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Buildings - Great Britain: OS Buildings Features

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Snowflake2025-08-29 更新2025-09-09 收录
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# Introduction Ordnance Survey's premium buildings dataset which contains over a billion data points from roof type to basement presence describing millions of buildings in Great Britain. Buildings data from OS ensures highly accurate insight into structures and buildings characteristics, and is trusted by businesses and government to inform critical decisions and deliver vital services with complete confidence. Category: Buildings & Infrastructure Coverage: Great Britain Data structure: Vector / Geometry (Building Parts) Update Cycle: Monthly Documentation: [OS NGD Buildings | OS National Geographic Database](https://docs.os.uk/osngd/data-structure/buildings) ## What's in this product? - Building - Building line - Building part - OSID (Ordnance Survey Identifier) - TOID (Topographic Identifier) - Geometry - Geometry area - Building heights - Basement presence - Basement presence self contained - Building age period - Building age year - Building use - Construction material - Description - Number of floors - Third party provenance - Roof material - Roof aspect - Roof shape - Green roof - Solar panel presence - Access points to key public buildings ## What is its value? Spot data patterns: Buildings data allow you to conduct analysis at the level of individual properties and spot patterns hidden in your own data. Enrich analysis: add context to existing datasets by linking building level data to customer records, service locations or asset registers. Risk assessment: Assess perils, like flood, fire, structural vulnerability for insurance, emergency planning or climate resilience at building level using OS Buildings. Asset management: track, maintain and optimise your property or asset registers using detailed building level intelligence. ## Case Studies - [Nationwide optimises the house-buying process with location data and the UPRN | OS](https://www.ordnancesurvey.co.uk/customers/case-studies/nationwide-optimising-the-house-buying-process-with-location-data-and-the-uprn) - [Location data at heart of nature recovery | OS](https://www.ordnancesurvey.co.uk/news/location-data-at-heart-of-nature-recovery) - [The value of nature in house prices | Blog | OS](https://www.ordnancesurvey.co.uk/blog/accounting-value-nature-house-prices) - [British Army using OS NGD API Features for battlefield training | Blog | OS](https://www.ordnancesurvey.co.uk/blog/how-the-british-army-use-mapping-apis-for-battlefield-training) <p><br/></p> ## Sample Licensing - Free for up to 3 months The [OS NGD Sample Data Trial Licence](https://www.ordnancesurvey.co.uk/documents/licences/os-ngd-sample-data-trial-licence.pdf) from Ordnance Survey allows you to use OS Sample Data for evaluation purposes free of charge, for 3 months. By clicking 'Get' you agree to read and accept the terms of the [OS NGD Sample Data Trial Licence](https://www.ordnancesurvey.co.uk/documents/licences/os-ngd-sample-data-trial-licence.pdf) and acknowledge that OS may contact me from time to time to check that the licence still meets my needs and to discuss my future requirements. The Sample data available through this Listing gives full OS Buildings attribution for three sample areas of interest: Exeter in England, Newport in Wales, and Inverness in Scotland. **Please contact os.snowflake.support@os.uk to discuss obtaining access to the full Great Britain dataset.**
提供机构:
Ordnance Survey
创建时间:
2025-08-26
原始信息汇总

Buildings - Great Britain: Buildings theme OS National Geographic Database

概述

英国地形测量局(Ordnance Survey)提供的最新、最全面的建筑物数据集,作为独立集合。

分类

建筑物与基础设施

覆盖范围

大不列颠(英格兰、苏格兰、威尔士)

数据结构

矢量/几何(建筑部件)

更新周期

每月

最后更新

2025年7月

数据内容

  • 建筑物
  • 建筑物线条
  • 建筑物部件
  • OSID(英国地形测量局标识符)
  • TOID(地形标识符)
  • 几何
  • 几何面积
  • 建筑高度
  • 地下室存在
  • 自包含地下室存在
  • 建筑年代时期
  • 建筑年份
  • 建筑用途
  • 建筑材料
  • 描述
  • 楼层数
  • 第三方来源
  • 屋顶材料
  • 屋顶朝向
  • 屋顶形状
  • 绿色屋顶
  • 太阳能板存在
  • 关键公共建筑的接入点

