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Regional and Urban Statistics Working Group meeting. 8-9 October 2009 The ESPON 2013 Programme: Prospects and Achievements. The ESPON 2013 Programme. Role in Structural Funds 2007-2013

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8-9 October 2009 The ESPON 2013 Programme: Prospects and Achievements


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slide1

Regional and Urban Statistics

Working Group meeting

8-9 October 2009

The ESPON 2013 Programme:

Prospects and Achievements

the espon 2013 programme
The ESPON 2013 Programme

Role in Structural Funds 2007-2013

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
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
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
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

Database

Monitoring

outline
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
Enlarge time, space, and thematics

Scale dimension:

  • Local (1 to 10 km )
  • Medium (10 to 1000 km)
  • Global (1000 to 10 000 km)

Time dimension:

  • Short term (1995-2015)
  • Medium term (1980-2020)
  • 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
... 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 (1995-2003)
  • Medium term (demography)
  • Long term (Europe in the World)

Thematic dimension :

  • Economic competitiveness
  • Sustainable environment
  • Social cohesion

Geographical object :

  • Administrative units
  • Cities & Networks
  • Grids
slide10

Strategic approach for the ESPON 2013 DB

Enlarge time series

Enlarge scales and levels

Enlarge cross-cutting themes

harmonisation of nuts changes
Harmonisation of NUTS changes

Formalisation of NUTS change at

NUTS 2 level in Finland (version 1999 and 2003)

GDP/inh evolution 1995-2004

GDP/inh 1995

GDP/inh 2004

1. Implement common data in each NUTS version by using historical databases

3. Creation of time-series by proposing different methodologies

2. Identification of NUTS changes

2004

harmonisation of nuts changes historical databases
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
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 databases1
Harmonisation of NUTS changes for temporal databases

Static NUTS 1 units between 1995 and 2006

Static NUTS 1 units between 2003 and 2006

slide15

Enlarging scales and levels

EVOLUTION OF POPULATION 2000-2005

Local – Medium - Global

Local – Medium - Global

Local– Medium - Global

Average anual

growth rate (%)

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

Spatial analysis tools applied to data control

GDP in EU27+4 by NUTS3 regions, 2000-2005

thematic structure towards an espon thesaurus
Thematic Structure: Towards an ESPON thesaurus?

Publications corpus

(>200 reports)

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, …)
urban issues from morphological zones to urban objects
Urban issues: From morphological zones to urban objects

UMZ

+

Population

Density grid

(last version)

+

Local

Administrative

Units

slide22

Thank you for your attention

More information:

www.espon.eu