Big data in Digimap
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Big Just Got Bigger! discusses the challenges of managing large map collections through the Digimap service. Digimap provides access to geospatial data from various sources, including Ordnance Survey, British Geological Survey, aerial imagery, and more. It has grown significantly over time to include more data sources and users. Managing such large datasets and meeting user expectations of current data and performance presents challenges. Issues include keeping data current while sharing across platforms, disk storage needs increasing exponentially over time, and ensuring data can be accessed and used through various tools and formats.
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Big data in Digimap
- 1. Big Just Got Bigger! Surprises in managing large map collections Ian Holmes EDINA
- 2. EDINA delivers online services Based at Supported by Vision: To be integral to the quality and productivity of research and education, in the UK and beyond.
- 3. Geo-Services
- 4. Digimap • An online mapping and data delivery service • Originally built to provide access to Ordnance Survey (GB) maps and data - a ‘virtual map library’ • Launched in January 2000 • Content extended to include: – Historic OS maps – British Geological Survey data – Marine maps and data (UKHO via Seazone) – Environment data (Centre for Ecology and Hydrology) – Aerial imagery (Getmapping) • Subscription service with around 65,000 users
- 6. Accessing the data: online mapping via Roam
- 7. Accessing the data: online mapping via Roam • Annotation • Data import/export • Save/open • Printing • Measurement tools • No spatial analysis
- 8. Accessing the data: forward use Basket options: • version • format • layers 1: Select area 2: Select data 3: Add to basket
- 9. Accessing the data: forward use • Forward use: Data Download • GIS and CAD users • Access raw data in different formats • Previous versions of data
- 12. Aerial Imagery • Recent venture with Getmapping • Highest resolution national (GB) dataset: 25cm • Annual updates
- 13. Data currency
- 14. Data currency
- 15. Mosaic – hard edges
- 16. Mosaic – data detail
- 17. Mosaic – following features
- 18. Challenges • User expectation: now is good • Sharing data across multiple platforms
- 19. Moore’s Law • Microchip performance doubles every two years Source: http://www.gotw.ca/publications/concurrency-ddj.htm
- 20. Decreasing cost of disk space Source: http://www.mkomo.com/cost-per-gigabyte-update
- 21. Aerial imagery in numbers • 243,869 1km tiles • 1.7TB • JPEG format
- 27. Using the data in GIS • OS MasterMap Building Height Attribute • 25cm aerial imagery • VectorMap Local Raster • OS Terrain 5
- 28. Using the data in GIS
- 29. OS MasterMap Topography Layer • Most detailed mapping available • Supplied in GML format • Provided in GML, DWG and File Geodatabase formats
- 30. Summary • User expectation/performance – caching • Currency • Disk space, backup, redundancy
- 31. Any questions?