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geospatialanalytics:gsa:start [28/12/2025 alle 14:52 (9 mesi fa)] Luca Pappalardogeospatialanalytics:gsa:start [10/09/2026 alle 16:00 (5 giorni fa)] (versione attuale) – [Hours and Rooms] Mirco Nanni
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-====== 783AA Geospatial Analytics A.A. 2025/26 ======+====== 783AA Geospatial Analytics A.A. 2026/27 ======
  
 ===Instructors:=== ===Instructors:===
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     * [[http://www-kdd.isti.cnr.it]]     * [[http://www-kdd.isti.cnr.it]]
  
-===Teaching assistants:=== +  * **Giovanni Mauro** 
-  * **Giuliano Cornacchia**, Postdoc researcher, ISTI-CNR +    [[giovanni.mauro@sns.it]] 
-  * **Giovanni Mauro**, Postdoc researcher, Scuola Normale Superiore+    KDD Laboratory, Scuola Normale Superiore, Pisa 
 +    * [[http://www-kdd.isti.cnr.it]]
  
  
 ===== Hours and Rooms ===== ===== Hours and Rooms =====
 ^  Day of Week  ^  Hour  ^  Room  ^  ^  Day of Week  ^  Hour  ^  Room  ^ 
-| Monday   16:00 - 18:00  |  Room Fib L1  |  +| Monday   14:00 - 16:00  |  Room FIB I-LAB  |  
-Tuesday  16:00 - 18:00  |  Room Fib M1  +Friday   11:00 - 13:00  |  Room FIB I-LAB  
  
-  * Beginning of lectures: 15 September 2025 +  * Beginning of lectures: 18 September 2026 
-  * End of lectures: 16 December 2025+  * End of lectures: 18 December 2026
  
 __**The lectures will be only in person and will NOT be live-streamed**__ __**The lectures will be only in person and will NOT be live-streamed**__
  
- 
-====== News and communications ====== 
- 
-** Exams sessions**:  
- 
-  * the session of exams of __January 8th 2026 will be at 9:30am in room C29 (aula Faedo)__ at [[https://hiis.isti.cnr.it/images/how_to_reach_room_c29.jpg | ISTI-CNR]]. Bring your identity card (or passport) for identification. 
  
