Drupal Day 2011 - Thinking spatially with your open data


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Talk di Juan Arevalo & Marco Giacomassi | Drupal Day Roma 2011

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. Please come to learn more about it!

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Drupal Day 2011 - Thinking spatially with your open data

  1. 1. Thinking spatially with your open data“Spatial data deluge: please bring me an umbrella!” Juan Arévalo, Marco Giacomassi
  2. 2. Data is everywhere...
  3. 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. 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. 5. Open Data Movement
  6. 6. Open Data Applications
  7. 7. Spatial Data Infrastructures and Open Data Two sides of the same coin: - About making data available - Data should be freely available
  8. 8. Everything can be mapped!! 80% of the data has a spatial component Data exploration and analysis through spatial operations
  9. 9. Spatial Data Formats
  10. 10. Programming languages
  11. 11. GIS Desktop Tools
  12. 12. Spatial Databases
  13. 13. Web Mapping Clients
  14. 14. Data processing...
  15. 15. Data mining tools: Business Intelligence
  16. 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. 17. The umbrella...
  18. 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. 19. SOLAP Clients
  20. 20. SOLAP Clients
  21. 21. Spatial OLAP & Drupaldata feed
  22. 22. Spatial OLAP & Drupaldata feed S. ETL
  23. 23. Spatial OLAP & Drupaldata feed workflow management S. ETL DB S. CUBE
  24. 24. Spatial OLAP & Drupaldata feed workflow management frontend S. ETL DB S. CUBE geojsp
  25. 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. 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. 27. Questions?
  28. 28. ContactsMarco Giacomassi Juan Arevalomail: marco@twinbit.it mail: juan@twinbit.ittwitter: @marcogiaco twitter: NO!
  29. 29. Thank you! Grazie mille!Muchas gracias! “In the middle of difficulty lies opportunity.” Albert Einsten