Third International Workshop on "Geographical Analysis, Urban Modeling, Spatial Statistics"

1. 3D LIDAR data application for urban morphogenesis multi-agent vector based geosimulation Vitor Silva, Dr. Corinne Plazanet, Cláudio Carneiro, Pr. François Golay 2008 ICCSA conference GEOG-AN-MOD session 2008 July the 2 nd

5. I am a new villa, I want to be close to school and have view to lake SCHOOL SCHOOL Possible locations Here !

6. Satisfaction degree of an agent DS = Weighted average of satisfaction criteria

7. Construction of 3D urban surface model 3D urban surface model LIDAR data , 6-8 pts / m2 Vertical resolution: 15 cm, Horizontal resolution: 20 cm Normalised data height = terrain – building elevation Cadastre (vectorial building footprints) D.T.M. Building model LIDAR roof coverage good insufficient

9. Example of visibility analysis ~ 12 kms ~ 2,5 kms Constrained to narrow angle, due to heavy time consuming computation For each point, 2-5 minutes computation (3’000’000 pixels) Pilot area: 500 × 500 meters

10. Results Simulation without visibility parameter Simulation with visibility parameter Lake Geneva Lake Geneva Lake Geneva

12. Implementation Shp files LIDAR data -> TerraSan Programming -> MATLAB Spatial Analysis -> Manifold GIS Visibility and sunshine analysis

14. Thank you for your attention !

15. Cognitive agents Objects of the environment UML diagram

16. Satisfaction degree (influences)

17. Level of Detail (LOD) definition for 3D city models [aus: Gröger, Kolbe & al.] More resolution, details cadastre, airborne LiDAR laser / LiDAR airborne LiDAR, photogrammetry Photogrammetry and ground LiDAR (building façades), hybrid methods ground LiDAR LIDAR: airborne LIght Detection And Ranging

18. Construction of 3D urban surface model

19. Visibility analysis from top and ground surfaces

20. Visibility analysis from side surfaces

21. … from side surfaces Evaluate the potential height of a future new building …