Map of Balsa Nova 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.
.geojsonAbout GeoJSON
Map of Balsa Nova 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 Balsa Nova
88 buildings (2 industrial, 2 religious), 182.2 km of roads, 40 points of interest, 2 landmarks.
The area covers 48 km², with about 2 buildings per km².
Mostly unclassified roads 96.4 km, tertiary roads 34.2 km, secondary roads 28.4 km.
0.1% of the area is green space.
The map marks 9 water bodies.
Key amenities: schools — 4, hospitals — 1, clinics — 1.
Public transport: 7 bus stops.
GeoJSON contains 88 buildings and 40 POIs with coordinates, names and attributes. Ready for Leaflet, Mapbox, D3.js.
Main streets: Rodovia Anibal Khury, Rua Damásio Soares da Silva, Avenida Brasil, Rua Mato Grosso, Rua Francisco Manoel da Cruz
Landmarks: Igreja Matriz de Balsa Nova, Nossa Senhora Aparecida
How to use GeoJSON for Balsa Nova
- Select the Balsa Nova 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 Balsa Nova
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.
