基于时序NPP-VIIRS 夜间灯光、社会经济统计等数据,构建 GDP 空间化模型,并结合空间分辨率为30m×30m的土地利用数据对模型进行修正,研究 2013-2020 年福州市经济空间差异性及演变趋势.结果表明:(1)利用土地利用数据对GDP空间化模型进行修正以提高单元网格精度和效度的方法是可行的,对较小尺度的经济空间分析具有意义.(2)将土地利用数据对应的各产业产值用于对GDP空间化模型修正,能够进一步提升单元网格的模拟精度.(3)从共时性比对来看,福州市的经济空间呈现东部GDP较高,西部和北部GDP以低值为主、高值零星分布的格局.从历时性来看,自2015 年起,福州市GDP高值区域的扩张与GDP总值的增长速度明显提高,2018 年后整体出现略微下降趋势.
Study on Spatio-temporal Distribution of GDP in Fuzhou City Based on Time Series NPP-VIIRS Night-time Light and Land Use Data
Based on temporal NPP-VIIRS nighttime lighting,socio-economic statistical data,and other data sources,a GDP spatialization model is constructed,and the model is modified by combining land use data with a spatial resolution of 30 m×30 m to study the spatial differences and evolution trends of the economy in Fuzhou Cit-y.The results indicate that:(1)The method of using land use data to modify the GDP spatialization model to im-prove the accuracy and validity of unit grids is feasible and meaningful for small-scale economic spatial analysis.(2)Using the output values of various industries corresponding to land use data to modify the GDP spatialization model can further improve the simulation accuracy of unit grids.(3)The synchronicity comparison shows a eco-nomic space of Fuzhou City presents a pattern of high GDP in the eastern region,with low value and scattered high value distribution in the western and northern regions..From a historical perspective,since 2015,the expansion of high GDP areas and the growth rate of GDP in Fuzhou have significantly increased,and there has been a slight downward trend overall since 2018.
NPP-VIIRS night-time lightGDP spatio-temporal distributionland use datarefined simula-tionFuzhou City
NETL
NSTL
万方数据
维普
