Differenze

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--- geospatialanalytics:gsa:start [11/09/2025 alle 08:44 (3 settimane fa)] – [Module 2: Mobility Patterns and Laws] Luca Pappalardo
+++ geospatialanalytics:gsa:start [30/09/2025 alle 14:09 (3 giorni fa)] (versione attuale) – [Calendar] Luca Pappalardo
@@ Linea 4: / Linea 4: @@
   * **Luca Pappalardo**
     * [[luca.pappalardo@isti.cnr.it]]
-    * KDD Laboratory, ISTI-CNR, Pisa
+    * KDD Laboratory, ISTI-CNR and Scuola Normale Superiore, Pisa
     * [[http://www-kdd.isti.cnr.it]]
@@ Linea 12: / Linea 12: @@
     * [[http://www-kdd.isti.cnr.it]]
-===Tutors:===
+===Teaching assistants:===
-  * **Giuliano Cornacchia**, PhD student, University of Pisa
+  * **Giuliano Cornacchia**, Postdoc researcher, ISTI-CNR
-  * **Giovanni Mauro**, PhD student, University of Pisa
+  * **Giovanni Mauro**, Postdoc researcher, Scuola Normale Superiore
@@ Linea 55: / Linea 55: @@
     * Spatial Tessellations
     * Flows
-    * **Practice**: Python packages for geospatial analysis (Shapely, GeoPandas, folium, scikit-mobility)
+    * **Practice**
   * Digital spatial and mobility data
     * Mobile Phone Data
@@ Linea 61: / Linea 61: @@
     * Social media data
     * Other data (POIs, Road Networks, etc.)
-    * **Practice**: reading and exploring spatial and mobility datasets in Python
+    * **Practice**
   * Preprocessing mobility data
     * filtering compression
@@ Linea 67: / Linea 67: @@
     * trajectory segmentation
     * trajectory similarity and clustering
-    * **Practice**: data preprocessing with scikit-mobility
+    * **Practice**
 ===== Module 2: Patterns and Laws =====
-  * individual mobility laws/patterns
+  * individual mobility laws
-  * collective mobility laws/patterns
+  * collective mobility laws
-  * Practice: analyze mobility data with Python
+  * mobility pattern mining
+  * **Practice**
-===== Module 3: Predictive and Generative Models =====
+===== Module 3: Models =====
   * Prediction
@@ Linea 84: / Linea 85: @@
     * Trajectory generation
     * Flow generation
-  * Practice: mobility prediction and generation in Python
+  * **Practice**
-===== Module 4: Applications =====
-  * Urban segregation models
-  * Routing and navigation apps
@@ Linea 95: / Linea 93: @@
 ^ ^ Day  ^ Topic ^ Slides/Code  ^ Material ^ Teacher|
-|1. |15.09  16:00-18:00| Introduction to the Course |   |  | 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| Fundamental Concepts I |  |  | 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;  | 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 ====