Map of Uringua 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

Area2.0 km²
Buildings200
Roads24 km
Points of interest4

What this map contains by default

This is how the map is built as-is — every setting can be changed in the constructor.

FormatGeoJSON .geojson
LayersRoads, Buildings, Points of interest change
Stylestandard change
Detailauto change
House numbersall change
Points of interestall but cafés, shops and services — the editor adds those change
Coordinate systemWGS 84 (auto) change
Sheet sizeauto change
Relief & gridoff change

About GeoJSON

Map of Uringua 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:

Coordinate systems

WGS 84 (EPSG:4326), selectable in the wizard

Compatibility

QGISLeafletMapboxKepler.glgeojson.ioPython

Units

Meters (projected in the chosen coordinate system)

CategoryGIS
File extension.geojson
TierFree

What's in the GeoJSON map of Uringua

200 buildings, 24.5 km of roads, 4 points of interest.

The area covers 2.0 km², with about 101 buildings per km².

Mostly secondary roads 20.7 km, unclassified roads 3.8 km.

GeoJSON contains 200 buildings and 4 POIs with coordinates, names and attributes. Ready for Leaflet, Mapbox, D3.js.

Main streets: Rhino Camp Road

How to use GeoJSON for Uringua

  1. Select the Uringua area on the map
  2. Export to GeoJSON
  3. Load into QGIS, Mapbox Studio, or kepler.gl
  4. Use for analysis, filtering, and visualization

Programs that open GeoJSON

QGISLeafletMapboxKepler.glgeojson.ioPython

FAQ: GeoJSON for Uringua

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.

Other formats for Uringua

All 126 formats for Uringua →

GeoJSON for nearby places

All formats for Uringua