2020年中国大陆沿海1km分辨率GDP密度模拟数据

中国大陆沿海2020年1km分辨率GDP密度模拟数据，该文件包含4个数据层，分别标记为GDP1、GDP2、GDP3和GDPall，对应一、二、三产业的GDP和GDP总量，数据格式为tif的数据结果。基于中国沿海地级市范围分县的国民生产总值（GDP，区分一、二、三产业及总量）统计数据、县域行政区划矢量数据、1km栅格土地利用面积结构数据和夜间灯光指数数据，通过综合应用统计回归方法和GIS空间分析技术，实现统计信息的尺度变换，模拟得到1km分辨率的GDP三次产业增加值及总量的空间分布数据（GDP总量的空间分布数据为三次产业增加值空间数据累加求和而得到）。

1km-resolution GDP density simulation dataset for coastal mainland China in 2020. This dataset includes four data layers, labeled GDP1, GDP2, GDP3 and GDPall respectively, which correspond to the GDP of the primary, secondary, tertiary industries and the total GDP, and is stored in TIFF format. Based on county-level gross domestic product (GDP) statistical data (distinguishing primary, secondary, tertiary industries and total GDP) within the scope of China's coastal prefecture-level cities, county-level administrative division vector data, 1km-resolution raster land use area composition data, and nighttime light index data, this dataset achieves the scale transformation of statistical information by comprehensively applying statistical regression methods and GIS spatial analysis techniques, and simulates the spatial distribution data of the added value of the three major industries of GDP and the total GDP at 1km resolution. The spatial distribution data of total GDP is generated by summing the spatial data of the added value of the three major industries.