3D site analysis of any place, in the browser
OSMosis is an online site analysis tool: type a city, district or address, or upload your site boundary, and it builds the place in 3D with its buildings, streets, green and water, then reads it for you in eight chapters, from amenities and building heights to street networks, density and a mental map. Nothing to install; the first three study areas are free.
What you get
- A measured 3D model of the study area: buildings with heights and uses, streets, parks, water and trees.
- Eight chapters that read the place: setting, amenities and green, buildings, road networks, urban profile, a livability index, urban form and a mental map.
- Site analysis maps drawn from one viewpoint with titles and legends: sun, shade, heat, walking times, land use, heights, density and more.
- Figures you can compare between places: floor space index, ground coverage, people per hectare, block sizes and street orientation.
- Recorded and estimated figures told apart: every model says how many building heights are recorded and how many estimated.
How to do it
- Start free and open the tool.
- Choose Place, Address + radius or Upload a boundary (GeoJSON, KML, KMZ or a zipped Shapefile), then press Build.
- Read the chapters on the left, click any building for its card, and press Make all in Diagrams for every map at once.
Questions
What is the best way to do a 3D site analysis online?
Use a web tool that builds the site in 3D from open map data, such as OSMosis: search the place or upload your boundary, press Build, and read sun, shade, heat, walking times, land use, heights and density on one measured model.
Can I do a site analysis for any city in the world?
Yes. OSMosis works anywhere on Earth. How detailed a model is depends on how well the place is mapped, and OSMosis shows how many heights are recorded and how many are estimated.
How long does it take?
A new study area takes from a few seconds to a few minutes in OSMosis, depending on its size; areas you have built open at once the next time.
Related
Map data © OpenStreetMap contributors and other open datasets.