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  • Volker Coors
  • Visualization
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  • Exercise for multiresolution models
  • Open source datasets
Last edited by Rager 4 years ago
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Open source datasets

CityGML

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:

  • NYC mixed LOD1 and LOD2 buildings
    • https://www1.nyc.gov/site/doitt/initiatives/3d-building.page
  • North Rhine-Westphalia buildings aggregated per municipality or city in LOD 1 or 2
    • https://www.opengeodata.nrw.de/produkte/geobasis/3dg/lod1_gml/lod1_gml_paketiert/
    • https://www.opengeodata.nrw.de/produkte/geobasis/3dg/lod2_gml/lod2_gml_paketiert/
  • North Rhine-Westphalia aggregated according to predefined tiles in LOD 1 or 2
    • https://www.opengeodata.nrw.de/produkte/geobasis/3dg/lod1_gml/lod1_gml/
    • https://www.opengeodata.nrw.de/produkte/geobasis/3dg/lod2_gml/lod2_gml/

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.

Hosted 3D tiles datasets

http://cdb.cognitics.net:3000/collections/NewYorkBuildings/3DTiles/

http://steinbeis-3dps.eu:8080/3DContainerTile/collections/NewYork/3DTiles/

Hosted i3s datasets

https://tiles.arcgis.com/tiles/P3ePLMYs2RVChkJx/arcgis/rest/services/Buildings_NewYork_17/SceneServer/layers/0

https://tiles.arcgis.com/tiles/z2tnIkrLQ2BRzr6P/arcgis/rest/services/SanFrancisco_Bldgs/SceneServer/layers/0

https://tiles.arcgis.com/tiles/P3ePLMYs2RVChkJx/arcgis/rest/services/Buildings_Hamburg/SceneServer/layers/0

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  • Create a simple web AR application [De]
  • Create a simple web AR application
  • Exercise for Multiresolution Models
    • Feature manipulation engine (FME)
    • Introduction
    • Open source datasets
    • Visualization with ArcGIS
    • Visualization with CesiumJS
    • Visualization with Deck.gl
  • FME
  • OGC API 3D GeoVolume
  • Project_1
  • Styling of 3D building models by Attributes
  • Three.js 101 : Hello World!
  • Useful tools
  • Visualization of Bike Sharing Data
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