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

• Cross-theme interoperability

• Data quality

• Data sharing services• Discovering

• Viewing• Viewing

• Downloading

• Data interoperability in SDI

• Definition of data specifications:• data models

• metadata profiles

• Evolution of cities: «egg analogy»

• Urban sprawl: unplanned, low-density urban expansion• impacts on natural resources

• impacts on people’s livelihoods

• Monitoring urban sprawl: Landscape Metrics Indices• Monitoring urban sprawl: Landscape Metrics Indices

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”

• conceptual framework of INSPIRE

http://inspire.jrc.ec.europa.eu/documents/Data_Specifications/IES_Spatial_Dahttp://inspire.jrc.ec.europa.eu/documents/Data_Specifications/IES_Spatial_Data_Infrastructures_(online).pdf

• Co-funded by the Community programme eContentplus

• Objective: • build spatial planning data models and metadata profiles according to

the INSPIRE principles

• focus on spatial planning as a whole process• focus on spatial planning as a whole process

• Concluded in 2011

http://www.plan4all.eu

“Plan4all Project, Interoperability for Spatial Planning”

• Excursus of the work

• Achievements

http://www.plan4all.eu/extractor/fileReader.php?file=plan4all-book-web.pdfhttp://www.plan4all.eu/extractor/fileReader.php?file=plan4all-book-web.pdf

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.

1

3

Urban Sprawl

LocalData andIndicators

Conceptualmodels

Data Harmonization

Data Specifications

SDI

National data

Interoperability among models

Data Transformation

Interoperability

Specifications

Web publishingPlanning processes

ServicesOpen data

data

Flexiblespecifications

Need for testing

International data

Thank you for your attention.