 ====== Learning goals ====== ====== Learning goals ======
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 ^ ^ Day  ^ Topic ^ Slides/Code  ^ Material ^ Teacher| ^ ^ Day  ^ Topic ^ Slides/Code  ^ Material ^ Teacher|
-|1. |**15/09**, 16:00-18:00, Fib L1| Introduction to the Course | **[slides]** {{ :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 | +|1. |**18/09**, 11:00-13:00, FIB I-LAB| Introduction to the Course | | | L. Pappalardo, M. Nanni, G. Mauro|  
-|2. |**16.09**  16:00-18:00 Fib M1| Fundamental Concepts I | **[slides]** {{ :geospatialanalytics:gsa:lesson_02_-_fundamental_concepts.pdf Fundamental concepts}} | **[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 2 (Coordinate Systems); **[video]** [[https://www.youtube.com/watch?v=HnWNhyxyUHg | Intro to coordinate systems and UTM projection]]; **[mobility book chapter]** {{ :geospatialanalytics:gsa:ch2book_-fundamental_concepts.pdf | Introduction to Human Mobility - Chapter 2}} | L. Pappalardo | +|2. |**21/09**, 14:00-16:00, FIB I-LAB| Fundamental Concepts I     | | | L. Pappalardo| 
-|3. |**29.09**  16:00-18:00 Fib L1| Fundamental Concepts II | **[slides]** {{ :geospatialanalytics:gsa:lesson_02_-_fundamental_concepts.pdf Fundamental concepts}} | **[paper]** [[https://arxiv.org/abs/2012.02825 | A survey of deep learning for human mobility]], Section 2.1, Appendix A; **[mobility book chapter]** {{ :geospatialanalytics:gsa:ch2book_-fundamental_concepts.pdf | Introduction to Human Mobility - Chapter 2}} | L. Pappalardo | +|3. |**25/09**, 11:00-13:00, FIB I-LAB| Fundamental Concepts II     | | | L. Pappalardo| 
-|4. |**30.09**  16:00-18:00 Fib M1| Practical session on Fundamental Concepts | **[code]**{{ :geospatialanalytics:gsa:gsa1.zip Notebook}}  | L. Pappalardo, G. Mauro | +|4. |**28/09**, 14:00-16:00, FIB I-LAB| Practical session on Fundamental Concepts | | | G. Mauro| 
-|5. |**06.10**  16:00-18:00 Fib L1| Spatial Data Analysis | **[slides]** {{ :geospatialanalytics:gsa:03_-_spatial_data_analysis_25_26.pdf |Spatial Data Analysis I}} **[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]], Sect. 3.1, 3.3, 4.1-4.3, 4.7, 8.5, Chapter 11; **[book chapter]** [[ https://mgimond.github.io/Spatial | Intro to GIS and Spatial Analysis]], Chapter 11, 13; **[book section]** [[ https://doi.org/10.1007/978-0-387-35973-1_446 | Encyclopedia of GIS: Geary’s C]] | M. Nanni | +|5. |**02/10**, 11:00-13:00, FIB I-LAB| Spatial Data Analysis I | | | M. Nanni| 
-|6. |**07.10**  16:00-18:00 Fib M1| Spatial Data Analysis II | **[slides]** {{ :geospatialanalytics:gsa:03bis_-_spatial_data_analysis_25_26.pdf Spatial Data Analysis II}} **[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 15; **[book chapter]** [[ https://mgimond.github.io/Spatial Intro to GIS and Spatial Analysis]], Chapter 14; **[book section]** [[ https://sustainability-gis.readthedocs.io/en/latest/ Spatial data science for sustainable development]], Tutorial 3 (Spatial Regression); **[paper]** [[ https://doi.org/10.1007/s10619-019-07278-7 | Spatial co-location patterns]], Sect. 3.1; **[paper]** [[ https://www.lri.fr/~sebag/Examens/Ester_KDD98.pdf | Trend Detection in Spatial Databases ]]Sect. 4 | M. Nanni | +|6. |**05/10**, 14:00-16:00, FIB I-LAB| Spatial Data Analysis II | | | MNanni| 
-|7. |13.10  16:00-18:00 Fib L1| Practical session on Spatial Data Analysis | **[code]** {{ :geospatialanalytics:gsa:gsa_spatial_patterns_13oct_2025.ipynb.zip Notebook}}  | M. Nanni, G. Cornacchia +|7. |**09/10**, 11:00-13:00, FIB I-LAB| Practical session on Spatial Data Analysis | | | G. Mauro
