CityGML – Interoperable semantic 3D city models
By D. Lichti. 2012
620 citations recorded by the source corpus.
Subfields: Building and Construction, Geochemistry and Petrology, Geology
View Paper: https://www.semanticscholar.org/paper/757d33363e4ec51b8e1c09b5862943ac24aa9501
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In Building and Construction
In Geochemistry and Petrology
In Geology
Citations in the corpus
- A State-of-the-Art Review on the Integration of Building Information Modeling (BIM) and Geographic Information System (GIS) (2017, background): “Among all the efforts, City Geography Markup Language (CityGML) currently is the most comprehensive standard exchange of urban information in geospatial domain [19].”
- An improved LOD specification for 3D building models (2016, methodology): “5D horizontal polygons with footprint level height and optionally roof level height (Gröger and Plümer, 2012).”
- Location based services: ongoing evolution and research agenda (2018, background): “A number of indoor space models have been developed (Afyouni, Ray, and Claramunt 2017), from 3D building models, such as cityGML (Gröger and Lutz 2012) and Building Information Modelling BIM (Isikdag and Zlatanova 2009), over polygonal approaches (Slingsby and Raper 2008) to network solutions like…”
- Applications of 3D City Models: State of the Art Review (2015, methodology): “We have also examined the CityGML standard [64,65] since it contains some information about the intended uses of the data model.”
- Ten questions on urban building energy modeling (2020, background): “CityGML is an international Open Geospatial Consortium (OGC) standard that provides an open data model to represent and exchange digital 3D models of cities and landscapes (Gröger and Plümer, 2012; OGC, 2017).”