304c21fb-0f5a-44ad-9948-2af6a7144fb5 eng dataset Population Counts WorldPop info@worldpop.org 2022-01-10T16:43:33 ISO 19115:2003/19139 1.0 2 21600 0.00833333 43200 0.008333333 false GCS_WGS_1984 Human Population Density (Global - Annual - 1 km) 2018-10-24 3.0 For all WorldPop datasets, please cite the WorldPop website as the source: www.worldpop.org. Additionally, for the Random Forests Population modelling script (wpRFPMS ) the suggested citation is the following: Bondarenko M. , Nieves J. J., Stevens F. R., Gaughan A. E., Tatem A. and Sorichetta A. 2020. wpgpRFPMS: Random Forests population modelling R scripts, version 0.1.0. University of Southampton: Southampton, UK. 10.5258/SOTON/WP00665 Estimated density of people per grid-cell, approximately 1km (0.008333 degrees) resolution. The units are number of people per Km² per pixel, expressed as unit: "ppl/Km²". The mapping approach is Random Forest-based dasymetric redistribution. The WorldPop project was initiated in October 2013 to combine the AfriPop, AsiaPop and AmeriPop population mapping projects. It aims to provide an open access archive of spatial demographic datasets for Central and South America, Africa and Asia to support development, disaster response and health applications. The methods used are designed with full open access and operational application in mind, using transparent, fully documented and peer-reviewed methods to produce easily updatable maps with accompanying metadata and measures of uncertainty. Acknowledgements information at https://www.worldpop.org/acknowledgements WorldPop datasets have been downloaded by researchers and policy makers from countries across the World, including 95% of the countries mapped by the project, resulting in valuable feedback and improvements to products. The data have been downloaded and used by a wide range of governments agencies. WorldPop outputs have been obtained and utilized by many international organizations, foundations and agencies including UNDP, UNEP, FAO, WHO, The World Bank, WFP, WWF, USGS, Red Cross International and UNOCHA. WorldPop info@worldpop.org https://bbmaps.itu.int/geonetwork/srv/api/records/304c21fb-0f5a-44ad-9948-2af6a7144fb5/attachments/thumbnail4265140577936322227.png Human Population Density (Global - Annual - 1km) people humans Modeled global distribution WorldPop HiH_Humans Tag_HiH Global Annual eng geoscientificInformation society planningCadastre economy GeoTiff -180.00 180.00 -90.00 90.00 2000-01-01 2020-12-31 Data Type: "Float32" No Data value: -9999 GeoTIFF 1.0 https://io.apps.fao.org/geoserver/wms/WPOP/WPOP_D/v2?service=WMS&version=1.3.0&request=GetCapabilities OGC:WMS-1.3.0-http-get-map PPL_D:YEAR:YEAR Human Population Density - WorldPop (Global - Annual - 1 km) https://www.worldpop.org/wprfpms WWW:LINK-1.0-http--link Download data from the Worldpop official website The method used for mapping the population density is based on the Random Forest-based dasymetric scripts. The wpRFPMS is a population modelling R script utilizing Random Forests to inform a dasymetric redistribution of census-based population count data. Read more about the method at https://doi.org/10.1371/journal.pone.0107042. All census data, zonal stats and covariates for 249 countries are stored on WorldPop FTP and downloaded into a project by using the R package at https://github.com/wpgp/wpgpCovariates.