6 datasets found
  1. e

    Republic of Korea - Population density - Dataset - ENERGYDATA.INFO

    • energydata.info
    Updated Jun 20, 2018
    + more versions
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    (2018). Republic of Korea - Population density - Dataset - ENERGYDATA.INFO [Dataset]. https://energydata.info/dataset/south-korea--population-density-2015
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    Dataset updated
    Jun 20, 2018
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Korea
    Description

    Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: East Asia and Pacific SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available. Republic of Korea data available from WorldPop here.

  2. South Korea: High Resolution Population Density Maps + Demographic Estimates...

    • cloud.csiss.gmu.edu
    zip
    Updated Jul 23, 2019
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    UN Humanitarian Data Exchange (2019). South Korea: High Resolution Population Density Maps + Demographic Estimates [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/south-korea-high-resolution-population-density-maps-demographic-estimates
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    zip(22884385), zip(40600996), zip(40583225), zip(22899740), zip(40587810), zip(22884239), zip(40614168), zip(46784496), zip(22894201), zip(22892284), zip(22910022), zip(40575707), zip(40613535), zip(22844991)Available download formats
    Dataset updated
    Jul 23, 2019
    Dataset provided by
    United Nationshttp://un.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Korea
    Description

    The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery.

  3. g

    Population Density Around the Globe

    • globalfistulahub.org
    Updated May 20, 2020
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    Direct Relief (2020). Population Density Around the Globe [Dataset]. https://www.globalfistulahub.org/maps/b71f7fd5dbc8486b8b37362726a11452
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    Dataset updated
    May 20, 2020
    Dataset authored and provided by
    Direct Relief
    Area covered
    Description

    Census data reveals that population density varies noticeably from area to area. Small area census data do a better job depicting where the crowded neighborhoods are. In this map, the yellow areas of highest density range from 30,000 to 150,000 persons per square kilometer. In those areas, if the people were spread out evenly across the area, there would be just 4 to 9 meters between them. Very high density areas exceed 7,000 persons per square kilometer. High density areas exceed 5,200 persons per square kilometer. The last categories break at 3,330 persons per square kilometer, and 1,500 persons per square kilometer.This dataset is comprised of multiple sources. All of the demographic data are from Michael Bauer Research with the exception of the following countries:Australia: Esri Australia and MapData ServicesCanada: Esri Canada and EnvironicsFrance: Esri FranceGermany: Esri Germany and NexigaIndia: Esri India and IndicusJapan: Esri JapanSouth Korea: Esri Korea and OPENmateSpain: Esri España and AISUnited States: Esri Demographics

  4. Population Density Around the Globe

    • directrelief.hub.arcgis.com
    • covid19.esriuk.com
    • +2more
    Updated May 20, 2020
    + more versions
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    Direct Relief (2020). Population Density Around the Globe [Dataset]. https://directrelief.hub.arcgis.com/datasets/DirectRelief::population-density-around-the-globe
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    Dataset updated
    May 20, 2020
    Dataset authored and provided by
    Direct Reliefhttp://directrelief.org/
    Area covered
    Description

    Census data reveals that population density varies noticeably from area to area. Small area census data do a better job depicting where the crowded neighborhoods are. In this map, the yellow areas of highest density range from 30,000 to 150,000 persons per square kilometer. In those areas, if the people were spread out evenly across the area, there would be just 4 to 9 meters between them. Very high density areas exceed 7,000 persons per square kilometer. High density areas exceed 5,200 persons per square kilometer. The last categories break at 3,330 persons per square kilometer, and 1,500 persons per square kilometer.This dataset is comprised of multiple sources. All of the demographic data are from Michael Bauer Research with the exception of the following countries:Australia: Esri Australia and MapData ServicesCanada: Esri Canada and EnvironicsFrance: Esri FranceGermany: Esri Germany and NexigaIndia: Esri India and IndicusJapan: Esri JapanSouth Korea: Esri Korea and OPENmateSpain: Esri España and AISUnited States: Esri Demographics

  5. s

    Democratic People's Republic of Korea 100m Urban change

    • eprints.soton.ac.uk
    Updated May 5, 2023
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    WorldPop, (2023). Democratic People's Republic of Korea 100m Urban change [Dataset]. http://doi.org/10.5258/SOTON/WP00070
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    Dataset updated
    May 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    WorldPop,
    Area covered
    North Korea
    Description

    DATASET: Alpha version 2000 and 2010 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and MODIS-derived urban extent change built in. REGION: Asia SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described on the website and in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM00urbchg.tif = Vietnam (VNM) population count map for 2000 (00) adjusted to match UN national estimates and incorporating urban extent and urban population estimates for 2000. DATE OF PRODUCTION: July 2013 Dataset construction details and input data are provided here: www.asiapop.org and here: http://www.plosone.org/article/info:doi/10.1371/journal.pone.0055882

  6. s

    Democratic People's Republic of Korea 100m Population

    • eprints.soton.ac.uk
    Updated May 5, 2023
    + more versions
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    WorldPop, (2023). Democratic People's Republic of Korea 100m Population [Dataset]. http://doi.org/10.5258/SOTON/WP00068
    Explore at:
    Dataset updated
    May 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    WorldPop,
    Area covered
    North Korea
    Description

    DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Asia SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM_popmap10adj_v2.tif = Vietnam (VNM) population count map for 2010 (popmap10) adjusted to match UN national estimates (adj), version 2 (v2). DATE OF PRODUCTION: January 2013

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(2018). Republic of Korea - Population density - Dataset - ENERGYDATA.INFO [Dataset]. https://energydata.info/dataset/south-korea--population-density-2015

Republic of Korea - Population density - Dataset - ENERGYDATA.INFO

Explore at:
Dataset updated
Jun 20, 2018
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
South Korea
Description

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: East Asia and Pacific SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available. Republic of Korea data available from WorldPop here.

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