Kontur population

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

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.

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.

We are also grateful to the mappers who kontur population taken the time to comment on the dataset so we can use this input for future improvement. We've received your request! Seychelles: Population Density for m H3 Hexagons, 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.

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

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.

Love drawings

This property greatly simplifies performing analysis and smoothing over gradients. It is not visible to anyone outside of your organisation. 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. Seychelles: Population Density for m H3 Hexagons. Already a member? Albania population density for m H3 hexagons. Retrieved 10 February Dataviz Gallery. Not a member? Your email address.

Values represent number of people in cell.

More Modified [? Use group message to communicate and collaborate with other members of your organisation. Barbados: Population Density for m H3 Hexagons. Rwanda: Population Density for m H3 Hexagons. We've received your request! Take the survey. Many enthusiasts use Kontur Population data to create such maps, which get noticed by media outlets like Colossal. 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. Considering the extent of the global data, it is unsurprising that the original file is of a considerable size, even in a compressed form. The survey respondents found that using Kontur Population is more straightforward than other data sources. In the humanitarian sphere, having reliable population data is crucial for prioritizing life-saving activities. Your message was sent. Global Population dataset. Licence - Creative Commons Attribution International. Here is a glimpse of the feedback and what we learned from it.