Information on CityGML
Tutorials on 3DCityDB and CityGML
Have a look at presentations about the 3DCityDB and the browser-based 3D geovisualization. The presentations were performed in 2016 by Zhihang Yao and Kanishk Chaturvedi and are freely available here, including the course materials.
Enjoy presentations about CityGML and Urban Information Modeling, the 3D City Database, and the Importer/Exporter as an online lecture, provided by the TU Delft. Start the stream here
Please note that these Podcasts have been produced in the year 2010 by the Institute for Geodesy and Geoinformation Science at Technical University Berlin. While we had the release of CityGML 2.0 later in 2012 the contents of the Podcasts are still up-to-date. The production of these Podcasts was special, because we used a synthetic voice that spoke a transcribed presentation I gave earlier on these topics. This transcription made it possible that in case of required updates and changes to the contents, I do not have to speak them personally in order to update the Podcasts. A paper from Robert Kaden, Gerhard König, and Thomas H. Kolbe was published about this in 2010 (click here to see it)
– Thomas H. Kolbe
Introduction - Urban Information Modelling
The main motivation for the development of CityGML was not to create just another 3D exchange format, but has its motivation in the field of urban information modeling. 3D visualizations of spatial objects are employed in an increasing number of applications from the areas of (urban) planning, city marketing, tourism, and facility management. 3D city and landscape models reveal a high information potential for a variety of application fields.
Introduction - Geography Markup Language (GML)
CityGML is a common information model for the representation of 3D urban objects. It defines the classes and relations for the most relevant topographic objects in cities and regional models with respect to their geometrical, topological, semantical and appearance properties. Included are generalization hierarchies between thematic classes, aggregations, relations between objects, and spatial properties. These thematic information go beyond graphic exchange formats and allow to employ virtual 3D city models for sophisticated analysis tasks in different application domains like simulations, urban data mining, facility management, and thematic inquiries.