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Thinking spatially with your open data
“Spatial data deluge: please bring me an
               umbrella!”
      Juan Arévalo, Marco Giacomassi
Data is everywhere...
Inspire Directive
         • Infrastructure for spatial
         information in Europe to support
         Community environmental policies:

-   Decreto Legislativo 32/2010 di recepimento
della Direttiva Inspire

    - Metadata, interoperability, Web services,
standards, data specifications, etc..
Is it worth it??
              Cost:

Total direct cost: 1.5 M € (76%
Human Resources)
Period: 2002-2006


            Benefits:

Internal efficiency benefits: 500
hours per month (30€ hour)
Recovery cost: 6 months
Open Data Movement
Thinking spatially with your open data
Open Data Applications
Spatial Data Infrastructures
       and Open Data


        Two sides of the same coin:

       - About making data available
       - Data should be freely available
Everything can be mapped!!


        80% of the data has a spatial
        component

        Data exploration and analysis
        through spatial operations
Spatial Data Formats
Programming languages
GIS Desktop Tools
Spatial Databases
Web Mapping Clients
Data processing...
Data mining tools: Business
       Intelligence
Spatial ETL Tools
   Extract, automate and define a data flow process
Translate spatial data into the format that the end
consumer 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 and
coordinate system
The umbrella...
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
SOLAP Clients
SOLAP Clients
Spatial OLAP & Drupal
data feed
Spatial OLAP & Drupal
data feed




            S. ETL
Spatial OLAP & Drupal
data feed   workflow management




            S. ETL
                      DB    S. CUBE
Spatial OLAP & Drupal
data feed   workflow management          frontend




            S. ETL
                     DB     S. CUBE




                                      geojsp
Conclusions

1. Huge amount of data with a spatial component that needs to
be explored and analysed.

2. Availability and maturity of open source technologies and
Know-how: OLAP and Geographical Information Systems
(GIS).

3. Spatial OLAP merging OLAP and GIS via Open Source Tools.
Links and References

http://www.spatialytics.org/projects/geomondrian/
http://www.spatialbi.org
http://www.spatialytics.com
http://www.geobi.org
http://inspire.jrc.ec.europa.eu/reports/
Study_reports/catalonia_impact_study_report.pdf
Questions?
Contacts


Marco Giacomassi         Juan Arevalo
mail: marco@twinbit.it   mail: juan@twinbit.it
twitter: @marcogiaco     twitter: NO!
Thank you!
 Grazie mille!
Muchas gracias!


          “In the middle of
              difficulty lies
             opportunity.”

            Albert Einsten
Thinking spatially with your open data

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Thinking spatially with your open data