数据价值

  • 发现数据模式:建筑物数据允许您在单个物业级别进行分析,并发现隐藏在您自己数据中的模式。
  • 实现高效流程:每个地址都由唯一物业参考编号(UPRN)引用,这是一个持久标识符,允许您管理地址并使流程更高效。

数据对象

  • PRS_BUILDINGPART_SAMPLE_VW
  • PRS_BUILDING_ACCESS_LOCATION_SAMPLE_VW
  • PRS_BUILDING_SAMPLE_VW
  • +5个对象

数据列示例(共56列)

  • OSID(Varchar)
  • TOID(Varchar)
  • VERSIONDATE(Date)
  • VERSIONAVAILABLEFROMDATE(Timestamp_NTZ)
  • VERSIONAVAILABLETODATE(Timestamp_NTZ)
  • FIRSTDIGITALCAPTUREDATE(Date)
  • CHANGETYPE(Varchar)
  • GEOMETRY(Object)
  • GEOGRAPHY(Object)
  • GEOMETRY_AREA_M2(Number)
  • GEOMETRY_EVIDENCEDATE(Date)
  • GEOMETRY_UPDATEDATE(Date)
  • GEOMETRY_CAPTUREMETHOD(Varchar)
  • THEME(Varchar)
  • DESCRIPTION(Varchar)
  • DESCRIPTION_EVIDENCEDATE(Date)
  • DESCRIPTION_UPDATEDATE(Date)
  • DESCRIPTION_CAPTUREMETHOD(Varchar)
  • OSLANDCOVERTIERA(Varchar)
  • OSLANDCOVERTIERB(Varchar)
  • OSLANDCOVER_EVIDENCEDATE(Date)
  • OSLANDCOVER_UPDATEDATE(Date)
  • OSLANDCOVER_CAPTUREMETHOD(Varchar)
  • OSLANDUSETIERA(Varchar)
  • OSLANDUSETIERB(Varchar)
  • OSLANDUSE_EVIDENCEDATE(Date)
  • OSLANDUSE_UPDATEDATE(Date)
  • OSLANDUSE_CAPTUREMETHOD(Varchar)
  • HEIGHT_ABSOLUTEROOFBASE_M(Number)
  • HEIGHT_RELATIVEROOFBASE_M(Number)
  • HEIGHT_ABSOLUTEMAX_M(Number)
  • HEIGHT_RELATIVEMAX_M(Number)
  • HEIGHT_ABSOLUTEMIN_M(Number)
  • HEIGHT_CONFIDENCELEVEL(Varchar)
  • HEIGHT_EVIDENCEDATE(Date)
  • HEIGHT_UPDATEDATE(Date)
  • ASSOCIATEDSTRUCTURE(Varchar)
  • ISOBSCURED(Varchar)
  • PHYSICALLEVEL(Varchar)
  • CAPTURESPECIFICATION(Varchar)
  • CONTAININGSITECOUNT(Number)
  • SMALLESTSITE_SITEID(Varchar)
  • SMALLESTSITE_LANDUSETIERA(Varchar)
  • SMALLESTSITE_LANDUSETIERB(Varchar)
  • LARGESTSITE_LANDUSETIERA(Varchar)
  • LARGESTSITE_LANDUSETIERB(Varchar)
  • NLUD_CODE(Varchar)
  • NLUD_ORDERDESCRIPTION(Varchar)
  • NLUD_GROUPDESCRIPTION(Varchar)
  • ADDRESS_CLASSIFICATIONCODE(Varchar)

许可信息

  • 试用许可:90天免费试用
  • 样本数据许可:免费使用3个月,用于评估目的
  • 样本数据覆盖三个感兴趣区域:英格兰的埃克塞特、威尔士的纽波特、苏格兰的因弗内斯
  • 完整数据集访问需联系:os.snowflake.support@os.uk

业务需求

位置数据丰富

将OS NGD建筑物数据的丰富属性应用于您的资产组合,以分析建筑年龄、建筑类型、连通性、高度、用途、地址计数、屋顶属性等,具有准确的位置和几何形状。

使用示例

识别具有特定用途的建筑物

使用BUILDINGUSE属性筛选具有医疗或保健建筑用途值的建筑物。

识别2020年以来建造的高层住宅建筑

高层建筑定义为高度>11米。

云区域可用性

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