JRC Data Catalogue
DATASETCompleted

GHS-POP R2015A - GHS population grid, derived from GPW4, multitemporal (1975, 1990, 2000, 2015) - OBSOLETE RELEASE

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OBSOLETE RELEASE

Get the latest release at https://ghsl.jrc.ec.europa.eu/download.php

The Global Human Settlement Layer (GHSL) project is supported by European Commission, Joint Research Center and Directorate-General for Regional and Urban Policy. The GHSL produces new global spatial information, evidence-based analytics, and knowledge describing the human presence in the planet.

The GHSL relies on the design and implementation of new spatial data mining technologies allowing to process automatically and extract analytics and knowledge from large amount of heterogeneous data including: global, fine-scale satellite image data streams, census data, and crowd sources or volunteering geographic information sources. Spatial data reporting objectively and systematically about the presence of population and built-up infrastructures are necessary for any evidence-based modelling or assessing of i) human and physical exposure to threats as environmental contamination and degradation, natural disasters and conflicts, ii) impact of human activities on ecosystems, and iii) access to resources.

This spatial raster dataset depicts the distribution and density of population, expressed as the number of people per cell. Residential population estimates for target years 1975, 1990, 2000 and 2015 provided by CIESIN GPWv4 were disaggregated from census or administrative units to grid cells, informed by the distribution and density of built-up as mapped in the Global Human Settlement Layer (GHSL) global layer per corresponding epoch.

Contributors

How to cite

European Commission, Joint Research Centre; Columbia University, Center for International Earth Science Information Network (2026): GHS-POP R2015A - GHS population grid, derived from GPW4, multitemporal (1975, 1990, 2000, 2015) - OBSOLETE RELEASE. European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.B18KT1G PID: http://data.europa.eu/89h/jrc-ghsl-ghs_pop_gpw4_globe_r2015a

Keywords

GHS-POPGHSLglobal mapGPWPopulation grid

Data access

TIFF

TIFF – Tagged Image File Format – is a computer file format for storing raster graphics images, popular among graphic artists, the publishing industry and photographers. TIFF is widely supported by scanning, faxing, word processing, optical character recognition, image manipulation, desktop publishing and page-layout applications. The format was created by Aldus Corporation for use in desktop publishing.

Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • GHS population grid, derived from GPW4, for 1975, 1990, 2000 and 2015. Values are expressed as decimals (Float). The data is published at medium and low resolution (250m and 1km respectively) in World Mollweide (EPSG:54009). The compressed ZIP file contain TIF files and short documentation.

Other resources

HTML

HTML is the standard markup language used to create web pages and its elements form the building blocks of all websites.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • Project Web site

PDF

PDF – Portable Document Format – is a file format developed to present documents, including text formatting and images, in a manner independent of application software, hardware and operating systems. Based on the PostScript language, each PDF file encapsulates a complete description of a fixed-layout flat document, including the text, fonts, vector graphics, raster images and other information needed to display it. PDF was standardized as an open format and does not require any royalties for its implementation.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

Publications

Publication
Carneiro Freire S; Macmanus K; Pesaresi M; Doxsey-Whitfield E; Mills J. Development of new open and free multi-temporal global population grids at 250 m resolution . Geospatial Data in a Changing World; Association of Geographic Information Laboratories in Europe (AGILE) (Organiser). AGILE; 2016. JRC100523
AGILE
  • Global population grids are increasingly used and required for countless applications in analysis, modeling, and policy-making. However, better and comparable global information requires improved geospatial data on population distribution and densities, in particular concerning temporal and spatial resolution and capacity for change assessment.

    This paper presents the development of improved global multi-temporal population grids, by combining best-available population estimates for 1975, 1990, 2000 and 2014, with best-available assessment of the spatial extents of human settlements as inferred from Landsat satellite data for same periods. Using a dasymetric mapping approach, population is disaggregated from finest census or administrative units to built-up areas. These 250-m grids represent population changes in time, having also higher spatial resolution than those previously available.

    The novel population grids constitute currently the de facto state-of-the-art in terms of open global geospatial population data, potentially enabling advances in many of the fields where this information is relevant.

Temporal coverage

From date To date
1975-01-01 2015-12-30

Additional information

Published by
European Commission, Joint Research Centre
Contact email
jrc-ghsl-data (at) ec.europa.eu
Update frequency
irregular

The event occurs at uneven intervals.

Language(s)
English

English is a member of the West Germanic group of the Germanic languages. It is an official language of almost 60 sovereign states and is now a global lingua franca.It is the third-most-common native language in the world and it is widely learned as a second language.

Data theme(s)
Regions and cities

dataset theme covering the domains of regions and cities, where regions is defined by political geography units including sovereign states, subnational administrative areas, and multinational groupings, and cities are characterised as large human settlements

Science and technology

dataset theme covering the domains of science and technology, with science being the systematic pursuit of knowledge through testable explanations and predictions across natural, social, and formal disciplines, and technology encompassing the collective techniques, skills, methods, and processes used in producing goods, providing services, or achieving objectives like scientific research

Geographical name(s)
Issued date
2015-01-12
Created date
14 Dec 2018 10:41
Modified date
05 May 2021 15:45
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Dataset identifier
Other identifiers
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