Map of Gansu in GeoJSON format
A map built from OpenStreetMap data, ready to download
Customize the map
Open this place's area in the constructor and adjust everything to your needs
Open in constructor →Map passport
What this map contains by default
This is how the map is built as-is — every setting can be changed in the constructor.
.geojson
About GeoJSON
Map of Gansu in GeoJSON — an export of real OpenStreetMap data for the selected area.
Open text-based geodata format built on JSON. Widely supported by web mapping libraries, human-readable and easy to process with scripts.
Which layers are in the file
This file for the selected area contains:
- Roads
- Buildings
- Water
- Greenery
- Points of interest
Coordinate systems
WGS 84 (EPSG:4326), selectable in the wizard
Compatibility
Units
Meters (projected in the chosen coordinate system)
| Category | GIS |
| File extension | .geojson |
| Tier | Free |
What's in the GeoJSON map of Gansu
109,982 buildings (5,440 residential, 542 commercial, 3,029 industrial, 145 religious), 188,420.3 km of roads, 18,188 points of interest, 200 landmarks.
The area covers 425,784 km², with about 0 buildings per km².
Mostly unclassified roads 71,194.2 km, tertiary roads 34,787.5 km, residential streets 22,318.7 km.
The map marks 245 parks and 487 water bodies.
Key amenities: schools — 3,662, kindergartens — 397, hospitals — 283.
Public transport: 3,529 bus stops, 137 tram stops, 43 metro stations, 353 rail stations.
GeoJSON contains 109,982 buildings and 18,188 POIs with coordinates, names and attributes. Ready for Leaflet, Mapbox, D3.js.
Main streets: 淖柳矿用公路, 环县 - 泾川, 九条岭 - 瓜州, 黄陵 - 郿岘, 敦煌至哈密公路
Landmarks: 皋兰县博物馆, 黄河石林博物馆, 大地湾博物馆, 万寿宫, 敦煌博物馆
How to use GeoJSON for Gansu
- Select the Gansu area on the map
- Export to GeoJSON
- Load into QGIS, Mapbox Studio, or kepler.gl
- Use for analysis, filtering, and visualization
Programs that open GeoJSON
FAQ: GeoJSON for Gansu
How to open GeoJSON?
GeoJSON opens in QGIS, geojson.io, Mapbox Studio, kepler.gl, or any text editor — it's just JSON.
Is GeoJSON suitable for large areas?
For large areas, GeoPackage or FlatGeobuf is better — they're more compact and load faster.
