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--- geospatialanalytics:gsa:start [14/10/2026 alle 13:07 (3 settimane fa)] – [News and communications] Luca Pappalardo
+++ geospatialanalytics:gsa:start [01/11/2026 alle 08:38 (36 ore fa)] (versione attuale) – [News and communications] Luca Pappalardo
@@ Linea 93: / Linea 93: @@
 ====== News and communications ======
-On **__Friday, October 16th__**, there will be **__no lesson__** (because of UnipiOrienta).
+  * 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).
@@ Linea 106: / Linea 108: @@
 |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 | **[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|
 |-|**16/10** | NO LESSON (for Unipi-Orienta) | | | |
-|9. |**19/10**, 11:00-13:00, FIB I-LAB| Mobility Data II | | | L. Pappalardo|
+|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|
 |10. |**23/10**, 14:00-16:00, FIB I-LAB| Practical session on Mobility Data | | | G. Mauro|
-|11. |**26/10**, 11:00-13:00, FIB I-LAB| Preprocessing I | | | 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|
-|12. |**39/10**, 14:00-16:00, FIB I-LAB| Preprocessing II | | | M. Nanni|
+|12. |**02/11**, 14:00-16:00, FIB I-LAB| Preprocessing II | | | M. Nanni|
 |13. |**06/11**, 11:00-13:00, FIB I-LAB| Individual Mobility Laws I | | | L. Pappalardo|
 |14. |**09/11**, 11:00-13:00, FIB I-LAB| Practical session on Preprocessing | | | G. Mauro|