Description
The spatial dataset delineates the boundaries of Functional Urban Areas (FUA) of Urban Centres in 2015. The automatic classification procedure developed in collaboration with the OECD estimates for each 1 sq km populated cells outside Urban Centres (obtained from GHS-POP R2019A) the probability of belonging to the commuting zone (or Area Of Influence, AOI) of the closest Urban Centre (GHS-UCDB R2019A). Cells estimated to be part of the AOI are combined
and polygonized to form estimated FUA (eFUA) boundaries.
Contact
Contributors
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- Marcello Schiavina
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0000-0003-3399-3400
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- Ana Moreno-Monroy
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0000-0002-8282-4067
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- Luca Maffenini
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- Paolo Veneri
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0000-0002-4640-5500
How to cite
Schiavina, Marcello; Moreno-Monroy, Ana; Maffenini, Luca; Veneri, Paolo (2019): GHS-FUA R2019A - GHS functional urban areas, derived from GHS-UCDB R2019A (2015). European Commission, Joint Research Centre (JRC) [Dataset] doi: 10.2905/347F0337-F2DA-4592-87B3-E25975EC2C95 PID: http://data.europa.eu/89h/347f0337-f2da-4592-87b3-e25975ec2c95
Keywords
FUA GHSL OECD Functional Urban Area global map eFUA GHS FUA GHS-FUA
Data access
Project Web site
Publications
- Publications Office of the European Union, Luxembourg, Luxembourg
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Abstract
Function Urban Areas (FUAs), as defined by the OECD and the European Union, are sets of contiguous local (administrative) units composed of a ‘city’ and its surrounding, less densely populated local units that are part of the city’s labour market (‘commuting zone’). To be included in the commuting zone, local units should at least 15% of their working population to the city. This definition is limited to the OECD countries and it is subject to both availability of commuting flows data at local level and to the definition of administrative unit boundaries. In the context of international comparability of urban-related statistics and indicators the aim of this task is to propose a FUA definition that does not depend on arbitrary and not harmonized administrative units and scale it to the globe. To pursue this goal it is proposed an automated classification procedure of FUAs based on objective characteristics (distance from the Urban Centre, area and population of the Urban Centre, local population and GDP per capita at national level), to classify areas within and outside FUAs. The automated classification of FUA is done in collaboration with the OECD and supported by DG REGIO. This document describes the public release of the GHSL-OECD Functional Urban Areas 2019 (GHS-FUA).
Geographic areas
Spatial coverage
| Type | Value |
|---|---|
| WKT | POLYGON((-180 90,180 90,180 -90,-180 -90,-180 90)) |
Temporal coverage
| From date | To date |
|---|---|
| 2015-01-01 | 2015-12-31 |
Additional information
- Published by
- European Commission, Joint Research Centre
- Created date
- 2019-11-26
- Modified date
- 2019-12-11
- Issued date
- 2019-12-03
- Landing page
- https://ghsl.jrc.ec.europa.eu/
- Language(s)
- English
- Data theme(s)
- Regions and cities, Science and technology
- Update frequency
- irregular
- Identifier
- http://data.europa.eu/89h/347f0337-f2da-4592-87b3-e25975ec2c95
- Popularity
-