Kontur population

Kontur is a geospatial data and real-time risk management solutions provider for business, government and humanitarian organizations.

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.

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:.

Data Check - Use data with HXL hashtags to automatically detect errors and validate against common vocabularies.

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.

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.

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. Kontur Population is a publicly available dataset that provides information about population density across the globe.

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The dataset was primarily designed to support visualization behind Disaster Ninja. Dataviz Gallery. Data Grids. Considering the extent of the global data, it is unsurprising that the original file is of a considerable size, even in a compressed form. 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. Tonga population density for m H3 hexagons. Refine your search: Clear all. Data Datasets [] Archived Datasets [0] [? One of them is Spencer Schien, whose visualization above limits the Kontur Population data to ten miles on either side of the Mississippi River. United States Population Density. The population is shifted to neighboring cells to satisfy constraints. See all. Reliable population data is a crucial part of such analysis.

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.

Read more about the sources we use and the measures we take to improve the accuracy of the Kontur Population dataset. Lesotho: Population Density for m H3 Hexagons. We also publish per-country subsets of Kontur Population at m resolution. Per-country subsets of Kontur Population can be found here: data. Albania: Population Density for m H3 Hexagons. Vector H3 hexagons with population counts at m resolution. Your name. Your email address. 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. This dataset updates: As needed. These maps can help municipal authorities and urban planners optimize the coverage of various city services. Data Check - Use data with HXL hashtags to automatically detect errors and validate against common vocabularies.