Map of Simiyu in WebP 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 WebP
Map of Simiyu in WebP: 25 070 km of roads, 62% green areas — in the WGS 84 coordinate system, units are meters.
Which layers are in the file
This file for the selected area contains:
- Roads
- Water
- Greenery
Geometry by layer
- Roads — drawn as lines in pixels, no separate features
- Water — drawn as filled pixels
- Greenery — drawn as filled pixels
What the file carries
The WebP file for Simiyu: layers are flattened into one picture: objects become pixels and cannot be selected separately, OpenStreetMap tags are not kept — geometry and styling remain.
File size
The expected size of the WebP file for Simiyu is about 1.1 MB; the exact size depends on the chosen layers and area.
Coordinate systems
WGS 84 (EPSG:4326), selectable in the wizard
Compatibility
Units
Meters (projected in the chosen coordinate system)
| Category | GIS |
| File extension | .webp |
| Tier | Open Beta |
What's in Simiyu
618,868 buildings (6,161 residential, 48 commercial, 24 industrial, 4 religious), 25,070.1 km of roads, 1,472 points of interest, 15 landmarks.
The area covers 24,365 km², with about 25 buildings per km².
Mostly unclassified roads 17,966.7 km, residential streets 4,713.8 km, tertiary roads 1,149.6 km.
61.8% of the area is green space.
The map marks 1 parks and 9 water bodies.
Key amenities: schools — 675, hospitals — 23, pharmacies — 41.
Public transport: 57 bus stops, 1 rail stations.
Main streets: NE1, SW1, NW1, Ngulyati road, Arusha Road
Landmarks: Maasai Kopje 13, Gol Kopjes (east), Wandamu Kopjes, The Three Lionesses, Maasai Kopje 1
How to use WebP for Simiyu
- Select the Simiyu map area on the main page
- Choose WebP format and configure export settings
- Click Export and wait for processing
- Download the file and use in your application
