Map of Datça 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.
.geojson
About GeoJSON
Map of Datça 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 Datça
435 buildings (12 residential, 1 commercial, 4 industrial, 3 religious), 175.1 km of roads, 136 points of interest, 8 landmarks.
The area covers 78 km², with about 6 buildings per km².
Mostly residential streets 67.1 km, living streets 42.9 km, tertiary roads 25.3 km.
34.3% of the area is green space.
Key amenities: supermarkets — 13, convenience stores — 7, bus stations — 2.
Public transport: 11 bus stops.
GeoJSON contains 435 buildings and 136 POIs with coordinates, names and attributes. Ready for Leaflet, Mapbox, D3.js.
Main streets: 529.Sokak, Eski Knidos Caddesi, Yeniçeşme Caddesi, Çevre Yolu, Ahmet Taner Kışlalı Caddesi
Landmarks: Akvaryum Koyu, Geothermal lake, Yeşim Teras viewpoint, Amfitiyatro, Пляж
How to use GeoJSON for Datça
- Select the Datça 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 Datça
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.
