Abstract
CityGML is the most important international standard used to model cities and landscapes in 3D with extensive semantics. Compared to BIM standards such as IFC, CityGML models are usually less detailed but they cover a much greater spatial extent. They are also available in any of five standardized levels of detail. CityGML serves as an exchange format and as a data source for visualizations, either in dedicated applications or in a web browser. It can also be used for a wide range of spatial analyses, such as visibility studies and solar potential. Ongoing research will improve the integration of BIM standards with CityGML, making improved data exchange possible throughout the life-cycle of urban and environmental processes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
- 3.
- 4.
- 5.
- 6.
- 7.
- 8.
- 9.
- 10.
- 11.
- 12.
References
3D City Database. (2017). (3D city DB: The CityGML database). Retrieved from http://www.3dcitydb.org/
Agugiaro, G. (2016). Energy planning tools and CityGML-based 3D virtual city models: Experiences from Trento (Italy). Applied Geomatics, 8(1), 41–56.
Amirebrahimi, S., Rajabifard, A., Mendis, P., & Ngo, T. (2016). A BIM-GIS integration method in support of the assessment and 3D visualisation of flood damage to a building. Journal of Spatial Science, 61(2), 317–350.
Amorim, J. H., Valente, J., Pimentel, C., Miranda, A. I., & Borrego, C. (2012). Detailed modelling of the wind comfort in a city avenue at the pedestrian level. In: Leduc, T., Moreau, G., Billen, R. (Eds.), Usage, usability, and utility of 3D city models – European COST action TU0801 (pp. (03,008)1–6). EDP Sciences, Nantes.
Arroyo Ohori, K., Ledoux, H., & Stoter, J. (2015). A dimension-independent extrusion algorithm using generalised maps. International Journal of Geographical Information Science, 29(7), 1166–1186.
Biljecki, F., Stoter, J., Ledoux, H., Zlatanova, S., & Çöltekin, A. (2015). Applications of 3D city models: State of the art review. ISPRS International Journal of Geo-Information, 4(4), 2842–2889.
Biljecki, F., Ledoux, H., & Stoter, J. (2016). An improved LOD specification for 3D building models. Computers, Environment and Urban Systems, 59, 25–37.
Biljecki, F., Heuvelink, G. B. M., Ledoux, H., & Stoter, J. (2018). The effect of acquisition error and level of detail on the accuracy of spatial analyses. Cartography and Geographic Information Science, 45(2), 156–176. https://doi.org/10.1080/15230406.2017.1279986
Boeters, R., Arroyo Ohori, K., Biljecki, F., & Zlatanova, S. (2015). Automatically enhancing CityGML LOD2 models with a corresponding indoor geometry. International Journal of Geographical Information Science, 29(12), 2248–2268.
Brasebin, M., Perret, J., Mustière, S., & Weber, C. (2012). Measuring the impact of 3D data geometric modeling on spatial analysis: Illustration with Skyview factor. In: T. Leduc, G. Moreau, & R. Billen (Eds.), Usage, usability, and utility of 3D city models – European COST action TU0801 (pp. (02,001)1–16). EDP Sciences, Nantes.
Bremer, M., Mayr, A., Wichmann, V., Schmidtner, K., & Rutzinger, M. (2016). A new multi-scale 3D-GIS-approach for the assessment and dissemination of solar income of digital city models. Computers, Environment and Urban Systems, 57, 144–154.
Çağdaş, V. (2013). An application domain extension to CityGML for immovable property taxation: A Turkish case study. International Journal of Applied Earth Observation and Geoinformation, 21, 545–555.
Chaturvedi, K., Yao, Z., & Kolbe, T. H. (2015). Web-based exploration of and interaction with large and deeply structured semantic 3D city models using html5 and webgl. In Wissenschaftlich-Technische Jahrestagung der DGPF und Workshop on Laser Scanning Applications (Vol. 3).
Donkers, S., Ledoux, H., Zhao, J., & Stoter, J. (2016). Automatic conversion of IFC datasets to geometrically and semantically correct CityGML LOD3 buildings. Transactions in GIS, 20(4), 547–569.
El-Mekawy, M., Östman, A., & Hijazi, I. (2012). A unified building model for 3D urban GIS. ISPRS International Journal of Geo-Information, 1(3), 120–145.
Geiger, A., Benner, J., & Haefele, K. H. (2015). Generalization of 3D IFC building models. In M. Breunig, M. Al-Doori, E. Butwilowski, P. V. Kuper, J. Benner, & K. H. Haefele (Eds.), 3D geoinformation science (pp. 19–35). Cham: Springer.
Gröger, G., & Plümer, L. (2012). CityGML – interoperable semantic 3D city models. ISPRS Journal of Photogrammetry and Remote Sensing, 71, 12–33.
Haala, N., & Kada, M. (2010). An update on automatic 3D building reconstruction. ISPRS Journal of Photogrammetry and Remote Sensing, 65(6), 570–580.
Kim, K., & Wilson, J. P. (2014). Planning and visualising 3D routes for indoor and outdoor spaces using CityEngine. Journal of Spatial Science, 60(1), 179–193.
Kolbe, T. H. (2009). Representing and exchanging 3D city models with CityGML. In: S. Zlatanova & J. Lee (Eds.), 3D geo-information sciences (pp. 15–31). Berlin/Heidelberg: Springer.
