Evaluation of Topological Consistency in CityGML

Boundary representation models are data models that represent the topology of a building or city model. This leads to an issue in combination with geometry, as the geometric model necessarily has an underlying topology. In order to allow topological queries to rely on the incidence graph only, a new notion of topological consistency is introduced that captures possible topological differences between the incidence graph and the topology coming from geometry. Intersection matrices then describe possible types of topological consistency and inconsistency. As an application, it is examined which matrices can occur as intersection matrices, and how matrices from topologically consistent data look. The analysis of CityGML data sets stored in a spatial database system then shows that many real-world data sets contain many topologically inconsistent pairs of polygons. It was observed that even if data satisfy the val3dity test, they can still be topologically inconsistent. On the other hand, it is shown that the ISO 19107 standard is equivalent to our notion of topological consistency. In the case when the intersection is a point, topological inconsistency occurs because a vertex lies on a line segment. However, the most frequent topological inconsistencies seem to arise when the intersection of two polygons is a line segment. Consequently, topological queries in present CityGML data cannot rely on the incidence graph only, but must always make costly geometric computations if correct results are to be expected.

[1]  Patrick Erik Bradley,et al.  Detection and evaluation of topological consistency in CityGML datasets , 2018 .

[2]  Andreas Donaubauer,et al.  3DCityDB - a 3D geodatabase solution for the management, analysis, and visualization of semantic 3D city models based on CityGML , 2018, Open Geospatial Data, Software and Standards.

[3]  Martin Breunig,et al.  TOPOLOGICALLY CONSISTENT MODELS FOR EFFICIENT BIGGEO-SPATIO-TEMPORAL DATA DISTRIBUTION , 2017 .

[4]  Sanjiang Li,et al.  On Topological Consistency and Realization , 2006, Constraints.

[5]  Branislav Bajat,et al.  Elements of spatial data quality as information technology support for sustainable development planning , 2004 .

[6]  Hugo Ledoux,et al.  Topologically consistent 3D city models obtained by extrusion , 2011, Int. J. Geogr. Inf. Sci..

[7]  Patrick Erik Bradley,et al.  Using the Relational Model to Capture Topological Information of Spaces , 2010, Comput. J..

[8]  Filip Biljecki,et al.  Applications of 3D City Models: State of the Art Review , 2015, ISPRS Int. J. Geo Inf..

[9]  Lutz Plümer,et al.  CityGML – Interoperable semantic 3D city models , 2012 .

[10]  Anders Björner,et al.  Posets, Regular CW Complexes and Bruhat Order , 1984, Eur. J. Comb..

[11]  Filip Biljecki,et al.  THE MOST COMMON GEOMETRIC AND SEMANTIC ERRORS IN CITYGMLDATASETS , 2016 .

[12]  Lutz Plümer,et al.  How to achieve consistency for 3D city models , 2011, GeoInformatica.

[13]  Hugo Ledoux,et al.  val3dity: validation of 3D GIS primitives according to the international standards , 2018, Open Geospatial Data, Software and Standards.