Non-integer populations are fixed up by "gluing people back together" to keep realistic human beings.ĭataset is primarily designed to support visualization behind project and may not be suitable for your specific needs. The population is shifted to neighboring cells to satisfy constraints. Overly hot pixels like "half a million people in a quarter of square kilometer" are spread out to more realistic surroundings. 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. 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.īuilding presence, or otherwise built-up area, implies there’s someone on the ground, which is often missed in HRSL data for Africa. Lakes, rivers, glaciers, sands, forests, and other similar areas are also marked as unpopulated. Quarries and big roads are marked unpopulated, as they are often falsely detected as populated in GHSL. Known artifacts of both datasets are constrained using OpenStreetMap data as a hint. Kontur Population dataset was built based on H3: Hexagonal Hierarchical Spatial Index.Ĭalculating population is based on overlapping Global Human Settlement Layer ( GHSL) with Facebook High Resolution Settlement Layer ( HRSL) population data where available. Creative Commons Attribution International
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