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!

We created a bivariate choropleth map to visualize the waste bin availability along with population density within one layer. Non-integer populations are fixed up by aaa trusses people back together' to keep realistic human beings, kontur population. The map creators considered the meter tiling at H3 resolution 8 to be a significant kontur population compared to highly aggregated population datasets.

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.

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.

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.

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By using this site you consent to the use of cookies. Rwanda: Population Density for m H3 Hexagons. More than individuals and organizations have created maps using our population dataset and posted them on Twitter. We are happy that the data proved applicable for visualization and insight extraction in many domains, such as those mentioned in this post. Initial query params Will be filled by logic in popup. 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. This dataset is part of the data series [? Vector H3 hexagons with population counts at m resolution. Your name. 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. Albania population density for m H3 hexagons.

Values represent number of people in cell. Release Known artifacts of both datasets are constrained using OpenStreetMap data as a hint.

While floods have fewer casualties than earthquakes or storms, they have the highest annual average number of people affected compared to other disaster types — 83 million, according to United Nations Office for Disaster Risk Reduction data. Rwanda population density for m H3 hexagons. American Samoa population density for m H3 hexagons. The dataset was primarily designed to support visualization behind Disaster Ninja. Release Lakes, rivers, glaciers, sands, forests, and other alike land uses are marked as unpopulated. We've received your request! Sign up with HDX to join the community and access more features. Guatemala population density for m H3 hexagons. I'd like to sign up for the Centre for Humanitarian Data Newsletter.