1Spatial: Leeds FME World Tour: How FME helps us create & maintain a national buildings database
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This document discusses how FME software helps create and maintain a national buildings database in the UK called UKBuildings. It allows non-SQL experts to easily load, integrate, and validate building data from various sources. FME is used to clean, link, and publish UKBuildings data in different formats. Lessons learned include defining standard processes and producing consistent, reliable data without SQL expertise. Future plans include more automation, additional quality checks, and simplified data delivery.
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1Spatial: Leeds FME World Tour: How FME helps us create & maintain a national buildings database
- 1. How FME helps us create & maintain a national buildings database Tom Timms The GeoInformation Group
- 2. Hello! Founded in 1998 20 staff based at Linton near Cambridge Acquired by Verisk Analytics, November 2016 $2bn, 6500+ employees Forbes Top 100 innovative companies
- 3. Presentation outline • Introductions – Why are buildings important ? – Complexity of buildings … – UKBuildings • Processes – Data capture – Data maintenance & Integration – Quality control & Publication • Lessons & future plans
- 5. • Highly valuable – Insurance , Financial services … • Define characteristics of an area – Planning, Development, marketing … • Characteristics significant – Fire risk, flooding … – Signal propagation – Age/type of utility and other assets Why are buildings important ?
- 6. Buildings are complex • Definition • Categorisation – Use – Age – Size – Height / number of floors • Construction/roof materials and they change …..
- 7. • Unique observed database of Buildings • Building Form (basic characteristics) – Residential/Non-Residential – Age – Type – Height – Use – …..
- 8. Coverage • UK wide building footprints • Significant proportion (69%) with heights • Major urban areas fully covered – London, W. Midlands, Glasgow … • 25m residential addresses, 64% have age/type • 1.1m non-residential, 43% have age/type • Major capture program underway
- 9. UKBuildings customers • Insurance – Risk analysis, Building intelligence • Utilities – Asset knowledge & management, telecom network modelling, risk analysis • Emergency services – Fire risk • Government – Energy modelling • Land and Property – Identifying investment opportunities, targeted marketing
- 10. Here’s UKBuildings data highlighting a 60’s-70’s small terrace
- 11. Buildings with basements UKBuildings data of Stirling linked to OS AddressBase data
- 12. London – residential building age
- 13. Edinburgh – residential building age
- 14. Cardiff – residential building age
- 15. Leeds – residential building age
- 17. Creating & maintaining UKBuildings UKBuildings DB (PostGIS) Data maintenance (QGIS/FME) Publication Data creation (QGIS)
- 18. Database creation • Originally stored as SHP files, now stored in PostGIS • FME used for – Data loading – Attribute creation & integration – Data validation
- 19. First QA & attribute validation
- 20. Data maintenance • Database updates • Integrating new sources of data – EA Open Lidar – Listed Buildings – HMLR Price paid – …. • Links to other data – OS AddressBase UPRN …
- 21. Data publication
- 22. Data publication • Range of supply options – Polygons • SHP, PostGIS, MapInfo – Points • SHP, PostGIS – Link to address • CSV • UPRN link – API
- 25. Lessons learned & future … • Easy to define standard processes/procedures • Reliable, consistent • No SQL experience required • To do – More automation – Additional data consistency – Simplified “user friendly” data – FME Server ?