Map of Andalus 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 Andalus 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
- 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 Andalus
2,302 buildings (2,244 residential, 1 commercial, 25 religious), 122.6 km of roads, 68 points of interest, 25 landmarks.
The area covers 5.1 km², with about 451 buildings per km².
Mostly residential streets 52.5 km, service roads 24.0 km, tertiary roads 18.1 km.
2% of the area is green space.
The map marks 1 parks.
Key amenities: supermarkets — 2, bakeries — 2, police stations — 1.
Public transport: 2 bus stops.
GeoJSON contains 2,302 buildings and 68 POIs with coordinates, names and attributes. Ready for Leaflet, Mapbox, D3.js.
Main streets: شارع 1, شارع 101, شارع 4, الجهراء السريع, شارع 6
Landmarks: مسجد عبدالوهاب الحسينان, مسجد سعيد سعود المطيري, مسجد سعاد ولولوة صالح السريع, مسجد عبدالله غازي الهجاري, مسجد الحاج مبارك عبدالعزيز الحساوي
How to use GeoJSON for Andalus
- Select the Andalus 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 Andalus
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.
