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# CityGML
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For this exercise we can use different open data sources like the CityGML dataset from New York City or from the German federal State North Rhine-Westphalia:
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* NYC mixed LOD1 and LOD2 buildings
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* https://www1.nyc.gov/site/doitt/initiatives/3d-building.page
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* North Rhine-Westphalia buildings aggregated per municipality or city in LOD 1 or 2
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* https://www.opengeodata.nrw.de/produkte/geobasis/3dg/lod1_gml/lod1_gml_paketiert/
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* https://www.opengeodata.nrw.de/produkte/geobasis/3dg/lod2_gml/lod2_gml_paketiert/
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* North Rhine-Westphalia aggregated according to predefined tiles in LOD 1 or 2
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* https://www.opengeodata.nrw.de/produkte/geobasis/3dg/lod1_gml/lod1_gml/
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* https://www.opengeodata.nrw.de/produkte/geobasis/3dg/lod2_gml/lod2_gml/
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The size of the dataset can influence the time for downloading, processing in FME and hosting for the viewer, maybe choose a smaller dataset for the start.
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# Hosted 3D tiles datasets
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http://cdb.cognitics.net:3000/collections/NewYorkBuildings/3DTiles/
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http://steinbeis-3dps.eu:8080/3DContainerTile/collections/NewYork/3DTiles/
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# Hosted i3s datasets
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https://tiles.arcgis.com/tiles/P3ePLMYs2RVChkJx/arcgis/rest/services/Buildings_NewYork_17/SceneServer/layers/0
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https://tiles.arcgis.com/tiles/z2tnIkrLQ2BRzr6P/arcgis/rest/services/SanFrancisco_Bldgs/SceneServer/layers/0
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https://tiles.arcgis.com/tiles/P3ePLMYs2RVChkJx/arcgis/rest/services/Buildings_Hamburg/SceneServer/layers/0 |
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