Individual movements and geographical data mining. Clustering algorithms for highlighting hotspots in personal navigation routes.
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Individual movements and geographical data mining. Clustering algorithms for highlighting hotspots in personal navigation routes. Giuseppe Borruso, Gabriella Schoier - University of Trieste
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Individual movements and geographical data mining. Clustering algorithms for highlighting hotspots in personal navigation routes.
- 1. Individual movements and geographical data mining. Clustering algorithms for highlighting hotspots in personal navigation routes. Giuseppe Borruso, Gabriella Schoier Department of Economic, Business, Mathematic and Statistic Sciences - DEAMS, University of Trieste, Via Valerio, 4/1, 34127 Trieste, Italy {gabriella.schoier,giuseppe.borruso}@econ.units.it Geographical Analysis, Urban Modeling, Spatial Statistics GEOG-AN-MOD 11
- 9. A data sample: October data (5, 6, 7, 8, 11, 12)
- 10. Anticipation – density analysis on different routes & days
- 11. A data sample: October data (5, 6, 7, 8, 11, 12) Sample POIs University campus Gym Home (2) Home (1) Nursery
- 14. Results from DBSCAN (right) and KDE (left)
- 18. University campus – entrance and bus stop
- 19. Junction – state roads
- 20. Nursery – end of the journey
- 22. Thank you for your attention! Questions?