Map of Samoa 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.
Sobre GeoJSON
Map of Samoa 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)
| Categoria | GIS |
| Extensió del fitxer | .geojson |
| Nivell | Free |
What's in the GeoJSON map of Samoa
14,467 buildings (1,794 residential, 152 commercial, 152 industrial, 200 religious), 1,764.6 km of roads, 2,423 points of interest, 50 landmarks.
Mostly residential streets 759.1 km, primary roads 432.1 km, service roads 205.3 km.
2.6% of the area is green space.
Key amenities: schools — 217, supermarkets — 85, convenience stores — 128.
GeoJSON contains 14,467 buildings and 2,423 POIs with coordinates, names and attributes. Ready for Leaflet, Mapbox, D3.js.
Main streets: Public Road, South Coast Road, North Coast Road, Main South Coast Road, Main West Coast Road
Landmarks: Museum of Samoa, Museum of Samoa, Robert Louis Stevenson's Museum, German Magiagi Hydro Scheme Building, Robert Louis Stevenson Museum and Botanical Gardens
How to use GeoJSON for Samoa
- Select the Samoa 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 Samoa
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.
