Calculating population is based on overlapping Global Human Settlement Layer (GHSL) with Facebook High Resolution Settlement Layer (HRSL) population data where available.
Known artifacts of both datasets are constrained using OpenStreetMap data as a hint. Quarries and big roads are marked unpopulated, as they are often falsely detected as populated in GHSL. Lakes, rivers, glaciers, sands, forests, and other similar areas are also marked as unpopulated.
We use Microsoft Building Footprint data, Land Information New Zealand and Copernicus Global Land Service: Land Cover 100m to improve the accuracy of population distribution.
Building presence, or otherwise built-up area, implies there’s someone on the ground, which is often missed in HRSL data for Africa.
We use scale coefficient taking into account the nesting of levels of administrative division in cases when the total population of the administrative area significantly differs from the official population data in OpenStreetMap.
Overly hot pixels like "half a million people in a quarter of square kilometer" are spread out to more realistic surroundings. The population is shifted to neighboring cells to satisfy constraints.
Non-integer populations are fixed up by "gluing people back together" to keep realistic human beings.
Caveats / Comments
Dataset is primarily designed to support visualization behind https://disaster.ninja project and may not be suitable for your specific needs.
Please contact us if you need custom processing or higher resolution version of this dataset.
fid [integer]: record order in data upload
h3 [h3index/text]: H3 index of hexagon
population [double]: total population inside hexagon
Global Human Settlement Layer: 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 PID: 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.
Copernicus Global Land Service: Land Cover 100m: Marcel Buchhorn, Bruno Smets, Luc Bertels, Bert De Roo, Myroslava Lesiv, Nandin-Erdene Tsendbazar, Martin Herold, Steffen Fritz. (2020). Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe (Version V3.0.1) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3939050