Urban delineations and data bases in europe espon data base m4d
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Urban delineations and data bases in Europe, ESPON Data Base M4D. A.Bretagnolle 1 , M.Guérois 1 , H. Mathian 1 , A.Pavard 1 1 UMR Géographie-cités, Universités Paris 1 et Paris 7 Aalborg, ESPON Open Seminar 13 June 2012, Development of urban regions in Europe: Key drivers and perspectives.

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Urban delineations and data bases in europe espon data base m4d

Urban delineations and data bases in Europe, ESPON Data Base M4D

A.Bretagnolle1, M.Guérois1, H. Mathian1, A.Pavard1

1UMR Géographie-cités, Universités Paris 1 et Paris 7

Aalborg, ESPON Open Seminar 13 June 2012, Development of urban regions in Europe:

Key drivers and perspectives


Several urban db currently available at european scale

Introduction

Severalurban DB currentlyavailableatEuropeanscale:

  • How to manage thisdiversity?

  • Twoworks in progress:

  • Integratingspecifications

  • -Evaluatinginteroperability

  • How to enrich the databases?

  • By agregationsfrom local data

  • (using a referencelevel?)


Urban delineations and data bases in europe espon data base m4d

1. Integratingspecifications

(morphological DB)

The aimis to formalize the metadata in order to help the userschoosingthe mostappropriate DB regardingtheirscientifictargets

Methods: usingsame « grammar » to describe the DB and makethem more comparable

Results: specificities (sources, parameters) but alsostrongsimilarites (construction steps)


Urban delineations and data bases in europe espon data base m4d

Integratingspecifications

(FUA, work in progress)

Methods: samethan for morphological areas

Results: specificities (sources for urbancore, parameters, the waypolycentricity cases are considered) but alsostrongsimilarities(construction steps)


Urban delineations and data bases in europe espon data base m4d

2. Evaluatinginteroperabilitybetweenurban DB (degree of compatibility between data)

The aimis to evaluate if wecan compare someindicatorsmeasured for a city or urbanregion in the 2 DB, or enrich a DB using the data of another DB

A genericmethod (here, applied to MUA and UMZ):

a. Defining(a priori) 4 types of overlapping


Urban delineations and data bases in europe espon data base m4d

2. Evaluatinginteroperabilitybetweenurban DB

b. Definingstatisticalindicatorsthatcandescribethesedifferent configurations


Urban delineations and data bases in europe espon data base m4d

2. Evaluatinginteroperabilitybetweenurban DB

Interoperability

c. Testing the sensitivity of the indicators to real configurations of overlapping

(476 MUA > 100 000 inh. And UMZ)

Results:

1) An evaluationof interoperability


Urban delineations and data bases in europe espon data base m4d

2. Evaluatinginteroperabilitybetweenurban DB

Results:

1) An evaluationof interoperability

2) A typologyof MUA according to the built-up area patterns


Urban delineations and data bases in europe espon data base m4d

3. How to enrichurbandatabases?

Agregation of data from local level to the meso-level of the cities:1) fromLAU2 (richness of socio-demographic data): diffentialaccessibility of bluecollars or executives2) fromgrid data (fine resolution for environ. , demog. data or other): number of people locatedatlessthanhalf an hourfrom the city center…


Urban delineations and data bases in europe espon data base m4d

3. How to enrichurbandatabases?

« Whichreferencelevel » dependsalso on the scale of the study

Local scale: gridisfiner and much more accurate

Cost-transportation zones: no real differences


The espon urban olap cube a tool for combining and analysing heterogeneous urban data

The ESPON Urban OLAP Cube: a tool for combiningandanalysingheterogeneousurban data

Roger Milego ([email protected])

Aalborg, ESPON Open Seminar 13-14 June 2012


Olap technology

OLAP technology

  • OLAP (OnLine Analytical Processing): category of software tools designed to help in the extraction of information from data to support better decision-making.

  • Multidimensionaldata model, complex analytical and ad-hoc queries, rapid execution time.

  • OLAP Cube = some countable variables (measures) such as ha. aggregated by a set of dimensions: spatial (e.g. NUTS regions), thematic (e.g. land cover) and temporal.

  • An OLAP Cube can be queried online and offline (.CUB file, from MS Excel).


Olap cube a cocktail of data

OLAP Cube: A “cocktail” of data


Urban olap cube

Urban OLAP Cube

NUTS

100 x 100 m Grid

OLAP Cube

OLAP Database

Soil sealing

Urban Atlas

Corine Land Cover

LUZ

SupraUMZ

End Users

Also Protected Sites (N2000+CDDA)

Population figures and Area as measures


Thank you for your attention

Thank you for your attention!

Roger Milego ([email protected])

Aalborg, ESPON Open Seminar 13-14 June 2012


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