Population density map (HRSL-GSHL) 2022
Data and Resources
This dataset has no data
Additional Info
| Field | Value |
|---|---|
| Source | https://app.mapx.org/static.html?views=MX-6YLMU-U4WXC-2JJD7&zoomToViews=true#JAAc6 |
| Author | UNEP/GRID-Geneva |
| Maintainer | UNEP/GRID-Geneva |
| Last Updated | December 7, 2022, 08:18 (UTC) |
| Created | December 7, 2022, 08:18 (UTC) |
| GUID | MX-6YLMU-U4WXC-2JJD7 |
| Issued | 2022-06-15 22:34:01 |
| Language | EN |
| Modified | 2022-06-15 22:37:26 |
| Publisher email | info@mapx.org |
| Publisher name | UNEP/GRID-Geneva |
| Theme | Web Map |
| data_type | geospatial |
| keywords_m49 | WLD |
| projects_description | Opportunity maps based on the combination of natural hazards, ecosystems and population exposure, showing where ecosystems can help prevent or mitigate hazards, reduce exposure to hazard impacts by functioning as natural buffers, and reduce vulnerability by supporting livelihoods |
| projects_id | MX-2LD-FBB-58N-ROK-8RH |
| projects_title | Ecosystem approaches for disaster risk |
| range_end_at_year | 2022 |
| range_start_at_year | 2022 |
| source_abstract | Population density map for 2022 at 30arcsec resolution. The layer integrates data from the High Resolution Settlement Layer (HRSL) - META (originally Facebook), the Global Human Settlement Layer (GHSL) - JRC, and the national population count for 2018 reported on the World Population Prospects 2019. Using the country borders (level 0) of the UN Cartographic Section 2020 (BNDA_CTY), countries with full data coverage from HRSL use it. Countries with missing or partial coverage from HRSL use GHSL. Both the original layers of HRSL and GHSL were, first, recalculated at 30arcsec resolution (~1km) through an aggregation process (sum) and, then, integrated in Google Earth Engine. Pixel counts were then recalculated for 2022 based on the country population data reported for 2022 by the World Population Prospects 2019. List of GIDs of polygons of the BNDA_CTY layer of the UNMap2020 at level 0 that uses population data from GSHL: [6, 203, 228, 111, 250, 203, 65, 22, 234, 146, 208, 77, 223, 157, 273, 81, 221, 116, 2, 51, 156, 191, 20, 101, 47, 266, 61, 62, 26, 286, 119, 197, 277, 189, 195, 213, 215, 214, 212, 35, 145, 232, 84, 56, 175, 239, 38, 222, 19, 27, 28, 196, 207, 206, 265, 274, 275, 276, 278, 279, 280, 281, 282, 283, 284, 285,122] Source of data: GHSL: GHS_POP_E2015_GLOBE_R2019A_4326_30SS_V1_0 (downloaded from JRC [https://ghsl.jrc.ec.europa.eu/download.php?ds=pop at 30arcsec resolution]) Dataset: Schiavina, Marcello; Freire, Sergio; MacManus, Kytt (2019): GHS population grid multitemporal (1975, 1990, 2000, 2015) R2019A. European Commission, Joint Research Centre (JRC) DOI: 10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218 [http://data.europa.eu/89h/0c6b9751-a71f-4062-830b-43c9f432370f] Concept & Methodology: Freire, Sergio; MacManus, Kytt; Pesaresi, Martino; Doxsey-Whitfield, Erin; Mills, Jane (2016): 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). AGILE 2016. HRSL: ee.ImageCollection("projects/sat-io/open-datasets/hrsl/hrslpop") on Google Earth Engine at 30m resolution. Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. World Population Prospects 2019 (UN) [https://population.un.org/wpp/] |
| source_title | Population density map (HRSL-GSHL) 2022 |
| spatial | WLD |