Description
This dataset contains the Global Degree of Urbanisation Classification of adminstrative units delineated by the Global ADMinistrative layer version 3.6 (GADM36) according to the application stage 2 of the Degree of Urbanisation. The classification is based on the Global Human Settlement Layer (GHSL) global datasets GHS R2019: the settlement classification GHS-SMOD (GHS_SMOD_POP_GLOBE_R2019A), population grid GHS-POP (GHS_POP_MT_GLOBE_R2019A), and built-up area GHS-BUILT (GHS_BUILT_LDSMT_GLOBE_R2018A) layers for target years 1975, 1990, 2000 and 2015.
This dataset contains a package composed by one excel table, a summary table gathering global summary statistics and by countries and territories in GADM3.6, and 24 CSV files, one per GADM level (from 0 to 5) and epoch (1975-1990-2000-2015), with all administrative units classified according to the Degree of Urbanisation
The spatial delineation of GADM 3.6 administrative units is available at GADM official website (accessible through the link below). Please select the the whole world shapefile as six separate layers (one for each level of subdivision/aggregation). The vector layers can be used to join each classification table (csv) with the actual spatial units.
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 (2021): GHS-DUC R2019A - GHS Degree of Urbanisation Classification (2015, 2000, 1990, 1975), R2019A - OBSOLETE RELEASE. European Commission, Joint Research Centre (JRC) [Dataset] doi: 10.2905/ED8E8E11-62C3-4895-A7B9-5EF851F112ED PID: http://data.europa.eu/89h/ed8e8e11-62c3-4895-a7b9-5ef851f112ed
Keywords
Big Data Degree of Urbanisation DEGURBA GADM 3.6 GHS DUC GHS SMOD GHS-DUC GHS-SMOD GHSL Global
Data access
GHS statistics on Degree of Urbanisation Classification, classification of all administrative units delineated by the Global ADMinistrative layer version 3.6 (GADM36) according to the stage 2 of the Degree of Urbanisation
for target years 1975, 1990, 2000 and 2015. The compressed ZIP file contain XLS and CSV files and short documentation.
Original GADM3.6 shapefile dataset Download the six separate layers (one for each level of subdivision/aggregation) to join the GHS-DUC tables with spatial units.
Publications
- ACADEMIC PRESS INC ELSEVIER SCIENCE, SAN DIEGO, USA
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Abstract
The Degree of Urbanisation is a new definition of cities, towns and semi-dense areas, and rural areas endorsed by the UN Statistical Commission. The urban population share according to the Degree of Urbanisation is similar to the one based on national definitions in the Americas,Europe and Oceania, but considerably higher in Africa and Asia. An empirical analysis and a comparison of concepts suggest that towns are likely to be classified as rural areas in Africa and Asia and as urban areas in other parts of the world. The paper shows that cities cover only a small share of land, but this share doubled over the past forty years, as has the number of cities. Although cities have expanded rapidly, their population grew even faster leading to higher densities. The paper tests two classic urban facts: 1) the cities and towns as defined by the Degree of Urbanisation closely follow Zipf’s law 2) the population shares in urban areas, cities and especially metropolitan areas are positively and significantly correlated with the level of economic development. Lastly, the sensitivity of the classification of population and land are tested by varying the population size and density thresholds as well using a different global population grid.
- Publications Office of the European Union, Luxembourg, Luxembourg
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Abstract
The Global Human Settlement Layer (GHSL) produces new global spatial information, evidence-based analytics and knowledge describing the human presence on the planet Earth. The GHSL operates in a fully open and free data and methods access policy, building the knowledge supporting the definition, the public discussion and the implementation of European policies and the international frameworks as the 2030 Development Agenda and the related thematic agreements. The GHSL supports the GEO Human Planet Initiative (HPI) that is committed to developing a new generation of measurements and information products providing new scientific evidence and a comprehensive understanding of the human presence on the planet and that can support global policy processes with agreed, actionable and goal-driven metrics. The Human Planet Initiative relies on a core set of partners committed in coordinating the production of the global settlement spatial baseline data. One of the core partners is the European Commission, Directorate General Joint Research Centre, Global Human Settlement Layer project. The Global Human Settlement Layer project produces global spatial information, evidence-based analytics, and knowledge describing the human presence in the planet. This document describes the public release of the GHSL Data Package 2019 (GHS P2019).
Spatial coverage
Type | Value |
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GML | <gml:Polygon xmlns:gml="http://www.opengis.net/gml"> <gml:outerBoundaryIs> <gml:LinearRing> <gml:coordinates>179.99,84 -179.99,84 -179.99,-55.99 179.99,-55.99 179.99,84</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>179.99 84 -179.99 84 -179.99 -55.99 179.99 -55.99 179.99 84</gml:posList> </gml:LinearRing> </gml:exterior></gml:Polygon> |
WKT | POLYGON ((179.99 84, -179.99 84, -179.99 -55.99, 179.99 -55.99, 179.99 84)) |
Temporal coverage
From date | To date |
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1975-01-01 | 2015-12-31 |
Additional information
- Published by
- European Commission, Joint Research Centre
- Created date
- 2021-10-12
- Modified date
- 2025-02-27
- Issued date
- 2021-10-17
- Landing page
- http://ghsl.jrc.ec.europa.eu/
- Language(s)
- English
- Data theme(s)
- Environment, International issues, Regions and cities, Population and society, Science and technology
- Update frequency
- irregular
- Identifier
- http://data.europa.eu/89h/ed8e8e11-62c3-4895-a7b9-5ef851f112ed
- Popularity
-