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The Open Data movement is now moving a step forward, many governments, institutions and business have recently started the process of making information available to citizens and customers. Data is ...

The Open Data movement is now moving a step forward, many governments, institutions and business have recently started the process of making information available to citizens and customers. Data is now seen as a powerful instrument to increase transparency in public administration and business on policies. About 80% of this information has a spatial component that is not entirely exploited yet. A range of open source solutions are now available to address this challenge, in this session we will explore their potential and possible applications. The so-called “data deluge” is here.. but we can build good umbrellas.

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Thinking spatially with your open data Presentation Transcript

  • 1. Thinking spatially with your open data“Spatial data deluge: please bring me an umbrella!” Juan Arévalo, Marco Giacomassi
  • 2. Data is everywhere...
  • 3. Inspire Directive • Infrastructure for spatial information in Europe to support Community environmental policies:- Decreto Legislativo 32/2010 di recepimentodella Direttiva Inspire - Metadata, interoperability, Web services,standards, data specifications, etc..
  • 4. Is it worth it?? Cost:Total direct cost: 1.5 M € (76%Human Resources)Period: 2002-2006 Benefits:Internal efficiency benefits: 500hours per month (30€ hour)Recovery cost: 6 months
  • 5. Open Data Movement
  • 6. Open Data Applications
  • 7. Spatial Data Infrastructures and Open Data Two sides of the same coin: - About making data available - Data should be freely available
  • 8. Everything can be mapped!! 80% of the data has a spatial component Data exploration and analysis through spatial operations
  • 9. Spatial Data Formats
  • 10. Programming languages
  • 11. GIS Desktop Tools
  • 12. Spatial Databases
  • 13. Web Mapping Clients
  • 14. Data processing...
  • 15. Data mining tools: Business Intelligence
  • 16. Spatial ETL Tools Extract, automate and define a data flow processTranslate spatial data into the format that the endconsumer requires Load and integrate disparate data into a spatial database Document your processing data steps Execute process in a Parallel Computing EnvironmentRestructure the data into the required data model andcoordinate system
  • 17. The umbrella...
  • 18. Spatial data cubes - Store geometry in a data cube - Spatial query language (MDX)- View agreggated data from different perspectives - Fast retrieval and anlysis of data
  • 19. SOLAP Clients
  • 20. SOLAP Clients
  • 21. Spatial OLAP & Drupaldata feed
  • 22. Spatial OLAP & Drupaldata feed S. ETL
  • 23. Spatial OLAP & Drupaldata feed workflow management S. ETL DB S. CUBE
  • 24. Spatial OLAP & Drupaldata feed workflow management frontend S. ETL DB S. CUBE geojsp
  • 25. Conclusions1. Huge amount of data with a spatial component that needs tobe explored and analysed.2. Availability and maturity of open source technologies andKnow-how: OLAP and Geographical Information Systems(GIS).3. Spatial OLAP merging OLAP and GIS via Open Source Tools.
  • 26. Links and Referenceshttp://www.spatialytics.org/projects/geomondrian/http://www.spatialbi.orghttp://www.spatialytics.comhttp://www.geobi.orghttp://inspire.jrc.ec.europa.eu/reports/Study_reports/catalonia_impact_study_report.pdf
  • 27. Questions?
  • 28. ContactsMarco Giacomassi Juan Arevalomail: marco@twinbit.it mail: juan@twinbit.ittwitter: @marcogiaco twitter: NO!
  • 29. Thank you! Grazie mille!Muchas gracias! “In the middle of difficulty lies opportunity.” Albert Einsten