by Corrado Iannucci 1 , Luca Congedo 2 , Michele Munafò 3 INPUT 2012 – Cagliari, 11 May 2012 1 Sapienza University, Rome, Italy. 2 DICEA Department of Civil, Constructional and Environmental Engineering, Sapienza University, Rome, Italy. 3 ISPRA Italian National Institute for Environmental Protection and Research, Rome, Italy.
Corrado Iannucci, Luca Congedo, Michele Munafò on "Urban sprawl indicators and spatial planning: the data interoperability in INSPIRE and Plan4all"
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by Corrado Iannucci1, Luca Congedo2, Michele Munafò3
INPUT 2012 – Cagliari, 11 May 2012
1 Sapienza University, Rome, Italy.2 DICEA Department of Civil, Constructional and Environmental Engineering, Sapienza University, Rome, Italy. 3 ISPRA Italian National Institute for Environmental Protection and Research, Rome, Italy.
The monitoring of Land Use/Land Cover (LULC) changes is a primary need for Spatial Planning.
The assessment of LULC changes requires the use of various data sources and spatial analysis.
Spatial phenomena like urban sprawl, often concern several Spatial phenomena like urban sprawl, often concern several administrative entities and levels.
Therefore Spatial Planning processes need to share homogeneous spatial data, coming from different administrations.
This study analyses the data interoperability issue in the context of INSPIRE Directive and Plan4all Project.
• Introduction
• Spatial Data Infrastructures
• Urban sprawl
• Landscape Metrics Indices
• INSPIRE Directive• INSPIRE Directive
• Plan4all Project
• Data models: application schemas
• Conclusions
• Spatial Data and Planning
• Data Interoperability• Themes
• Metadata
• Administrative levels
• Data heterogeneity
• Formats and types
• Conceptual data models
• Aggregation levels
• Classifications rules
• Multitemporal data
Adapted From: Tóth, K., et al. (2012) A Conceptual Model for Developing Interoperability Specifications in Spatial Data Infrastructures European Commission, European Commission JRC
From: Vancutsem D. (2011), Spatial planning and ICT, in Salvemini M., Vico F. and Iannucci C. , eds., Interoperability for spatial planning, Plan4all Project, Brussels BE.
Formula Unit
ha
%
n°
ha
From: McGarigal K. and Marks B. J. (1995), FRAGSTATS: Spatial Pattern Analysis Program for Quantifying Landscape Structure. USDA Forest Service GTR PNW-351.
m/ha
n°
[1 , ∞]
n°
[1 , 2]
Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007 establishing an Infrastructure for Spatial Information in the European Community (INSPIRE)
• Interoperability
• Reuse of old data• Reuse of old data
• 34 data themes
http://inspire.jrc.ec.europa.eu
Implementing Rules
end-2012 2014 2019
Fully adopted
mandatory for new data
mandatory for old data
“A Conceptual Model for Developing Interoperability Specifications in Spatial Data Infrastructures”
Annex I • 1. Coordinate reference systems • 2. Geographical grid systems • 3. Geographical names • 4. Administrative units • 5. Addresses • 6. Cadastral parcels • 7. Transport networks • 8. Hydrography
• 17. Land use • 18. Human health and safety • 19. Utility and governmental services • 20. Environmental monitoring facilities • 21. Production and industrial facilities • 22. Agricultural and aquaculture facilities • 23. Population distribution – demography • 24. Area management/restriction/regulation
zones & reporting units • 8. Hydrography• 9. Protected sitesAnnex II• 10. Elevation• 11. Land cover • 12. Ortho-imagery • 13. GeologyAnnex III • 14. Statistical units • 15. Buildings • 16. Soil
zones & reporting units • 25. Natural risk zones • 26. Atmospheric conditions • 27. Meteorological geographical features • 28. Oceanographic geographical features • 29. Sea regions • 30. Bio-geographical regions • 31. Habitats and biotopes • 32. Species distribution • 33. Energy Resources • 34. Mineral resources
Annex I • 1. Coordinate reference systems • 2. Geographical grid systems • 3. Geographical names • 4. Administrative units • 5. Addresses • 6. Cadastral parcels • 7. Transport networks • 8. Hydrography
• 17. Land use • 18. Human health and safety • 19. Utility and governmental services • 20. Environmental monitoring facilities • 21. Production and industrial facilities • 22. Agricultural and aquaculture facilities • 23. Population distribution – demography • 24. Area management/restriction/regulation zones & reporting units • 8. Hydrography
• 9. Protected sitesAnnex II• 10. Elevation• 11. Land cover • 12. Ortho-imagery • 13. GeologyAnnex III • 14. Statistical units • 15. Buildings • 16. Soil
zones & reporting units
• 25. Natural risk zones • 26. Atmospheric conditions • 27. Meteorological geographical features • 28. Oceanographic geographical features • 29. Sea regions • 30. Bio-geographical regions • 31. Habitats and biotopes • 32. Species distribution • 33. Energy Resources • 34. Mineral resources
• INSPIRE Planned Land Use application schema
11
2 3
• Simplified UML view of the Plan4all Land Use data model
2
From: Camerata F. , Čerba O., Del Fatto V., Sebillo M. and Vico F. (2011), Plan4all Data Models Definitions, in Salvemini M., Vico F. and Iannucci C., eds. (2011), Interoperability for Spatial Planning, Plan4all Project, Brussels BE.