Abstract
Global gridded population data can be applied to a broad range of fields, such as government planning and decision, natural disaster assessment, and resource allocation. Evaluation of the accuracy of the global gridded population data has been recognized as a critical and challenging task. This study aims to evaluate the data accuracy of two population datasets in China, including LandScan with a 1 km spatial resolution and the WorldPop project (WorldPop) with a 100m spatial resolution. These datasets at 2018 are evaluated at three spatial scales based on the population data of the 2018 Statistical Yearbook. The results indicate that WorldPop has the highest estimation accuracy in the spatial detail and comparison with the census dataset. Specifically, both LandScan and WorldPop perform well in estimating the total population and population density of the whole of China at province scale, with R2 great than 0.99. When it comes to city scales in Guangdong province, the accuracy of the two data still performs well with R2 great than 0.98 in the total population and population density. However, when it comes to the population density of county scale in Shenzhen city, WorldPop still maintains R2 great than 0.94, which is better than LandScan data with R2 of about 0.88. This study provides a reference for the selection and use of two famous global population data.
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