Map of Pinghu 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 Pinghu 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 Pinghu
968 buildings (2 residential, 67 commercial, 131 industrial, 1 religious), 1,806.3 km of roads, 104 points of interest, 4 landmarks.
The area covers 1,595 km², with about 1 buildings per km².
Mostly tertiary roads 479.1 km, residential streets 369.1 km, secondary roads 283.6 km.
0.7% of the area is green space.
The map marks 7 parks and 21 water bodies.
Key amenities: universities — 1, schools — 27, kindergartens — 7.
Public transport: 1,793 bus stops, 1 rail stations.
GeoJSON contains 968 buildings and 104 POIs with coordinates, names and attributes. Ready for Leaflet, Mapbox, D3.js.
Main streets: 平廊公路, 平兴公路, 广平公路, 平湖大道, 独广公路
Landmarks: 平湖博物馆, 十里水乡景区, 大云旅游度假区, 瑞祥寺
How to use GeoJSON for Pinghu
- Select the Pinghu 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 Pinghu
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.