-|8. |14:10  16:00-18:00 Fib M1| Mobility Data | **[slides]** {{ :geospatialanalytics:gsa:04-_spatial_and_mobility_data_25_26_1_.pdf | Mobility Data}} **[paper]** [[ https://arxiv.org/abs/2012.02825 A survey of deep learning for human mobility ]], Appendix C.1, C.2, C.3; **[paper]** [[ https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-021-00284-9 | Evaluation of home detection algorithms on mobile phone data using individual-level ground truth ]], Section 1 "Introduction", Section 2 "Mobile phone datasets"; **[paper]** [[ https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-015-0046-0 | A survey of results on mobile phone datasets analysis ]], Section 1 "Introduction", Section 3 "Adding space - geographical networks"; | L. Pappalardo | +|8. |**12/10**, 14:00-16:00, FIB I-LAB| Mobility Data | | | L. Pappalardo| 
-|9. |20.10  16:00-18:00 Fib L1| Mobility Data II | **[slides]** {{ :geospatialanalytics:gsa:04-_spatial_and_mobility_data_25_26_1_.pdf Mobility Data}} | **[paper]** [[ https://www.kdd.org/exploration_files/June_2019_-_1._Urban_Human_Mobility,_Data_Drive_Modeling_and_Prediction_.pdf | Urban Human Mobility: Data-Driven Modeling and Prediction]], Section 2.2 "Popular Urban Data"; | L. Pappalardo | +|9. |**16/10**, 11:00-13:00, FIB I-LAB| Mobility Data II | | | L. Pappalardo| 
-|10. |21.10  16:00-18:00 Fib M1| Practical session on Mobility Data | **[code]**{{ :geospatialanalytics:gsa:gsa_cdr_and_gps_20oct_2025.ipynb.zip Notebook}}  | L. Pappalardo, G. Cornacchia +|10. |**19/10**, 14:00-16:00, FIB I-LAB| Practical session on Mobility Data | | | G. Mauro
-|11. |27.10  16:00-18:00 Fib L1| Preprocessing | **[slides]** {{ :geospatialanalytics:gsa:05_-_preprocessing_25_26.pdf |Data Preprocessing}} **[paper]** [[https://journals.sagepub.com/doi/pdf/10.1177/15501477211050729?download=true|Review and classification of trajectory summarisation algorithms: From compression to segmentation]]; **[paper]** [[http://www2.ipcku.kansai-u.ac.jp/~yasumuro/M_InfoMedia/paper/Douglas73.pdf|Algorithms for the reduction of the number of points required to represent a digitized line or its caricature (Douglas-Peucker)]]; **[paper]** [[https://www.researchgate.net/publication/314207447_A_Trajectory_Segmentation_Map-Matching_Approach_for_Large-Scale_High-Resolution_GPS_Data|A Trajectory Segmentation Map-Matching Approach for Large-Scale, High-Resolution GPS Data]]; **[paper]** [[https://www.ismll.uni-hildesheim.de/lehre/semSpatial-10s/script/6.pdf|Hidden Markov Map Matching Through Noise and Sparseness]] | M. Nanni | +|11. |**23/10**, 11:00-13:00, FIB I-LAB| Preprocessing | | | M. Nanni| 
-|12. |28.10  16:00-18:00 Fib M1| Preprocessing II |  **[mobility book chapter]** {{ :geospatialanalytics:gsa:ch4book_-_preprocessing.pdf | Introduction to Human Mobility - Chapter 4}}  | M. Nanni | +|12. |**26/10**, 14:00-16:00, FIB I-LAB| Preprocessing II | | | M. Nanni| 
-|13. |03.11  16:00-18:00 Fib L1Practical session on Preprocessing   MNanni, G. Cornacchia +|13. |**30/10**, 11:00-13:00, FIB I-LABIndividual Mobility Laws I | | | LPappalardo
-|14. |04.11  16:00-18:00 Fib M1Individual Mobility Laws **[slides]** {{ :geospatialanalytics:gsa:lesson_06_-_individual_mobility_laws.pdf Individual mobility patterns}} **[paper]** [[ https://www.nature.com/articles/nature04292 The scaling laws of human travel]]; **[paper]** [[ https://www.nature.com/articles/nature06958 Understanding individual human mobility patterns]];  **[paper]** [[https://arxiv.org/pdf/1710.00004.pdf Human Mobility: Models and Applications]], Sections 3.1 and 4; **[paper]** [[ https://www.nature.com/articles/ncomms9166 | Returners and Explorers dichotomy in Human Mobility]]; **[paper]** [[ https://barabasi.com/f/310.pdf | Limits of predictability in human mobility]]; **[paper]** [[ https://www.nature.com/articles/nphys1760 | Modelling the scaling properties of human mobility]]; | Pappalardo|  +|14. |**06/11**, 11:00-13:00, FIB I-LABPractical session on Preprocessing | | | GMauro| 
-|15. |10.11  16:00-18:00 Fib L1| Mobility Models | {{ :geospatialanalytics:gsa:lesson_07_-_mobility_models.pdf |}} **[paper]** [[ https://arxiv.org/abs/1710.00004 |Modelling the scaling properties of human mobility]]; **[paper]** [[https://arxiv.org/pdf/1710.00004.pdf | Human Mobility: Models and Applications]] (Section 4.1); | L. Pappalardo | +|15. |**09/11**, 14:00-16:00, FIB I-LABIndividual Mobility Laws II | | | L. Pappalardo| 
