Map of Kaski 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 Kaski 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 Kaski
13,398 buildings (242 residential, 34 commercial, 18 industrial, 1 religious), 2,402.3 km of roads, 8,739 points of interest, 50 landmarks.
The area covers 2,088 km², with about 6 buildings per km².
Mostly residential streets 896.9 km, unclassified roads 747.2 km, tertiary roads 281.2 km.
The map marks 52 parks and 139 water bodies.
Key amenities: schools — 594, pharmacies — 389, convenience stores — 1,059.
Public transport: 274 bus stops.
GeoJSON contains 13,398 buildings and 8,739 POIs with coordinates, names and attributes. Ready for Leaflet, Mapbox, D3.js.
Main streets: Rupakot Thumki Road, Phedi Deurali Road, Pawai-Chandisthan People's Road, Begnas Bhoretar Road, Dhikur Sarangkot Way
Landmarks: International Mountain Museum, Himalayan Cultural Museum House, Kabi Shiromani Lekhnath Museum, Gurkha Memorial Museum, Eco Museum
How to use GeoJSON for Kaski
- Select the Kaski 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 Kaski
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.
