2 datasets found
  1. GlobPOP: A 33-year (1990-2022) global gridded population dataset (Version...

    • zenodo.org
    tiff
    Updated Sep 4, 2024
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    Luling Liu; Xin Cao; Xin Cao; Shijie Li; Na Jie; Luling Liu; Shijie Li; Na Jie (2024). GlobPOP: A 33-year (1990-2022) global gridded population dataset (Version 2.0-test-alpha) [Dataset]. http://doi.org/10.5281/zenodo.11071249
    Explore at:
    tiffAvailable download formats
    Dataset updated
    Sep 4, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Luling Liu; Xin Cao; Xin Cao; Shijie Li; Na Jie; Luling Liu; Shijie Li; Na Jie
    License

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

    Description

    Data Usage Notice

    This version is not recommended for download. Please check the newest version.

    We would like to inform you that the updated GlobPOP dataset (2021-2022) have been available in version 2.0. The GlobPOP dataset (2021-2022) in the current version is not recommended for your work. The GlobPOP dataset (1990-2020) in the current version is the same as version 1.0.

    Thank you for your continued support of the GlobPOP.

    If you encounter any issues, please contact us via email at lulingliu@mail.bnu.edu.cn.

    Introduction

    Continuously monitoring global population spatial dynamics is essential for implementing effective policies related to sustainable development, such as epidemiology, urban planning, and global inequality.

    Here, we present GlobPOP, a new continuous global gridded population product with a high-precision spatial resolution of 30 arcseconds from 1990 to 2020. Our data-fusion framework is based on cluster analysis and statistical learning approaches, which intends to fuse the existing five products(Global Human Settlements Layer Population (GHS-POP), Global Rural Urban Mapping Project (GRUMP), Gridded Population of the World Version 4 (GPWv4), LandScan Population datasets and WorldPop datasets to a new continuous global gridded population (GlobPOP). The spatial validation results demonstrate that the GlobPOP dataset is highly accurate. To validate the temporal accuracy of GlobPOP at the country level, we have developed an interactive web application, accessible at https://globpop.shinyapps.io/GlobPOP/, where data users can explore the country-level population time-series curves of interest and compare them with census data.

    With the availability of GlobPOP dataset in both population count and population density formats, researchers and policymakers can leverage our dataset to conduct time-series analysis of population and explore the spatial patterns of population development at various scales, ranging from national to city level.

    Data description

    The product is produced in 30 arc-seconds resolution(approximately 1km in equator) and is made available in GeoTIFF format. There are two population formats, one is the 'Count'(Population count per grid) and another is the 'Density'(Population count per square kilometer each grid)

    Each GeoTIFF filename has 5 fields that are separated by an underscore "_". A filename extension follows these fields. The fields are described below with the example filename:

    GlobPOP_Count_30arc_1990_I32

    Field 1: GlobPOP(Global gridded population)
    Field 2: Pixel unit is population "Count" or population "Density"
    Field 3: Spatial resolution is 30 arc seconds
    Field 4: Year "1990"
    Field 5: Data type is I32(Int 32) or F32(Float32)

    More information

    Please refer to the paper for detailed information:

    Liu, L., Cao, X., Li, S. et al. A 31-year (1990–2020) global gridded population dataset generated by cluster analysis and statistical learning. Sci Data 11, 124 (2024). https://doi.org/10.1038/s41597-024-02913-0.

    The fully reproducible codes are publicly available at GitHub: https://github.com/lulingliu/GlobPOP.

  2. GlobPOP: A 33-year (1990-2022) global gridded population dataset (Version...

    • zenodo.org
    tiff
    Updated Sep 4, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Luling Liu; Xin Cao; Xin Cao; Shijie Li; Na Jie; Luling Liu; Shijie Li; Na Jie (2024). GlobPOP: A 33-year (1990-2022) global gridded population dataset (Version 2.0-test-beta) [Dataset]. http://doi.org/10.5281/zenodo.11071404
    Explore at:
    tiffAvailable download formats
    Dataset updated
    Sep 4, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Luling Liu; Xin Cao; Xin Cao; Shijie Li; Na Jie; Luling Liu; Shijie Li; Na Jie
    License

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

    Description

    Data Usage Notice

    This version is not recommended for download. Please check the newest version.

    We would like to inform you that the updated GlobPOP dataset (2021-2022) have been available in version 2.0. The GlobPOP dataset (2021-2022) in the current version is not recommended for your work. The GlobPOP dataset (1990-2020) in the current version is the same as version 1.0.

    Thank you for your continued support of the GlobPOP.

    If you encounter any issues, please contact us via email at lulingliu@mail.bnu.edu.cn.

    Introduction

    Continuously monitoring global population spatial dynamics is essential for implementing effective policies related to sustainable development, such as epidemiology, urban planning, and global inequality.

