Validation of a CityGML dataset means that one must ensure that it respects the standardised specifications and definitions as given in the OGC City Geography Markup Language (CityGML) Encoding Standard (OGC document 12-019).
In 2014-2015, the OGC ran the CityGML Quality Interoperability Experiment, whose main goals were to define data quality requirements for a general CityGML data specification, to provide recommended implementation guidance for 3D data, and to provide a suite of essential quality checking tools to carry out quality assurance on CityGML data. Its final report is available online.
Six aspects of data quality were identified:
Tools for XML Schema validation, i.e. the GML/XML files against the XSD files of CityGML are readily available and give reliable results. Some generic examples are (which can be used to validate any XML document):
The TU Delft offers a free web-application to validate the schema of a CityGML file, simply upload your file and you get the answer.
CityGML, and GML, use the ISO 19107 geometric primitives for representing the geometry of its objects: a 0D primitive is a
GM_Point, a 1D a
GM_Curve, a 2D a
GM_Surface, and a 3D a
A d-dimensional primitive is built with (d-1)-dimensional primitives, e.g. a
GM_Solid is formed by several
GM_Surfaces, which are formed of several
GM_Curves, which are themselves formed of
While the ISO19107 primitives do not need to be linear or planar, i.e. curves defined by mathematical functions are allowed, CityGML uses a subset of ISO19107, with the following two restrictions: (1)
GM_Curves can only be linear (thus only
LinearRings are used); (2)
GM_Surfaces can only be planar (thus
Polygons are used).
Geometric primitives can be combined into either aggregates or composites.
An aggregate is an arbitrary collection of primitives of the same dimensionality that is simply used to bundle together geometries, it does not prescribe any topological relationships between the primitives.
Multi* in CityGML are an example.
A composite of dimension d is a collection of d-dimensional primitives that form a d-manifold, which is a topological space that is locally like a d-dimensional Euclidean space.
The most relevant example is
CompositeSurface: it is a 2-manifold, or, in other words, a surface embedded in 3D space.
A valid primitive of dimension 3 means that all the lower-dimensional primitives used to represent the primitives are also valid.
The following software allows one to validate the primitives of CityGML:
MultiSurfaces). There is also a simple-to-use web application
To verify whether an implementation is ISO 19107 compliant, the QIE has developed different “unit tests”, that is files that contain one 3D primitive with one error. The unit test files are freely available on this website.
The objects in CityGML can have semantics, for instance each of the surfaces used to represent a building can be a semantic class (
BoundarySurface), which defines its real-world meaning.
Depending on the LOD, a
BoundarySurface in a building can be one of nine classes.
For LOD2 buildings, the 5 possible ones are shown in below.
While it is impossible to validate with 100% certainty the semantic of the surfaces of a building, it is possible to infer it from the orientation of a surface. The QIE used that methodology, and the software CityDoctor implements that method.
Conformance requirements in the CityGML standard describe necessary conditions or restrictions for rules of standard definitions. One example is the following (p.78 of the CityGML v2.0.0 document):
If a building only consists of one (homogeneous) part, it shall be represented by the element Building. However, if a building is composed of individual structural segments, it shall be modelled as a Building element having one or more additional BuildingPart elements
The QIE explored ways to translate such a requirement–stated in natural language–into verifiable functions.
XLinks are extensively used in CityGML files, since they allow us to reuse surfaces. See for instance the page about examples of buildings, and for instance this example. We have noticed that several tools and XML parsers do not resolve XLinks, and thus a valid file could be misinterpreted.
Applications of 3D city models may be affected by inconsistencies in the data. The generic use cases to be explored are the creation and maintenance of CityGML models for national and regional mapping including visualisation, and spatial analysis such as:
One example is that a building is required to have a ground floor to form a solid (which is, surprisingly, not mandatory in CityGML) in order to compute its volume. Another example is to have consistent attributes (e.g. codes) of buildings when estimating their energy demand. Such inconsistency may propagate in errors when the data is used across different software packages.