Modeling Turkey National 2D Geo-Data Model as a CityGML Application Domain Extension in UML

Abstract

This paper presents the generation of the 3D national geo-data model of Turkey, which is compatible with the international OGC CityGML Encoding Standard. We prepare an ADE named CityGML-TRKBIS that is produced by extending existing thematic modules of CityGML according to TRKBIS needs. All thematic data groups in TRKBIS geo-data model have been remodeled in order to generate the national large scale 3D geo-data model for Turkey. Within the concept of reference model-driven framework for modelling CityGML ADEs in UML, the first step is conceptual mapping between CityGML and national information model. To test all stages of the framework for Urban GIS Turkey, Building data theme is mapped with CityGML-Building thematic model. All classes, attributes, code lists and code list values of the TRKBIS is tried to be mapped with related CityGML concept. New classes, attributes and code list values that will be added to CityGML Building model are determined based on this conceptual mapping. Finally the new model for CityGML-TRKBIS.BI is established in UML with subclassing of the related CityGML classes. This study provides new insights into 3D applications in Turkey. The generated 3D geo-data model for building thematic class will be used as a common exchange format that meets 2D, 2.5D and 3D implementation needs at national level.

Keywords

• CityGML,3D Building Model,3D Data Modeling,3D Geo-Information,3D Standards

References

1. Aydinoglu, A.C., 2009. Developing geo-data exchange model for Turkey. Ph.D. Thesis. Karadeniz Technical University, Applied Sciences Institute,Trabzon, Turkey.
2. Bahu, J.-M. and Nouvel, R., 2015. Development of the CityGML ADE Energy. In INSPIRE Geospatial World Forum (GWF) 2015.
3. Becker, T., Nagel, C. and Kolbe, T.H., 2011. Integrated 3D Modeling of Multi-utility Networks and Their Interdependencies for Critical Infrastructure Analysis. Archives, XXXVIII, pp.1–20.
4. Becker, T., Nagel, C. and Kolbe, T.H., 2013. Semantic 3D modeling of multi-utility networks in cities for analysis and 3D visualization. Lecture Notes in Geoinformation and Cartography, pp.41–62.
5. Büyüksalih, İ., Alkan, M. and Gazioğlu, C. (2017). Design for 3D city model management using remote sensing and GIS: A case study for the Golden Horn in Istanbul, Turkey, Journal of Coastal Conservation (in Press).
6. Czerwinski, A. et al., 2007. Sustainable SDI for EU noise mapping in NRW – best practice for INSPIRE *. International Journal of Spatial Data Infrastructures Research, 2(July), pp.90–111.
7. Çaǧdaş, V., 2012. An application domain extension to citygml for immovable property taxation: A Turkish case study. International Journal of Applied Earth Observation and Geoinformation, 21(1), pp.545–555.
8. Gazioğlu, C. Burak, S.Z., Alpar, B., Türker, A. and Barut I.F. 2010 Foreseeable impacts of sea level rise on the southern coast of the Marmara Sea (Turkey), Water Policy 12 (6), 932-943

9. GD-GIS, 2012a. TRKBISS conceptual model components: concept, application and technical components, Ankara.
10. GD-GIS, 2012b. TRKBISS data themes descriptive document, Ankara.
11. INSPIRE, 2013. D2.8.III.2 Data specification on buildings-technical guidelines, INSPIRE Thematic Working Group Buildings, European Comission Joint Research Center.
12. Kaden, R. and Kolbe, T.H., 2014. Simulation-Based Total Energy Demand Estimation of Buildings using Semantic {3D} City Models. International Journal of 3-D Information Modeling, 3(2), pp.35–53.
13. Kaya., H. and Gazioğlu, C. 2015. Real Estate Development at Landslides, International Journal of Environment and Geoinformatics Vol:2(1), 62-71.
14. Krüger, T. and Kolbe, T., 2012. Building analysis for urban energy planning using key indicators on virtual 3D city models—the energy atlas of Berlin, XXII ISPRS Congress. Melbourne, pp. 145–150.
15. Müller, P. et al., 2006. Procedural modeling of buildings. ACM Trans. Graph.,25, 614–623.
16. Nouvel, R. et al., 2015. Genesis of the CityGML energy ade. In CISBAT 2015. Lausanne, Switzerland, pp. 931–936. OGC, 2014. Modelling an application domain extension of citygml in UML: OGC Best Practice Paper L. Van den Brink, J. Stoter, and S. Zlatanova, eds.
17. OGC, 2012. Open Geospatial Consortium City Geography Markup Language (CityGML) Encoding Standard Version 2.0.
18. Prandi, F. et al., 2013. Using citygml to deploy smart-city services for urban ecosystems. In International Archieves of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 29th Urban Data Management Symposium. pp. 29–31.
19. Stoter, J. et al., 2011. A generic approach for 3D SDI in the Netherlands. In Joint ISPRS Workshop on 3D City Modelling and Applications and 6th 3D GeoInfo. Wuhan, China, pp. 1–22.
20. Stoter, J. et al., 2013. Establishing and implementing a national 3D standard in The Netherlands. Photogramm.—Fernerkund.—Geoinf. 2013, 381–392
21. Wate, P. and Saran, S., 2015. Implementation of CityGML energy application domain extension (ADE) for integration of urban solar potential indicators using object-oriented modelling approach. Geocarto International, 6049(May), pp.1–19.
22. Wilson, D., 2011. Noise Domain Model: Measurements, Modelling and Mapping.
23. Wilson, D., Parslow, P. and Kraut, V., 2011. CityGML– Time Dependent Variables ADE.
24. Van Den Brink, L., Stoter, J. and Zlatanova, S., 2011. Establishing a National 3D Standard Compliant to CityGML : good practice of a national 3D SDI. , (June).
25. Van den Brink, L., Stoter, J. and Zlatanova, S., 2012. Establishing a national standard for 3D topographic data compliant to CityGML. International Journal of Geographical Information Science, pp.1–22.
26. Van den Brink, L., Stoter, J. and Zlatanova, S., 2013. UML-Based approach to developing a citygml application domain extension. Transactions in GIS, 17(6), pp.920–942.