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                <identifier>oai:data.mendeley.com/22xwh6ptk2.2</identifier>
                <datestamp>2024-09-04T18:16:42Z</datestamp>
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    <dc:creator>Lei, Zhen</dc:creator>
    <dc:title>Data for:Improved Population Mapping for China Using the 3D Build-ing, Nighttime Light, Points-of-interest, and Land Use/Cover Data Within a Multiscale Geographically Weighted Regression Model</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>Auxiliary Data.gdb:
Land_use: original land use data
POI_name: interests-point-data from the Amap platform (name indicates category)

New_gridded_population_dataset(.gdb): experimental result data, i.e., a gridded population map of mainland China with a resolution of 100 meters

New_minus_WorldPop_PopulationResidual(.gdb): pixel-level residuals of the new gridded population dataset with the Worldpop dataset

PopulationData_AdministrativeUnitLevel.gdb:
Population_data_mainlandChina_level3: population data at the district and county level in mainland China
Population_data_Name_level4_Table: township and street-level population data for provinces and municipalities

POI_Correlation_Coefficient:
Python script: programming implementation for selecting the optimal bandwidth for POI
Zonal statistical output of POI kernel density values: summary of various POI kernel densities in residential areas of administrative units
Summary of POI Pearson correlation coefficients: sum of Pearson&apos;s correlation coefficients for 13 types of POIs at a certain bandwidth

Note: 
Due to the storage space limitation, 3D building, nighttime light, and WorldPop datasets have not been uploaded. To access these publicly available data, please visit the official website via the &quot;Related links&quot; at the bottom. In addition, we are not authorized to share data for the fourth level of administrative boundaries, so we only share the corresponding population data in tabular form.




</dc:description>
    <dc:subject>Population</dc:subject>
    <dc:subject>Big Data</dc:subject>
    <dc:subject>Geospatial Data Repository</dc:subject>
    <dc:subject>Remote Sensing Product</dc:subject>
    <dc:contributor>Zhou, Shulei</dc:contributor>
    <dc:contributor>Cheng, Penggen</dc:contributor>
    <dc:contributor>Xie, Yijie</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/22xwh6ptk2.2</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/22xwh6ptk2.2</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/22xwh6ptk2</dc:relation>
    <dc:date>2024-09-04T18:16:42Z</dc:date>
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