Kontur population

In the humanitarian sphere, having reliable population data kontur population crucial for prioritizing life-saving activities. Yet, detailed and free population data on a global scale is challenging to find.

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. Licence - Creative Commons Attribution International. World Population Prospects, Revision. Retrieved 10 February You logged out of HDX.

Switzerland population density for m H3 hexagons. When asked what they liked about Kontur Population the most, respondents stressed the level of detail kontur population granularity in the data.

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?

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. 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. More than individuals and organizations have created maps using our population dataset and posted them on Twitter. We are obtaining, processing, and correcting data from multiple sources to build Kontur Population, a global dataset with population counts in meter H3 hexagons.

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.

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Global Population dataset. Albania population density for m H3 hexagons. The map creators describe it this way:. Tonga: Population Density for m H3 Hexagons. Home Organisations kontur. Hundreds of participants use the data to create maps to visualize climate change, flood risk, water security, access to emergency services , and other topics. The population is shifted to neighboring cells to satisfy constraints. This feature is available for datasets shared publicly or privately by your organisation. 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. Initial query params Will be filled by logic in popup. At Kontur, one of our areas of expertise is creating global maps of critical service availability in populated areas, such as our Fire Service Scarcity Risk map. United Kingdom Population Density. 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. This dataset updates: As needed.

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,,,

User Location. HDX Dataviz Guidelines. No results. Thank you for using HDX! Reliable population data is a crucial part of such analysis. Guatemala: Population Density for m H3 Hexagons. No results. Finally, we have received several suggestions on further Kontur Population improvements. Greenland population density for m H3 hexagons. HDX feedback will be blind copied on this message so that we are aware of the initial correspondence related to datasets on the HDX site. See all.