利用珞珈一号夜间灯光数据的广东省GDP空间化

Spatializing GDP of Guangdong Province Based on Luojia No.1 Night Light Data

针对传统GDP数据空间分辨率低的缺点,提出一种利用夜间灯光数据将GDP统计映射到空间格网的方法,能有效提高GDP数据的空间分辨率。珞珈一号夜间灯光数据具有较高的空间分辨率,可以开展更为精细的GDP模拟。文章利用珞珈一号夜间灯光数据、GDP区(县)级统计数据和空间回归模型,分区域(珠三角、西翼、东翼和山区)对广东省2018年GDP数据进行空间化。研究发现:1)与NPP-VIIRS夜间灯光数据相比,珞珈一号夜间灯光数据模拟GDP结果精度更高;2)珞珈一号夜间灯光数据在二三产业发达地区有更强的适用性;3)GDP空间化结果能在更小尺度上反映经济发展的空间异质性,从而精细刻画广东省经济发展的区域差异,为粤港澳大湾区规划建设和区域协同发展提供数据支撑。

Aiming at the disadvantage of low spatial resolution of traditional GDP data,this article proposed a method mapping GDP statistic data to spatial grid,so that spatial resolution of GDP data can be promoted effectively.The better spatial resolution of Luojia No.1 night light data makes it more suitable for spatializing GDP at finer scale.In this research,we based on Luojia No.1 night light data and GDP statistical data at county level,and used spatial regression model to spatialize GDP data in the year 2018.It should be noted that for reducing regional differences,we conducted the spatializing process by four regions,which are Zhujiang delta region,western region,eastern region and mountain area.Results show that:1)compared with NPP-VIIRS night light data,GDP spatialization results of Luojia No.1 night light data have higher accuracy;2)Luojia No.1 night light data has better applicability in areas with more developed secondary and tertiary industries;3)GDP spatializing result can reflect the spatial heterogeneity of economic development at finer scale,and depict the economic development gap in detail,providing data support for planning and construction of Guangdong-Hong Kong-Macao Greater Bay Area and regional coordinated development.