Kiambu haritasi GeoJSON formatinda
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.
GeoJSON hakkında
Map of Kiambu 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)
| Kategori | GIS |
| Dosya uzantısı | .geojson |
| Seviye | Free |
What's in the GeoJSON map of Kiambu
8,641 buildings (142 residential, 2 commercial, 14 industrial, 1 religious), 753.4 km of roads, 336 points of interest, 19 landmarks.
Mostly residential streets 470.1 km, unclassified roads 104.6 km, service roads 68.5 km.
18% of the area is green space.
Key amenities: schools — 54, kindergartens — 21, hospitals — 8.
GeoJSON contains 8,641 buildings and 336 POIs with coordinates, names and attributes. Ready for Leaflet, Mapbox, D3.js.
Main streets: Boma Road, Kiambu Road, Ruiru-Kiambu Road, Northern Bypass, Banana-Raini Road
Landmarks: Paradise lost, Joseph Allamano Catholic Church Ruaka, Ruaka Catholic Church, A. C. K Diocese Of Mount Kenya South New-Ruaka, St.Gregory the great Catholic church
How to use GeoJSON for Kiambu
- Select the Kiambu 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 Kiambu
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.