Kontur population

Kontur is a geospatial data and real-time risk management solutions provider for business, government and humanitarian organizations. You logged kontur population of HDX. Thank you for using HDX! Not you?

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

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. Lakes, rivers, glaciers, sands, forests, and other alike land uses are marked as unpopulated. While the population total is accurate, extremely populated cells i. Non-integer population counts are rounded to integers.

Reliable population data is a crucial part of such analysis. User Location, kontur population. Please contact us if you need custom processing or higher resolution version of this dataset.

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.

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.

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Greenland population density for m H3 hexagons. 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. We are also grateful to the mappers who have taken the time to comment on the dataset so we can use this input for future improvement. 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. World population density map. Take this 5 minute survey to help the Centre shape its data literacy resources for humanitarians. Use the form to ask a question or provide comments about this dataset to the contributor. Guatemala: Population Density for m H3 Hexagons. Already a member? Not a member? We teamed up with volunteers in Batumi to help them approach the problem of litter that pollutes streets, parks, rivers, and beaches within the city. Greenland: Population Density for m H3 Hexagons. There are three resolution versions available to download: — Global Population Density for m H3 Hexagons 6. Through comments on Twitter over the challenge month and in a dedicated survey conducted shortly after, we have received many remarks on the usability and quality of the Kontur Population dataset.

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.

It was a great pleasure to see the active involvement of survey respondents and other participants of 30DayMapChallenge in feedback and recommendations on our dataset. Click on the verification email we sent to:. We can provide customized datasets and analytics for you. 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. 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. When a disaster strikes, humanitarian mapping teams do their best to quickly and accurately map the affected area, providing the missing World Population Prospects, Revision. Home Organisations kontur. It is not visible to anyone outside of your organisation. Many enthusiasts use Kontur Population data to create such maps, which get noticed by media outlets like Colossal. South Africa population density for m H3 hexagons. Less More. Values represent number of people in cell. One Time Password.