基于夜间灯光辐射数据的张掖市甘州区GDP空间分布建模

Modeling the Spatial Distribution of GDP Based on Night Light Radiation: A Case Study in Ganzhou District,Zhangye Municipality

尽管近年来统计数据的生成技术有了很大提高,但可用的详细GDP空间分布数据始终难以得到满足.以夜间灯光辐射数据、官方统计数据和已有空间化人口分布数据构建了一种GDP空间化建模方法,得到张掖市甘州区2000年的GDP空间分布.首先,分析基于乡镇单元的GDP与对应的夜间灯光辐射数据DN值之间的关系,得到GDP模拟模型;然后结合人口空间分布数据和三次产业的比例,得到基于500m×500m栅格的GDP空间分布图.各乡镇的GDP平均值为372×104元,标准差为34×104元.

Spatial and temporal distributions of both physical and socioeconomic phenomena can be approximated by functions depended on location in a multi-dimensional space as multivariate scalar,vector or tensor fields.Collection of spatial GDP data is problematic,because of various shortcomings in the data collection process.A model is developed for creating a disaggregated map of estimated GDP for towns and then a distribution map of GDP is got. Firstly,a regression model is developed to calibrate the official GDP at township level in the study area with the sum of light emissions,and subsequently unique coefficients are derived. The spatial population grid and nighttime light satellite imagery are used to represent primary industry and other industries.Multiplying the unique coefficients with the sum of light emissions provides an estimate of total economic activity,from which a spatially disaggregated GDP map of total economic activity may generate based on the grid of 500 m×500 m.The average GDP value of a township is 3.72 million Yuan,with a Standard Deviation of 0.34 million Yuan.