8-9 October 2009 The ESPON 2013 Programme: Prospects and Achievements Regional and Urban Statistics Working Group meeting

The ESPON 2013 Programme Role in Structural Funds – Support policy development with evidence on territorial structures, trends, perspectives and policy impacts Mission – Provide comparable information on territorial dynamics – Reveal territorial capital and potentials Budget – 47 mill. Euro, – 34 mill. Euro from the European Commission – 13 mill. Euro from 31 countries participating (EU 27 + Iceland, Liechtenstein, Norway and Switzerland) Programme structure – 5 Programme priorities

5 Priorities The work programme is structured in five priorities: P1.Applied Research on territorial development, competitiveness and cohesion: Evidence on European territorial trends, perspectives and policy impacts; P2.Targeted Analysis based on user demand: European perspective to development of different types of territories; P3.Scientific Platform and Tools: Territorial indicators and data, analytical tools and scientific support; P4.Capitalisation, ownership and participation: Capacity building, dialogue and networking. P5.Technical Assistance, Analytical Support & Communication

Open Calls in 2009 On 16 September Calls for Proposals and Expression of Interests are opened - deadline: 11 November 2009 P1.Applied Research –6 projects running –11 new projects are in call for proposals P2.Targeted Analysis –6 projects running –2 new projects are in call for proposals –10 new stakeholder ideas are called P3.Scientific Platform and Tools –1 project running –1 project is in call for proposals –scientific tools and map updates P4.Capitalisation −7 Transnational Networking Activities in call for proposals

Priority 3: Scientific Platform and Tools Four types of action: ESPON Database and data development Territorial Indicators/Indices and Tools Territorial Monitoring System and Reports Targeted Actions for Updates of Indicators and Maps Triad: Territorial Indicators /Indices DatabaseMonitoring

Outline Strategic approach of the ESPON 2013 DB project - Enlarge time, space and thematics - Overcome lacunas Practical examples of progresses achieved with the current deliveries - Harmonisation of NUTS changes - Integration of socio-economic data with Corine Land Cover - Methods for detecting errors and exceptional values - Thematic structure: Towards an ESPON thesaurus? - From UMZ to Urban Audit LUZ

Enlarge time, space, and thematics Scale dimension: Local (1 to 10 km ) Medium (10 to 1000 km) Global (1000 to km) Time dimension: Short term ( ) Medium term ( ) Long Term (1950 – 2050) Thematic dimension : Economic competitiveness Sustainable environment Social cohesion Geographical object : Administrative units Grids Cities & Networks

... identify lacunas in comparison with to the previous ESPON database Scale dimension: Local (Zooms) Medium (Nuts2 / Nuts3) Global (Europe in the WOrld) Time dimension: Short term ( ) Medium term (demography) Long term (Europe in the World) Thematic dimension : Economic competitiveness Sustainable environment Social cohesion Geographical object : Administrative units Cities & Networks Grids

Strategic approach for the ESPON 2013 DB ESPON DB 2006ESPON DB 2013

Strategic approach for the ESPON 2013 DB Enlarge time series Enlarge scales and levelsEnlarge cross-cutting themes

Identification of NUTS changes 1. Implement common data in each NUTS version by using historical databases 3. Creation of time-series by proposing different methodologies GDP/inh evolution GDP/inh 1995GDP/inh 2004 Formalisation of NUTS change at NUTS 2 level in Finland (version 1999 and 2003) Harmonisation of NUTS changes

Harmonisation of NUTS changes: historical databases Explore historical databases, namely NewChronos database A common methodology has been defined in order to sistematically check what is temporal, geographical and thematic coverage of indicators

Harmonisation of NUTS changes for temporal databases NUTS entities (name, code, geometry, and hierarchical level) from NUTS 1995 to NUTS 2006 have been identified Next stages will involve the production of typologies of changes in order to propose adapted solutions to harmonise time series

Harmonisation of NUTS changes for temporal databases Static NUTS 1 units between 1995 and 2006 Static NUTS 1 units between 2003 and 2006

EVOLUTION OF POPULATION Average anual growth rate (%) Local – Medium - Global Enlarging scales and levels

Combining socio-economic data with Corine Land Cover GDP per inhabitant, 2002

Spatial analysis tools applied to data control Statistical methods for detecting expectional values (i.e. boxplot filter) High (blue) and low (red) aspatial outliers High valued outliers seem to be prevalent in the more recent accession countries Italy has a mixture of high valued outliers neighbouring low valued outliers Britanny region looks interesting too GDP in EU27+4 by NUTS3 regions,

Thematic Structure: Towards an ESPON thesaurus? Goal Thesaurus for organizing and facilitating data retrieval via metadata keywords fields Methods Review of database thematic structures (ESPON, OECD, ILO) and thesaurus building methods (ESTAT, EUROVOC) Text mining methods (frequency, co-occurrence, cluster analyses) applied to comprehensive list of reports, studies, policy notes that make reference to ESPON evidence and results (EC, EP, CoR, EESC, …) Publications corpus (>200 reports)

Urban issues: From morphological zones to urban objects + + UMZ Population Density grid (last version) Local Administrative Units

URBAN AUDIT LUZ DELINEATIONS (1)

URBAN AUDIT LUZ DELINEATIONS (2)

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