Kontur population

In the humanitarian sphere, having reliable population data is crucial for prioritizing life-saving activities. Yet, kontur population, detailed and free population data on a global scale is challenging to find. While it may be known to humanitarians, we were curious to see how a wider community of mappers less familiar with our data would experience using Kontur population Population.

In the humanitarian sphere, having reliable population data is crucial for prioritizing life-saving activities. It used to be a challenge if you were looking for a publicly available population density dataset. It was even more of a challenge if you needed global data of even quality. Making population data available helps Humanitarian organizations such as the Humanitarian OpenStreetMap Team and Canadian Red Cross figure out blank spots on maps or get more info on local OSM communities when combined with other datasets. The world population density map shows the distribution of people across the globe, with higher population densities typically concentrated in urban areas and lower densities in rural areas. Kontur Population dataset is represented by H3 hexagons with population counts at m resolution. The reason why we use H3 grid instead of the common square grid is that unlike squares, hexagons have equal distances between a hexagon centerpoint and the centers of neighboring cells.

Kontur population

Values represent number of people in cell. Release 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 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 United Nations population estimates and projections. 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. Please contact us if you need custom processing or higher resolution version of this dataset.

Rwanda: Population Density for m H3 Hexagons. Show 25 25 50

Kontur is a geospatial data and real-time risk management solutions provider for business, government and humanitarian organizations. You logged out of HDX. Thank you for using HDX! Not you? One Time Password.

Values represent number of people in cell. Release 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 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 United Nations population estimates and projections.

Kontur population

The map contains hexagons of approximately 1, feet meters in size. The same map can be created by you for any country or state, using this tutorial. As of the census, the total population of India is 1,,,

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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 United Nations population estimates and projections. Your message was sent. Czechia: Population Density for m H3 Hexagons. Dataviz Gallery. Canada Population Density. Interactive Data Data Viz 1 Open fullscreen. Many enthusiasts use Kontur Population data to create such maps, which get noticed by media outlets like Colossal. When evaluating the quality of maps submitted for 30DayMapChallenge, it is worth noting that they result from voluntary effort and, with a daily publishing frequency, typically have little preparation time. Thank you for using HDX! The map creators describe it this way:. Licence - Creative Commons Attribution International. HDX Dataviz Guidelines. No results. With the level of detail that meter hexagons provide, a map viewer can easily zoom in on familiar places and draw appropriate conclusions.

In the humanitarian sphere, having reliable population data is crucial for prioritizing life-saving activities. Yet, detailed and free population data on a global scale is challenging to find. While it may be known to humanitarians, we were curious to see how a wider community of mappers less familiar with our data would experience using Kontur Population.

Take this 5 minute survey to help the Centre shape its data literacy resources for humanitarians. This dataset is part of the data series [? Initial query params Will be filled by logic in popup. Page URL. Location of Interest. One Time Password. Canada Population Density. Data series [? Group Message. Closely related to climate change, the increasing flood risk is where its impact is most apparent.