Map of Rai 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 Rai 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 Rai
98 buildings (8 commercial, 6 religious), 103.4 km of roads, 189 points of interest, 8 landmarks.
The area covers 5.2 km², with about 19 buildings per km².
Mostly service roads 42.2 km, tertiary roads 20.5 km, residential streets 19.5 km.
0.2% of the area is green space.
The map marks 1 parks.
Key amenities: department stores — 5, restaurants — 12, cafes — 4.
Public transport: 1 bus stops, 1 rail stations.
GeoJSON contains 98 buildings and 189 POIs with coordinates, names and attributes. Ready for Leaflet, Mapbox, D3.js.
Main streets: شارع مطلق عباس المناور, شارع مرزوق راشد الرشدان, شارع حمد راشد البان, شارع محمد بن القاسم, شارع علي بن مبارك آل دوب
Landmarks: سينما ڤوكس, سينسكيب, مسجد طيبة عبدالوهاب عبدالعزيز العثمان, مسجد الكندري, مسجد علي صالح اللهيب
How to use GeoJSON for Rai
- Select the Rai 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 Rai
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.
