DATASET

GHS-DUC R2022A - GHS Degree of Urbanisation Classification, application of the Degree of Urbanisation methodology (stage II) to GADM 3.6 layer, multitemporal (1975-2030) - OBSOLETE RELEASE

Collection: GHSL : Global Human Settlement Layer 

Description

OBSOLETE RELEASE - The use of the GHSL Data Package 2022 (GHS P2022) is currently not recommended. CHECK FOR THE MOST UPDATED VERSION OF GHSL DATASETS AT https://ghsl.jrc.ec.europa.eu/datasets.php - This dataset contains the Global Degree of Urbanisation Classification of administrative units delineated by the Global ADMinistrative layer version 3.6 (GADM36) according to the application of stage II of the Degree of Urbanisation. The classification is based on the Global Human Settlement Layer (GHSL) global datasets GHS R2022: the settlement classification GHS-SMOD (GHS-SMOD_GLOBE_R2022A), population grid GHS-POP (GHS-POP_GLOBE_R2022A), and built-up surface GHS-BUILT-S (GHS-BUILT-S_GLOBE_R2022A) layers for target years 1975-2030 (5 years timestep). 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 72 CSV files, one per GADM level (from 0 to 5) and epoch (1975-2030), 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 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

Email
jrc-ghsl-data (at) ec.europa.eu

Contributors

How to cite

Schiavina, Marcello; Melchiorri, Michele; Freire, Sergio (2022): GHS-DUC R2022A - GHS Degree of Urbanisation Classification, application of the Degree of Urbanisation methodology (stage II) to GADM 3.6 layer, multitemporal (1975-2030) - OBSOLETE RELEASE. European Commission, Joint Research Centre (JRC) [Dataset] doi: 10.2905/F5224214-6B66-43DF-A9C6-CC974F17D803 PID: http://data.europa.eu/89h/f5224214-6b66-43df-a9c6-cc974f17d803

Keywords

Degree of Urbanisation DEGURBA GHS DUC GADM 3.6 GHS-DUC GHSL global Big Data

Data access

GHS-DUC_GLOBE_R2022A
URL 
  • 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 II of the Degree of Urbanisation for target years 1975-2030 (5 years timestep). The compressed ZIP file contain XLS and CSV files and short documentation.

GHSL website
URL 
  • Project Web site

GADM3.6 layer download page
URL 
  • 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

Publication 2022
GHSL Data Package 2022
Schiavina, M., Melchiorri, M., Pesaresi, M., Politis, P., Carneiro Freire, S.M., Maffenini, L., Florio, P., Ehrlich, D., Goch, K., Tommasi, P. and Kemper, T., GHSL Data Package 2022, Publications Office of the European Union, Luxembourg, 2022, ISBN 978-92-76-53071-8 (online),978-92-76-53070-1 (print), doi:10.2760/19817 (online),10.2760/526478 (print), JRC129516.
  • Publications Office of the European Union, Luxembourg, Luxembourg
Publication page 
  • Abstract

    The Global Human Settlement Layer (GHSL) produces new global spatial information, evidence-based analytics and knowledge describing the human presence on planet Earth. It operates in a fully open and free data and methods access policy. The knowledge generated with the GHSL is supporting the definition, the public discussion and the implementation of European policies and the monitoring of international frameworks such as the 2030 Development Agenda. The GHSL are the core data set of the Exposure Mapping Component under the Copernicus Emergency Management Service. This release is the first official contribution of GHSL to the Copernicus services. GHSL data continue to support 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. This document describes the public release of the GHSL Data Package 2022 (GHS P2022). The release provides improved built-up (including surface, volume and height) and population products as well as a new settlement model and classification of administrative and territorial units according to the Degree of Urbanisation.

Publication 2021
Applying the Degree of Urbanisation to the globe: A new harmonised definition reveals a different picture of global urbanisation
Dijkstra, L., Florczyk, A., Carneiro Freire, S.M., Kemper, T., Melchiorri, M., Pesaresi, M. and Schiavina, M., Applying the Degree of Urbanisation to the globe: A new harmonised definition reveals a different picture of global urbanisation, JOURNAL OF URBAN ECONOMICS, ISSN 0094-1190 (online), 125, 2021, p. 103312, JRC122903.
  • ACADEMIC PRESS INC ELSEVIER SCIENCE, SAN DIEGO, USA
Publication page 
  • 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.

Publication
Applying the Degree of Urbanisation — A methodological manual to define cities, towns and rural areas for international comparisons — 2021 edition
European Commission, and Statistical Office of the European Union, 2021. Applying the Degree of Urbanisation — A methodological manual to define cities, towns and rural areas for international comparisons — 2021 edition Publications Office of the European Union, 2021, ISBN 978-92-76-20306-3 doi:10.2785/706535
URL 

Geographic areas

World

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 2030-12-31

Additional information

Published by
European Commission, Joint Research Centre
Created date
2022-06-01
Modified date
2023-05-08
Issued date
2022-06-25
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/f5224214-6b66-43df-a9c6-cc974f17d803
Popularity