| Entrambe le parti precedenti la revisioneRevisione precedenteProssima revisione | Revisione precedente |
| geospatialanalytics:gsa:start [05/10/2026 alle 15:20 (4 settimane fa)] – [Calendar] Mirco Nanni | geospatialanalytics:gsa:start [01/11/2026 alle 08:38 (22 ore fa)] (versione attuale) – [News and communications] Luca Pappalardo |
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| | ====== News and communications ====== |
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| | * The exam session of __November 5th, 2026 will be at 9:30 am in room C29 (aula Faedo)__ at [[https://hiis.isti.cnr.it/images/how_to_reach_room_c29.jpg| ISTI-CNR]]. For the identification, the students are required to show the virtual badge from their smartphone. |
| | * On **__Friday, October 30th__**, there will be **__no lesson__** (because of the general strike). That lesson is postponed to **__Monday, November 2nd__** |
| | * On **__Friday, October 16th__**, there will be **__no lesson__** (because of UnipiOrienta). |
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| |3. |**25/09**, 11:00-13:00, FIB I-LAB| Fundamental Concepts II| **[Slides]** {{ :geospatialanalytics:gsa:lesson_02_-_fundamental_concepts_-_part_ii_-_26_27.pdf | Fundamental Concepts Part II}} | **[paper]** [[https://arxiv.org/abs/2012.02825 | A survey of deep learning for human mobility]], Section 2.1, Appendix A; | L. Pappalardo| | |3. |**25/09**, 11:00-13:00, FIB I-LAB| Fundamental Concepts II| **[Slides]** {{ :geospatialanalytics:gsa:lesson_02_-_fundamental_concepts_-_part_ii_-_26_27.pdf | Fundamental Concepts Part II}} | **[paper]** [[https://arxiv.org/abs/2012.02825 | A survey of deep learning for human mobility]], Section 2.1, Appendix A; | L. Pappalardo| |
| |4. |**28/09**, 14:00-16:00, FIB I-LAB| Practical session on Fundamental Concepts | **[code]** {{ :geospatialanalytics:gsa:lesson1.zip | Notebook}} | | G. Mauro| | |4. |**28/09**, 14:00-16:00, FIB I-LAB| Practical session on Fundamental Concepts | **[code]** {{ :geospatialanalytics:gsa:lesson1.zip | Notebook}} | | G. Mauro| |
| |5. |**02/10**, 11:00-13:00, FIB I-LAB| Spatial Data Analysis I | **[slides]** {{ :geospatialanalytics:gsa:lesson_03_-_spatial_data_analysis_-_part_1_2026.pdf |Spatial Data Analysis I}} | **[Lecture notes]** To be uploaded soon, **[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 | **[slides]** {{ :geospatialanalytics:gsa:lesson_03_-_spatial_data_analysis_-_part_1_2026.pdf |Spatial Data Analysis I}} | **Main material:** **[Lecture notes]** [[https://unipiit.sharepoint.com/:b:/s/a__td_72112/IQACiFhdVpBJSqWDaiJtZYiIAS_n_xEil1ItHjvMRczQNLo?e=M3xrHv|Elements of spatial data representation and analysis]] Sect. 1-3, **Complementary material:** **[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| |
| |6. |**05/10**, 14:00-16:00, FIB I-LAB| Spatial Data Analysis II | **[slides]** {{ :geospatialanalytics:gsa:lesson_03_-_spatial_data_analysis_-_part_2_2026.pdf |Spatial Data Analysis II}} | **[Lecture notes]** To be uploaded soon, **[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 | **[slides]** {{ :geospatialanalytics:gsa:lesson_03_-_spatial_data_analysis_-_part_2_2026.pdf |Spatial Data Analysis II}} | **Main material:** **[Lecture notes]** [[https://unipiit.sharepoint.com/:b:/s/a__td_72112/IQACiFhdVpBJSqWDaiJtZYiIAS_n_xEil1ItHjvMRczQNLo?e=M3xrHv|Elements of spatial data representation and analysis]] Sect. 4-6, **Complementary material:** **[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; **[paper]** [[ https://doi.org/10.1007/s10619-019-07278-7 | Spatial co-location patterns]], Sect. 3.1 | M. Nanni| |
| |7. |**09/10**, 11:00-13:00, FIB I-LAB| Practical session on Spatial Data Analysis | | | G. Mauro| | |7. |**09/10**, 11:00-13:00, FIB I-LAB| Practical session on Spatial Data Analysis | **[code]** {{ :geospatialanalytics:gsa:spatial_data.zip |Notebook}} | | G. Mauro| |
