De Subcommissie Geo-Informatie Modellen (GIM) van de NCG heeft in samenwerking met Geo Information Nederland (GIN) op maandag 14 november 2005 de studiedag 'Geo-information and computational geometry' georganiseerd.
De studiedag is gehouden in de Blauwe Zaal van het Wentgebouw ('De Ponskaart') van de Universiteit Utrecht. Voertaal van de studiedag was Engels.
De voordrachten van de studiedag zijn uitgegeven in de publicatie 'Geo-information and computational geometry' door Peter J.M. van Oosterom and Marc. J. van Kreveld (Editors), Delft, 2006. 62 pagina's. ISBN-13: 978 90 6132 299 3. ISBN-10: 90 6132 299 5. € 5,00
The main purpose was to show several different aspects related to spatial data structures and algorithms, which are normally not directly visible to the GIS end-users. The seminar was intended for a more technology-oriented audience, though the presenters are asked to find right balance not explaining all (basic) details and presenting the technology in a comprehensible manner.
Programma
10.30 Arrival, coffee
11.00 Welcome, Peter van Oosterom (TUD)
11.05 Computational geometry: Its objectives and relation to GIS, Marc van Kreveld (UU)
11.50 I/O- and cache-efficient agorithms for spatial data, Mark de Berg (TUE)
12.35 Lunch
13.30 Quad-edges and Euler operators for automatic building extrusion using LiDAR data, Chris Gold (Glamorgan, UK)
14.15 Algorithms for cartograms and other geo-information visualization techniques, Bettina Speckmann (TUE)
15.00 Break, thea, coffee
15.30 Constrained tetrahedral models and update algorithms for topographic data, Friso Penninga (TUD)
16.15 PCRaster developments, 3D map algebra and error propagation, Derek Karssenberg (UU)
17.00 Drinks
Abstracts
Hand-outs en presentaties (pdf's)
- Computational geometry: Its objectives and relation to GIS, Marc van Kreveld (UU)
- I/O- and cache-efficient agorithms for spatial data, Mark de Berg (TUE)
- Constrained tetrahedral models and update algorithms for 3D topography, Friso Penninga (TUD)
- Dynamic modelling in GIS: modelling in three spatial dimensions and error propagation modelling, Derek Karssenberg (UU)