Kontur population

In the humanitarian sphere, having reliable population data is crucial for prioritizing life-saving activities.

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. This blog post is about what we have learned through their maps and from their feedback. Every November, the Kontur team and hundreds of other mapping enthusiasts worldwide participate in the social mapping project 30DayMapChallenge by creating maps for 30 consecutive days.

Kontur population

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. Remember me. Not a member? Sign up with HDX to join the community and access more features. Your Email Address. I'd like to sign up for the Centre for Humanitarian Data Newsletter. Already a member? Sign in. We've received your request! Click on the verification email we sent to:.

March 11, November 01,

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.

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

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. This property greatly simplifies performing analysis and smoothing over gradients. Population calculations are based on the Global Human Settlement Layer GHSL — a framework relying on a large set of sensors, including radar and optical public and commercial missions. Quarries and big roads are marked as unpopulated, as they are often falsely detected as populated in GHSL.

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Sign in. Your name. Her map below shows the population in West Virginia living within a mile distance from a hospital, where the larger circles correspond to a higher population. Vector H3 hexagons with population counts at 22km resolution. The map creators describe it this way:. In addition, data on the population of the area surrounding the city is also important since the fringe areas may become part of the city. Ukraine Data Explorer. Czechia: Population Density for m H3 Hexagons. One Time Password. Each day of November has an official theme to be reflected in the map submitted on that day, and this year the Kontur Population dataset has become one of the daily themes. Guatemala population density for m H3 hexagons. About 30DayMapChallenge Every November, the Kontur team and hundreds of other mapping enthusiasts worldwide participate in the social mapping project 30DayMapChallenge by creating maps for 30 consecutive days. Non-integer population counts are rounded to integers. Please contact us if you need custom processing or higher resolution version of this dataset.

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.

It was our pleasure to see that Alicia Oberholzer had picked up a similar idea for her challenge submission. Non-integer population counts are rounded to integers. Real estate professionals also rely on these maps to identify trends and make informed decisions about property values and investments. See all. Related Showcases 0. The dataset was primarily designed to support visualization behind Disaster Ninja. Rwanda: Population Density for m H3 Hexagons. Click on the verification email we sent to:. Czechia: Population Density for m H3 Hexagons. Initial query params Will be filled by logic in popup. Barbados: Population Density for m H3 Hexagons. 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. The themes include climate change, flood risk, water security, access to emergency services, and general population distribution. Get a quote.