-|16. |11.11  16:00-18:00 Fib M1Practical session on Individual Mobility Laws and Models |   L. Pappalardo, G. Mauro | +|16. |**13/11**, 11:00-13:00, FIB I-LAB| Mobility Models | | | G. Mauro| 
-|17. |17.11  16:00-18:00 Fib L1| Mobility Models II | **[slides]** {{ :geospatialanalytics:gsa:lesson_07_-_mobility_models.pdf Collective Mobility models}}  **[paper]** [[https://arxiv.org/pdf/1710.00004.pdf Human Mobility: Models and Applications]] (Section 4.2); **[paper]** [[https://www.nature.com/articles/nature10856|A universal model for mobility and migration patterns]]; **[paper]** [[https://arxiv.org/abs/1506.04889|Systematic comparison of trip distribution laws and models]]: **[paper]** [[https://www.nature.com/articles/s41467-021-26752-4|A Deep Gravity model for mobility flows generation]] | L. Pappalardo | +|17. |**16/11**, 14:00-16:00, FIB I-LAB| Mobility Models II | | | GMauro| 
-|18. |18.11  16:00-18:00 Fib M1| Practical session on Collective Mobility Laws and Models |   L. Pappalardo, G. Mauro | +|18. |**20/11**11:00-13:00, FIB I-LAB| Practical session on Mobility Laws and Models | | | G. Mauro| 
-|19. |24.11  16:00-18:00 Fib L1| Mobility Pattern Mining I | **[slides]** {{ :geospatialanalytics:gsa:08_-_mobility_patterns_25_26.pdf |Mobility Patterns}} | **[paper]** [[https://arxiv.org/abs/2303.05012v2|Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study]], Sections 1-2-3 | M. Nanni | +|19. |**23/11**, 14:00-16:00, FIB I-LAB| Mobility Pattern Mining I | | | M. Nanni| 
-|20. |25.11  16:00-18:00 Fib M1| Mobility Pattern Mining II |  **[paper]** [[https://dl.acm.org/doi/10.1145/1183471.1183479|Computing longest duration flocks in trajectory data]], Section 1; **[paper]** [[https://arxiv.org/abs/1002.0963v1|Discovery of Convoys in Trajectory Databases]], Section 3; **[paper]** [[https://doi.org/10.1007/11535331_21|On Discovering Moving Clusters in Spatio-temporal Data]], Sections 1, 2, 4.1; **[paper]** [[https://dl.acm.org/doi/10.1145/1281192.1281230|Trajectory pattern mining]]Section 3; **[paper]** [[https://arxiv.org/abs/2003.0135|DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis]], Section II | M. Nanni | +|20. |**27/11**, 11:00-13:00, FIB I-LAB| Mobility Pattern Mining II | | | MNanni| 
-|21. |01.12  16:00-18:00 Fib L1| Next-location prediction | **[slides]** {{ :geospatialanalytics:gsa:09_-_location_prediction_25_26.pdf |Next Location Prediction}} | **[paper]** [[https://ieeexplore.ieee.org/document/8570749|Mobility PredictionA Survey on State-of-the-Art Schemes and Future Applications]]Sections I-IV; **[book chapter]** [[https://web.stanford.edu/~jurafsky/slp3/A.pdf|Speech and Language Processing]], Chapter A Hidden Markov Models; **[paper]** {{:geospatialanalytics:gsa:mcleod_1996_do_fielders_know_where_to_go_to_catch_the_ball_or_only_how_to_get_there.pdf |Do Fielders Know Where to Go to Catch the Ball...?}} | Nanni +|21. |**30/11**, 14:00-16:00, FIB I-LAB| Next-location prediction | | | MNanni| 
-|22. |02.12  16:00-18:00 Fib M1| Practical session on Mobility Pattern Mining and Next-location Prediction |  | **[library doc]** [[https://hmmlearn.readthedocs.io/en/latest/|HMMlearn library]] M. Nanni, G. Mauro |+|22. |**04/11**, 11:00-13:00FIB I-LABImpact of preprocessing on next-location prediction | | KSmolak
 +|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| 
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 ==== Previous Geospatial Analytics websites ==== ==== Previous Geospatial Analytics websites ====
 +  * [[geospatialanalytics:gsa:gsa2025|]]
   * [[geospatialanalytics:gsa:gsa2024|]]   * [[geospatialanalytics:gsa:gsa2024|]]
   * [[geospatialanalytics:gsa:gsa2023|]]   * [[geospatialanalytics:gsa:gsa2023|]]
   * [[geospatialanalytics:gsa:gsa2022|]]   * [[geospatialanalytics:gsa:gsa2022|]]
  
geospatialanalytics/gsa/start.1766933566.txt.gz · Ultima modifica: da Luca Pappalardo

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