| Entrambe le parti precedenti la revisioneRevisione precedenteProssima revisione | Revisione precedente |
| geospatialanalytics:gsa:start [28/12/2025 alle 14:50 (3 settimane fa)] – added chapter 4 of mobility book Luca Pappalardo | geospatialanalytics:gsa:start [08/01/2026 alle 10:25 (8 giorni fa)] (versione attuale) – Luca Pappalardo |
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| __**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**__ |
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| | ====== News and communications ====== |
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| | ** Exams sessions**: |
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| | * 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. |
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| ====== Learning goals ====== | ====== Learning goals ====== |
| ^ ^ 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. |**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 | |
| |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. |**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]]; | 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. |**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; | 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. |**30.09** 16:00-18:00 Fib M1| Practical session on Fundamental Concepts | **[code]**{{ :geospatialanalytics:gsa:gsa1.zip | Notebook}} | | L. Pappalardo, G. Mauro | |
| |5. |**06.10** 16:00-18:00 Fib L1| Spatial Data Analysis I | **[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. |**06.10** 16:00-18:00 Fib L1| Spatial Data Analysis I | **[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 | |
| |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. |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 | |
| |11. |27.10 16:00-18:00 Fib L1| Preprocessing I | **[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. |27.10 16:00-18:00 Fib L1| Preprocessing I | **[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 | |
| |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. |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 | | |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 | **[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. |04.11 16:00-18:00 Fib M1| Individual 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| |
| |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. |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 | |
| |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 Prediction: A 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. |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 Prediction: A 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 | |
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| |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. |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 | |
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