16:00-18:00 Fib M1| Practical session on Collective Mobility Laws and Models |  |  | L. Pappalardo, G. Mauro |
|19. |24.11  16:00-18:00 Fib L1| Mobility Pattern Mining I |  |  | M. Nanni |
|20. |25.11  16:00-18:00 Fib M1| Mobility Pattern Mining II |  |  | M. Nanni |
|21. |01.12  16:00-18:00 Fib L1| Next-location prediction |  |  | M. Nanni |
|22. |02.12  16:00-18:00 Fib M1| Practical session on Mobility Pattern Mining and Next-location Prediction |  |  | M. Nanni, G. Mauro |




==== Previous Geospatial Analytics websites ====
  * [[geospatialanalytics:gsa:gsa2024|]]
  * [[geospatialanalytics:gsa:gsa2023|]]
  * [[geospatialanalytics:gsa:gsa2022|]]