Description
This product contains the results of the classification of GADM 4.1 administrative units (from level 0 to 2) by the stage II Degree of Urbanisation to (1975-2100, 5 years interval) providing subnational statistics of population and built-up surface by Degree of Urbanisation.
Contact
Contributors
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- Marcello Schiavina
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0000-0003-3399-3400
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- Michele Melchiorri
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0000-0002-3009-8868
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- Sergio Freire
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0000-0003-2282-701X
How to cite
Schiavina, Marcello; Melchiorri, Michele; Freire, Sergio (2025): GHS-WUP-DUC R2025A – GHS-WUP Degree of Urbanisation Classification, application of the Degree of Urbanisation methodology (stage II) to GADM 4.1 layer, multitemporal (1975-2100). European Commission, Joint Research Centre (JRC) [Dataset] doi: 10.2905/5d99f849-6e55-46b4-bad3-82fadb8f1846 PID: http://data.europa.eu/89h/5d99f849-6e55-46b4-bad3-82fadb8f1846
Keywords
Country Statistics Degree of Urbanisation GHS-DUC global map GHSL GPW high density clusters low density clusters Settlement model Settlement projections urban centre urban-rural population urban cluster
Data access
Classification of GADM 4.1 administrative units (from level 0 to 2) by the stage II Degree of Urbanisation to (1975-2100, 5 years interval): subnational statistics of population and built-up surface by Degree of Urbanisation.
Publications
- Publications Office of the European Union, Luxembourg, Luxembourg
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Abstract
The CRISP model has been setup to disaggregate national population projections to 1km2 grid cells globally. This is done primarily to provide projections of population by degree of urbanisation for the 2025 World Urbanisation Prospects report produced by the UN. Many other applications are feasible with CRISP as well. The model estimates population and built-up area change in a three-step process. First, population and built-up area change are estimated for roughly 1000 functional areas taking into account national population projections. Second, new built-up area is allocated to grid cells considering distance to settlements, roads, water, current share of built-up area and other characteristics. Finally, population is added to newly built-up areas and more suitable locations and reduced in less suitable locations to capture internal migration (and natural population decline).
Geographic areas
Spatial coverage
| Type | Value |
|---|---|
| GML | <gml:Polygon xmlns:gml="http://www.opengis.net/gml"> <gml:outerBoundaryIs> <gml:LinearRing> <gml:coordinates>-180,90 180,90 180,-90 -180,-90 -180,90</gml:coordinates> </gml:LinearRing> </gml:outerBoundaryIs></gml:Polygon> |
| GML | <gml:Polygon xmlns:gml="http://www.opengis.net/gml/3.2"> <gml:exterior> <gml:LinearRing> <gml:posList>-180 90 180 90 180 -90 -180 -90 -180 90</gml:posList> </gml:LinearRing> </gml:exterior></gml:Polygon> |
| WKT | POLYGON ((-180 90, 180 90, 180 -90, -180 -90, -180 90)) |
Temporal coverage
| From date | To date |
|---|---|
| 1975-01-01 | 2100-12-31 |
Additional information
- Published by
- European Commission, Joint Research Centre
- Created date
- 2025-10-15
- Modified date
- 2025-11-04
- Issued date
- 2025-11-17
- Landing page
- http://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/5d99f849-6e55-46b4-bad3-82fadb8f1846
- Popularity
-