    Here, we present GlobPOP, a new continuous global gridded population product with a high-precision spatial resolution of 30 arcseconds from 1990 to 2020. Our data-fusion framework is based on cluster analysis and statistical learning approaches, which intends to fuse the existing five products(Global Human Settlements Layer Population (GHS-POP), Global Rural Urban Mapping Project (GRUMP), Gridded Population of the World Version 4 (GPWv4), LandScan Population datasets and WorldPop datasets to a new continuous global gridded population (GlobPOP). The spatial validation results demonstrate that the GlobPOP dataset is highly accurate. To validate the temporal accuracy of GlobPOP at the country level, we have developed an interactive web application, accessible at https://globpop.shinyapps.io/GlobPOP/, where data users can explore the country-level population time-series curves of interest and compare them with census data.

    With the availability of GlobPOP dataset in both population count and population density formats, researchers and policymakers can leverage our dataset to conduct time-series analysis of population and explore the spatial patterns of population development at various scales, ranging from national to city level.

    Data description

    The product is produced in 30 arc-seconds resolution(approximately 1km in equator) and is made available in GeoTIFF format. There are two population formats, one is the 'Count'(Population count per grid) and another is the 'Density'(Population count per square kilometer each grid)

    Each GeoTIFF filename has 5 fields that are separated by an underscore "_". A filename extension follows these fields. The fields are described below with the example filename:

    GlobPOP_Count_30arc_1990_I32

    Field 1: GlobPOP(Global gridded population)
    Field 2: Pixel unit is population "Count" or population "Density"
    Field 3: Spatial resolution is 30 arc seconds
    Field 4: Year "1990"
    Field 5: Data type is I32(Int 32) or F32(Float32)

    More information

    Please refer to the paper for detailed information:

    Liu, L., Cao, X., Li, S. et al. A 31-year (1990–2020) global gridded population dataset generated by cluster analysis and statistical learning. Sci Data 11, 124 (2024). https://doi.org/10.1038/s41597-024-02913-0.

    The fully reproducible codes are publicly available at GitHub: https://github.com/lulingliu/GlobPOP.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Luling Liu; Xin Cao; Xin Cao; Shijie Li; Na Jie; Luling Liu; Shijie Li; Na Jie (2024). GlobPOP: A 33-year (1990-2022) global gridded population dataset (Version 2.0-test-alpha) [Dataset]. http://doi.org/10.5281/zenodo.11071249
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GlobPOP: A 33-year (1990-2022) global gridded population dataset (Version 2.0-test-alpha)

Explore at:
tiffAvailable download formats
Dataset updated
Sep 4, 2024
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Luling Liu; Xin Cao; Xin Cao; Shijie Li; Na Jie; Luling Liu; Shijie Li; Na Jie
License

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

Description

Data Usage Notice

This version is not recommended for download. Please check the newest version.

We would like to inform you that the updated GlobPOP dataset (2021-2022) have been available in version 2.0. The GlobPOP dataset (2021-2022) in the current version is not recommended for your work. The GlobPOP dataset (1990-2020) in the current version is the same as version 1.0.

Thank you for your continued support of the GlobPOP.

If you encounter any issues, please contact us via email at lulingliu@mail.bnu.edu.cn.

Introduction

Continuously monitoring global population spatial dynamics is essential for implementing effective policies related to sustainable development, such as epidemiology, urban planning, and global inequality.

Here, we present GlobPOP, a new continuous global gridded population product with a high-precision spatial resolution of 30 arcseconds from 1990 to 2020. Our data-fusion framework is based on cluster analysis and statistical learning approaches, which intends to fuse the existing five products(Global Human Settlements Layer Population (GHS-POP), Global Rural Urban Mapping Project (GRUMP), Gridded Population of the World Version 4 (GPWv4), LandScan Population datasets and WorldPop datasets to a new continuous global gridded population (GlobPOP). The spatial validation results demonstrate that the GlobPOP dataset is highly accurate. To validate the temporal accuracy of GlobPOP at the country level, we have developed an interactive web application, accessible at https://globpop.shinyapps.io/GlobPOP/, where data users can explore the country-level population time-series curves of interest and compare them with census data.

With the availability of GlobPOP dataset in both population count and population density formats, researchers and policymakers can leverage our dataset to conduct time-series analysis of population and explore the spatial patterns of population development at various scales, ranging from national to city level.

Data description

The product is produced in 30 arc-seconds resolution(approximately 1km in equator) and is made available in GeoTIFF format. There are two population formats, one is the 'Count'(Population count per grid) and another is the 'Density'(Population count per square kilometer each grid)

Each GeoTIFF filename has 5 fields that are separated by an underscore "_". A filename extension follows these fields. The fields are described below with the example filename:

GlobPOP_Count_30arc_1990_I32

Field 1: GlobPOP(Global gridded population)
Field 2: Pixel unit is population "Count" or population "Density"
Field 3: Spatial resolution is 30 arc seconds
Field 4: Year "1990"
Field 5: Data type is I32(Int 32) or F32(Float32)

More information

Please refer to the paper for detailed information:

Liu, L., Cao, X., Li, S. et al. A 31-year (1990–2020) global gridded population dataset generated by cluster analysis and statistical learning. Sci Data 11, 124 (2024). https://doi.org/10.1038/s41597-024-02913-0.

The fully reproducible codes are publicly available at GitHub: https://github.com/lulingliu/GlobPOP.

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