Ledoux, H. (2013). On the validation of solids represented with the international standards for geographic information. Computer-Aided Civil and Infrastructure Engineering, 28(9), 693–706.
Mao, B., & Ban, Y. (2011). Online visualization of 3D city model using CityGML and X3DOM. Cartographica: The International Journal for Geographic Information and Geovisualization, 46(2), 109–114.
Monien, D., Strzalka, A., Koukofikis, A., Coors, V., & Eicker, U. (2017). Comparison of building modelling assumptions and methods for urban scale heat demand forecasting. Future Cities and Environment, 3(2). https://doi.org/10.1186/s40984-017-0025-7
Nouvel, R., Kaden, R., Bahu, J. M., Kaempf, J., Cipriano, P., Lauster, M., Benner, J., Munoz, E., Tournaire, O., & Casper, E. (2015). Genesis of the CityGML energy ADE. In: J. L. Scartezzini (Ed.), Proceedings of the International Conference on CISBAT 2015 Future Buildings and Districts – Sustainability from Nano to Urban Scale, LESO-PB, EPFL (Lausanne) (pp. 931–936).
Nouvel, R., Zirak, M., Coors, V., & Eicker, U. (2017). The influence of data quality on urban heating demand modeling using 3D city models. Computers, Environment and Urban Systems, 64, 68–80.
OGC. (2012). OGC geography markup language (GML) – Extended schemas and encoding rules 3.3.0. Open Geospatial Consortium.
OGC. (2016). OGC CityGML quality interoperability experiment. Open Geospatial Consortium inc., document OGC 16-064r1.
Open Geospatial Consortium. (2012). OGC city geography markup language (CityGML) encoding standard 2.0.0. Technical report.
Pedrinis, F., Morel, M., & Gesquiére, G. (2015). Change detection of cities. In M. Breunig, M. Al-Doori, E. Butwilowski, P. V. Kuper, J. Benner, & K. H. Haefele (Eds.), 3D geoinformation science (pp. 123–139). Cham: Springer.
Previtali, M., Barazzetti, L., Brumana, R., Cuca, B., Oreni, D., Roncoroni, F., & Scaioni, M. (2014). Automatic façade modelling using point cloud data for energy-efficient retrofitting. Applied Geomatics, 6(2), 95–113.
Prieto, I., Izkara, J. L., & del Hoyo, F. J. D. (2012). Efficient visualization of the geometric information of CityGML: Application for the documentation of built heritage. In B. Murgante, O. Gervasi, S. Misra, N. Nedjah, A. M. A. C. Rocha, D. Taniar, & B. O. Apduhan (Eds.), International Conference on Computational Science and Its Applications (pp. 529–544). Berlin/Heidelberg: Springer.
Sokolov, I., & Crosby, J. (2011). Utilizing gbXML with AECOsim building designer and speedikon.
Stadler, A., & Kolbe, T. H. (2007). Spatio-semantic coherence in the integration of 3D city models. The ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVI-2/C43, 8.
Steuer, H., Machl, T., Sindram, M., Liebel, L., & Kolbe, T. H. (2015). Voluminator—approximating the volume of 3D buildings to overcome topological errors. In F. Bacao, M. Y. Santos, & M. Painho (Eds.), AGILE 2015 (pp. 343–362). Cham: Springer.
van den Brink, L., Stoter, J., & Zlatanova, S. (2013a). Establishing a national standard for 3D topographic data compliant to CityGML. International Journal of Geographical Information Science, 27(1), 92–113. http://dx.doi.org/10.1080/13658816.2012.667105
van den Brink, L., Stoter, J., & Zlatanova, S. (2013b). UML-based approach to developing a CityGML application domain extension. Transactions in GIS, 17(6), 920–942.
van Walstijn, L. (2015). Requirements for an integral testing framework of CityGML instance documents. Master’s thesis, Institute of Geodesy and Geoinformation Science, Technische Universitaet, Berlin.
Vanclooster, A., Van de Weghe, N., & De Maeyer, P. (2016). Integrating indoor and outdoor spaces for pedestrian navigation guidance: A review. Transactions in GIS, 20(4), 491–525.
Wagner, D., Alam, N., Wewetzer, M., Pries, M., & Coors, V. (2015). Methods for geometric data validation of 3D city models. Int Arch Photogramm Remote Sens Spatial Inf Sci, XL-1-W5, 729–735.
Wrózyński, R., Sojka, M., & Pyszny, K. (2016). The application of GIS and 3D graphic software to visual impact assessment of wind turbines. Renewable Energy, 96, 625–635.
Zucker, G., Judex, F., Blöchle, M., Köstl, M., Widl, E., Hauer, S., Bres, A., & Zeilinger, J. (2016). A new method for optimizing operation of large neighborhoods of buildings using thermal simulation. Energy and Buildings, 125, 153–160.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Arroyo Ohori, K., Biljecki, F., Kumar, K., Ledoux, H., Stoter, J. (2018). Modeling Cities and Landscapes in 3D with CityGML. In: Borrmann, A., König, M., Koch, C., Beetz, J. (eds) Building Information Modeling. Springer, Cham. https://doi.org/10.1007/978-3-319-92862-3_11
Download citation
DOI: https://doi.org/10.1007/978-3-319-92862-3_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-92861-6
Online ISBN: 978-3-319-92862-3
eBook Packages: Computer ScienceComputer Science (R0)