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

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


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?)


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)


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)


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


2. Evaluatinginteroperabilitybetweenurban DB

b. Definingstatisticalindicatorsthatcandescribethesedifferent configurations


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


2. Evaluatinginteroperabilitybetweenurban DB

Results:

1) An evaluationof interoperability

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


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…


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 combiningandanalysingheterogeneousurban data

Roger Milego ([email protected])

Aalborg, ESPON Open Seminar 13-14 June 2012


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


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!

Roger Milego ([email protected])

Aalborg, ESPON Open Seminar 13-14 June 2012


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