Spatial correlation analysis of Suomi-NPP nighttime light data and GDP data

被引：0
|
作者：
Guo Y. [1 ]
Gao J. [2 ]
Ma H. [1 ]
机构：
[1] Department of Electronic Engineering, Tsinghua University, Beijing
[2] School of Government, Peking University, Beijing
来源：
Ma, Hongbing (hbma@tsinghua.edu.cn) | 1600年 / Tsinghua University卷 / 56期
关键词：
Nighttime light data; Normalized total radiance index; Spatial correlation model; Suomi-NPP;
D O I：
10.16511/j.cnki.qhdxxb.2016.22.049
中图分类号：
学科分类号：
摘要：
Nighttime light imagery removes most natural disturbances, so nighttime images can be used to reflect human activity, especially for research on spatialization of socio-economic development. This study utilized night-light data collected by the Suomi-NPP satellite in a spatial correlation model with GDP data to analyze both the spatial distribution and factors influencing development. The model extracted the lighting information and calculated night-light indexes to select the best night-light index for each Chinese mainland province. Tests show that the normalized total radiance index relates well to the GDP, so this index is related to the GDP using linear and nonlinear spatial models to develop a model to predict the GDP. The fitting results for the linear, power law and logistic models are all greater than 0.8. The power law model predicts the GDP of each mainland provincial-level region in 2014 with an average relative error of only 26.0%. © 2016, Tsinghua University Press. All right reserved.
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页码：1122 / 1130
页数：8
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