OS NGD Buildings
Introduction to the theme
The OS NGD Buildings Theme contains building features which meet the definition of a permanent roofed construction, usually with walls. Embedded height attribution is available for Building and Building Part features, enabling users to create simple height models.
OS NGD Buildings data is the most comprehensive and high-quality set of buildings data available for Great Britain ever produced by OS.
In comparison to OS MasterMap Download products, OS NGD buildings data has been enriched with additional attribution, including the following:
Geometry change metadata
A Description attribute to provide a one-word or simple phrase description of a feature
Detailed land use classification
Detailed land cover classification
Capture specification to give details about the geography of the area a feature resides in (that is, urban, rural, or moorland)
Roof shape, aspect and material
Solar panel and green roof presence
Number of floors within a building
Building age
Basement presence
Building construction material
Data structure
The OS NGD Buildings Theme is made up of the OS NGD Building Features Collection, which in turn is comprised of Building, Building Access Location, Building Line and Building Part Feature Types.
Unique identifiers
One main unique identifier is provided with each feature within the OS NGD Buildings Theme:
OSID (Ordnance Survey Identifier): The primary identifier and unique key for this theme.
Useful links
Introductory guides to OS NGD Buildings feature types are available on our More than Maps site; these guides detail the layers, formats, and attribution available for the OS NGD Buildings feature types.
Identifying hard to heat homes case study: Explore how using attributes from OS NGD Buildings Theme data can help to identify homes which are hard to heat.
Analysing roof attribution data: Discover how enhanced roof attribution data can benefit a wide range of sectors, including sustainability and energy, insurance and property, and Emergency Services.
Find out how new data on pedestrian and vehicular access points to key public buildings will help the Emergency Services to enhance their emergency planning and response times and improve their situational awareness.
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