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, kontur population.

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Kontur population

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. Initially, we developed the dataset as part of our Disaster Ninja project to help humanitarian organizations take confident action based on various data correlated with population density. Read more about the sources we use and the measures we take to improve the accuracy of the Kontur Population dataset. 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. Still, looking through all the maps where the challenge participants have used our dataset, we were impressed by their variety, visual attractiveness, the creativity applied to their creation, and the deeper insights they bring. Below, we want to share a few maps that address topics of particular significance to us at Kontur as a humanitarian mapping solutions provider. The themes include climate change, flood risk, water security, access to emergency services, and general population distribution. The map creators describe it this way:.

This feature is available for datasets shared publicly or privately by your organisation. Quarries and big roads are marked unpopulated, as they are often falsely detected as populated in Kontur population. Thank you for using HDX!

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.

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.

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,,, But at last count, more than 1. This fact makes it a strong competitor to China for the position of the most populous country in the world. You can use it for any purpose, even commercially. It provides information about the population density in India using m H3 Hexagons. The file size is MB.

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Barbados: Population Density for m H3 Hexagons. Values represent number of people in cell. United Arab Emirates population density for m H3 hexagons. Population data is applicable for visualization and insight extraction in various domains. Albania population density for m H3 hexagons. 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. This dataset updates: As needed. A society achieves a high level of water security when it can make the most of its water resources and limit the risk associated with water scarcity droughts , poor quality, or excessive amounts the flood risk discussed above. Ukraine Data Explorer. The dataset was primarily designed to support visualization behind Disaster Ninja. Reliable population data is vital in accurately analyzing flood hazard areas.

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.

We created a bivariate choropleth map to visualize the waste bin availability along with population density within one layer. 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. Portugal population density for m H3 hexagons. Already a member? 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. Similarly to the other featured map authors, she highlighted the importance of having reliable population data for accurately estimating the magnitude of socioeconomic and environmental challenges. Tell us about your challenges Please enable JavaScript in your browser to complete this form. Your Email Address. It used to be a challenge if you were looking for a publicly available population density dataset. Not you? Reliable population data is vital in accurately analyzing flood hazard areas. Services Solutions Datasets Blog Contact us. Thank you for using HDX!