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浙江大学学报(理学版)  2021, Vol. 48 Issue (6): 735-740    DOI: 10.3785/j.issn.1008-9497.2021.06.012
地球科学     
基于NPP-VIIRS夜间灯光数据的山西省GDP空间化模拟
魏凯艳1, 孙九林1,2, 张仲伍1, 赵雪倩1, 何雪宁1
1.山西师范大学 地理科学学院,山西 临汾 041000
2.中国科学院地理科学与资源研究所,北京 100101
Simulation of Shanxi province's GDP spatial distribution based on NPP-VIIRS night light data
WEI Kaiyan1, SUN Jiulin1,2, ZHANG Zhongwu1, ZHAO Xueqian1, HE Xuening1
1.School of Geography Science, Shanxi Normal University, Linfen 041000, Shanxi Province, China
2.Institute of Geographical Sciences and Resources, Chinese Academy of Sciences, Beijing 100101, China
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摘要: 选取山西省为研究对象,以美国国家极轨合作仪件-可见红外成像辐射计套件(NPP-VIIRS)夜间灯光数据、GDP统计数据等为数据源,构建GDP空间化拟合模型,建立山西省GDP密度图,据此研究山西省经济的空间差异性。通过对NPP-VIIRS夜间灯光数据的空间化处理,提取灯光指数,并将其与GDP进行回归拟合,建立最佳回归模型,得到GDP密度拟合图;利用县级GDP数据进行线性纠正,从而提高GDP的模拟精度。结果表明:(1)NPP-VIIRS夜间灯光数据与GDP的相关性较高,可用于山西省GDP模拟;(2)与GDP分区建模相比,GDP整体建模的精度更高;(3)山西省GDP的空间分布整体呈由城市中心逐渐向周边辐射的特点,构成GDP过渡带。
关键词: GDPNPP-VIIRS夜间灯光数据空间化模拟回归分析精度验证    
Abstract: This work select Shanxi province as the research object, uses national polar-orbiting partnership-visible infrared imaging radiometer suite (NPP-VIIRS) night light data, GDP statistical data, etc. as data sources, constructs a GDP spatial distribution simulation model, then establishes a GDP density map of Shanxi province, and studies the spatial difference of Shanxi province on this basis.Through the spatial processing of NPP-VIIRS night light data, it extracts the light index and GDP for regression fitting, use the county-level GDP for linear correction to improve the accuracy of GDP simulation. The experimental results show that: (1) The correlation of NPP-VIIRS night light data and GDP is high,NPP-VIIRS night light data can be employed to simulate the Shanxi province GDP spatial distribution; (2) Compared with GDP zoning modeling, GDP overall modeling has higher accuracy; (3) Shanxi province GDP spatial distribution can be generally characterized as a gradual radiation from the city centers to their surroundings which forms a certain transition zone.
Key words: GDP    NPP-VIIRS night light data    spatial simulation    regression analysis    precision verification
收稿日期: 2020-04-07 出版日期: 2021-11-25
CLC:  P 237  
基金资助: 临汾市科技局2019年度科技研发专项资金项目(1925).
通讯作者: ORCID: https://orcid.org/0000-0002-6855-9236,E-mail:zhangzhongwu69@163.com.     E-mail: zhangzhongwu69@163.com
作者简介: 魏凯艳(1997—),ORCID: https://orcid.org/0000-0002-2129-7531,女,硕士研究生,主要从事地理信息系统与遥感应用、虚拟地理环境、信息化农业研究,E-mail:1743700043@qq.co;
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引用本文:

魏凯艳, 孙九林, 张仲伍, 赵雪倩, 何雪宁. 基于NPP-VIIRS夜间灯光数据的山西省GDP空间化模拟[J]. 浙江大学学报(理学版), 2021, 48(6): 735-740.

WEI Kaiyan, SUN Jiulin, ZHANG Zhongwu, ZHAO Xueqian, HE Xuening. Simulation of Shanxi province's GDP spatial distribution based on NPP-VIIRS night light data. Journal of Zhejiang University (Science Edition), 2021, 48(6): 735-740.

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https://www.zjujournals.com/sci/CN/10.3785/j.issn.1008-9497.2021.06.012        https://www.zjujournals.com/sci/CN/Y2021/V48/I6/735

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