| |8. |**12/10**, 14:00-16:00, FIB I-LAB| Mobility Data I | | | L. Pappalardo| | |8. |**12/10**, 14:00-16:00, FIB I-LAB| Mobility Data I | **[slides]** {{ :geospatialanalytics:gsa:mobility_data_i.pdf | Mobility Data I}} | **[paper]** [[ https://arxiv.org/abs/2012.02825 | A survey of deep learning for human mobility ]], Appendix C.1, C.2, C.3; | L. Pappalardo| |
| |9. |**16/10**, 11:00-13:00, FIB I-LAB| Mobility Data II | | | L. Pappalardo| | |-|**16/10** | NO LESSON (for Unipi-Orienta) | | | | |
| |10. |**19/10**, 14:00-16:00, FIB I-LAB| Practical session on Mobility Data | | | G. Mauro| | |9. |**19/10**, 11:00-13:00, FIB I-LAB| Mobility Data II | **[slides]** {{ :geospatialanalytics:gsa:mobility_data_ii.pdf | Mobility data II}} | **[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| |
| |11. |**23/10**, 11:00-13:00, FIB I-LAB| Preprocessing I | | | M. Nanni| | |10. |**23/10**, 14:00-16:00, FIB I-LAB| Practical session on Mobility Data | | | G. Mauro| |
| |12. |**26/10**, 14:00-16:00, FIB I-LAB| Preprocessing II | | | M. Nanni| | |11. |**26/10**, 11:00-13:00, FIB I-LAB| Preprocessing I | **[slides]** {{ :geospatialanalytics:gsa:lesson_05_-_preprocessing_2026.pdf |Data Preprocessing}} | **Main material:** **[Textbook Chapter]** Data Preprocessing; **Complementary material:** **[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| |
| |13. |**30/10**, 11:00-13:00, FIB I-LAB| Individual Mobility Laws I | | | L. Pappalardo| | |12. |**02/11**, 14:00-16:00, FIB I-LAB| Preprocessing II | | | M. Nanni| |
| |14. |**06/11**, 11:00-13:00, FIB I-LAB| Practical session on Preprocessing | | | G. Mauro| | |13. |**06/11**, 11:00-13:00, FIB I-LAB| Individual Mobility Laws I | | | L. Pappalardo| |
| |15. |**09/11**, 14:00-16:00, FIB I-LAB| Individual Mobility Laws II | | | L. Pappalardo| | |14. |**09/11**, 11:00-13:00, FIB I-LAB| Practical session on Preprocessing | | | G. Mauro| |
| |16. |**13/11**, 11:00-13:00, FIB I-LAB| Mobility Models I | | | G. Mauro| | |15. |**13/11**, 14:00-16:00, FIB I-LAB| Individual Mobility Laws II | | | L. Pappalardo| |
| |17. |**16/11**, 14:00-16:00, FIB I-LAB| Mobility Models II | | | G. Mauro| | |16. |**16/11**, 11:00-13:00, FIB I-LAB| Mobility Models I | | | G. Mauro| |
| |18. |**20/11**, 11:00-13:00, FIB I-LAB| Practical session on Mobility Laws and Models | | | G. Mauro| | |17. |**20/11**, 14:00-16:00, FIB I-LAB| Mobility Models II | | | G. Mauro| |
| |19. |**23/11**, 14:00-16:00, FIB I-LAB| Mobility Pattern Mining I | | | M. Nanni| | |18. |**23/11**, 11:00-13:00, FIB I-LAB| Practical session on Mobility Laws and Models | | | G. Mauro| |
| |20. |**27/11**, 11:00-13:00, FIB I-LAB| Mobility Pattern Mining II | | | M. Nanni| | |19. |**27/11**, 14:00-16:00, FIB I-LAB| Mobility Pattern Mining I | | | M. Nanni| |
| |21. |**30/11**, 14:00-16:00, FIB I-LAB| Next-location prediction | | | M. Nanni| | |20. |**30/11**, 11:00-13:00, FIB I-LAB| Mobility Pattern Mining II | | | M. Nanni| |
| |22. |**04/12**, 11:00-13:00, FIB I-LAB| Impact of preprocessing on next-location prediction | | | K. Smolak| | |21. |**04/12**, 14:00-16:00, FIB I-LAB| Next-location prediction | | | M. Nanni| |
| |23. |**11/12**, 11:00-13:00, FIB I-LAB| Practical session on Mobility Pattern Mining and Next-location Prediction | | | G. Mauro| | |22. |**11/12**, 11:00-13:00, FIB I-LAB| Impact of preprocessing on next-location prediction | | | K. Smolak| |
| |24. |**14/12**, 14:00-16:00, FIB I-LAB| Location-based recommender systems | | | G. Mauro| | |23. |**14/12**, 11:00-13:00, FIB I-LAB| Practical session on Mobility Pattern Mining and Next-location Prediction | | | G. Mauro| |
| | |24. |**18/12**, 14:00-16:00, FIB I-LAB| Location-based recommender systems | | | G. Mauro| |
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