![]() ![]() Imagery used to identify settlements is from the Maxar Basemap +Vivid. Population estimates are based on data from the Gridded Population of the World data collection. dfg-meta updated the dataset Portugal: High Resolution Population Density Maps + Demographic Estimates 2 years ago Data and Resources Metadata prtgeneral2020geotiff.zip zip (68.4M) Modified: 25 January 2022 No description for this resource. Accessed DAY MONTH YEAR.ĬIESIN contributions to the development of this work were supported by funding provided by Facebook. More information can be found here: Ĭitation To reference this data, please use the following citation: Facebook and Center for International Earth Science Information Network - CIESIN - Columbia University. ![]() This preserves the relative population totals across administrative units while matching the UN total. The resulting adjustment factor is multiplied by each administrative unit census value for the target year. The UN estimate for a given country (or state/territory) is divided by the total census estimate of population for the given country. For more information about the methodology used to create our high resolution population density maps and the demographic distributions, please visit: įor information about how to use HDX to access these datasets, please visit: Īdjustments to match the census population with the UN estimates are applied at the national level. The resulting maps are the most detailed and actionable tools available for aid and research organizations. Then we work with our partners at Columbia University to overlay general population estimates based on publicly available census data and other population statistics. To create our high-resolution maps, we use machine learning techniques to identify buildings from commercially available satellite images. Creative Commons Attribution International
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