基于栅格尺度的"一带一路"沿线国家人口密度图（2019）

1）基于1km分辨率的2019年人口密度栅格数据，涵盖"一带一路"64+1（中国）个沿线国家，对沿线人口与资源环境和社会发展关系的区域异质性至关重要；2）本数据源自LandScan 全球人口动态统计分析数据库，由美国能源部橡树岭国家实验室（ORNL）开发，East View Cartographic提供；3）LandScan运用GIS和遥感等创新方法，运用空间数据、图像分析技术和多元分区密度模型，在特定的行政边界范围内来对人口统计数据进行分析，是全球最为准确、可靠，基于地理位置的，具有分布模型和最佳分辨率的全球人口动态统计分析数据库；4）数据由2019年全年月份人口密度取平均值得到，并通过补充空白值，剔除异常值，进行空间横向纵向比对和加工处理，能够满足大尺度的地理相关研究，在"一带一路"相关研究中将应用非常广泛，后续将根据一带一路国家数量的增加，不断更新完善本套数据。

1) This dataset is based on the 2019 population density raster data with a 1km resolution, covering 64+1 (China included) countries along the Belt and Road Initiative (BRI). It is crucial for investigating regional heterogeneity in the relationship between population, resources, environment and social development along the BRI.
2) This dataset is sourced from the LandScan Global Population Dynamic Statistical and Analytical Database, which was developed by the Oak Ridge National Laboratory (ORNL) under the U.S. Department of Energy and provided by East View Cartographic.
3) LandScan adopts innovative methods such as Geographic Information System (GIS) and remote sensing, leveraging spatial data, image analysis technologies and multi-zonal density models to analyze demographic data within specific administrative boundaries. It stands as the world's most accurate, reliable, geolocation-based global population dynamic statistical and analytical database with distribution models and optimal resolution.
4) The data is calculated as the annual average of monthly population density values across 2019, and has undergone post-processing including blank value filling, outlier removal, as well as spatial horizontal and vertical verification and correction. It is suitable for large-scale geographic-related research and has broad application prospects in BRI-related studies. This dataset will be continuously updated and improved alongside the expansion of BRI participating countries in the future.