Datasets
Table of contents
- Simple geometries
- With Geometry templates
- With Extensions
- Cities converted from CityGML
- Generating automatically your own CityJSON dataset
- Every buildings (~10M) in the Netherlands
- The topography of the Netherlands in 3D
- Paid datasets $$$
Simple geometries
- cube.city.json – a unit cube
- tetra.city.json – a simple tetrahedron
- torus.city.json – a unit cube with a genus of one
- msol.city.json – one MultiSolid: 2 unit cubes that are not adjacent
- csol.city.json – one CompositeSolid: 2 adjacent unit cubes
- twocube.city.json – one object as two geometries: 2 unit cubes adjacent (sharing a face)
For different City Objects (buildings, trees, roads, etc.) and different geometries, see the latest CityJSON specifications, and to understand how the hierarchical brackets work, see this guide.
With Geometry templates
Here are 2 files with Geometry templates; more details about Geometry templates.
- geomtemplate.city.json – one simple geometry template: a “cuboid tree”
- LoD3_Railway.city.json contains several trees on the hills, all those are Geometry templates.
With Extensions
- cube.city.json – a unit cube of type
"+GenericCityObject", which is defined in the Generic Extension (see its schema) - noise_data.city.json is a demo file with the Noise extension (schema noise.ext.json), more details in this tutorial
Cities converted from CityGML
| dataset | CityGML file (size) | CityJSON file (size) | textures | geometric validity | details |
|---|---|---|---|---|---|
| Den Haag | [GML] (23MB) | [JSON] (2.9MB) | none | 62% features valid | 'Tile 01', Buildings (in LoD2) and Terrain are merged |
| Montréal | [GML] (56MB) | [JSON] (5.4MB) | none | 86% buildings valid | Tile 'VM05'. Buildings in LoD2 |
| New York | [GML] (590MB) | [JSON] (105MB) | none | 99.9% buildings are valid (only 21 are invalid) | Tile 'DA13'. Buildings in LoD2 |
| Railway | [GML] (45MB) | [JSON] (4.3MB) | [ZIP] | 74% features valid | CityGML demo. Buildings, Railway, Terrain, Vegetation (with Geometry Templates), Water, Tunnels |
| Rotterdam | [GML] (16.0MB) | [JSON] (2.6MB) | [ZIP] | 76% buildings valid | Neighbourhood 'Delfshaven'. Buildings in LoD2 |
| Vienna | [GML] (37MB) | [JSON] (5.3MB) | none | 98.5% buildings valid | Buildings in LoD2 |
| Zürich | [GML] (3030MB) | [JSON] (292.9MB) | none | 76% buildings valid | Buildings in LoD2 |
It should be observed that on average CityJSON compresses ~6X a CityGML, and that without any loss of information (see details).
We performed the geometric validation with val3dity and report the overall result in the column ‘validity’. To understand the errors, we suggest validating the files (how to do this) yourself.
Please be aware that we simply converted the datasets as they are (with citygml-tools). Datasets contain errors.
Generating automatically your own CityJSON dataset
It is possible to generate automatically a 3D city model in CityJSON with 3dfier, just follow that simple tutorial.
Every buildings (~10M) in the Netherlands
Every building in the Netherlands, automatically reconstructed. Each building is available in 3 levels-of-details: LoD1.2, LoD1.3, and LoD2.2.
The topography of the Netherlands in 3D
Every building (in LoD1.2), every canals, every road, every bridge, in 3D. In CityJSON.
Please be aware that the tiles are very big, and they will most likely bring ninja or QGIS to their knees… The solution for the time being is to use a computer with 16GB+ of RAM, and use cjio to extract only the buildings for instance.
Paid datasets $$$
- 3dcityloader.com offers an online service where you can download custom areas for a few cities. Areas up to 0.3km² are free of charge.