Map of Linxia 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.
About GeoJSON
Map of Linxia 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 Linxia
2,057 buildings (67 residential, 1 commercial, 2 industrial, 23 religious), 687.2 km of roads, 282 points of interest, 30 landmarks.
The area covers 91 km², with about 23 buildings per km².
Mostly residential streets 180.5 km, unclassified roads 97.6 km, tertiary roads 91.4 km.
1.3% of the area is green space.
The map marks 4 parks and 3 water bodies.
Key amenities: colleges — 3, schools — 50, kindergartens — 6.
Public transport: 45 bus stops, 1 rail stations.
GeoJSON contains 2,057 buildings and 282 POIs with coordinates, names and attributes. Ready for Leaflet, Mapbox, D3.js.
Main streets: 南滨河中路, 刘临路, 南滨河东路, 折双路, 环东二路
Landmarks: 东公馆, 八坊民居, 临夏回族自治州博物馆, 临夏州博物馆, 八坊民俗馆
How to use GeoJSON for Linxia
- Select the Linxia 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 Linxia
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.
