湖北农业科学 ›› 2022, Vol. 61 ›› Issue (21): 244-251.doi: 10.14088/j.cnki.issn0439-8114.2022.21.045

• 经济·管理 • 上一篇    下一篇

基于NPP-VIIRS数据天山北坡城市群GDP空间化研究

余凤天, 高敏华   

  1. 新疆大学资源与环境科学学院/绿洲生态教育部重点实验室,乌鲁木齐 830046
  • 收稿日期:2021-04-01 出版日期:2022-11-10 发布日期:2022-12-10
  • 通讯作者: 高敏华(1963-),男,新疆昌吉人,副教授,硕士生导师,主要从事土地资源评价及土地利用规划研究,(电子信箱)mh-gao@163.com。
  • 作者简介:余凤天(1995-),男,新疆玛纳斯县人,硕士,研究方向为遥感与土地利用,(电话)15199650223(电子信箱)y15199650223@163.com。

Research on GDP spatialization of urban agglomeration on the northern slope of Tianshan Mountains based on NPP-VIIRS data

YU Feng-tian, GAO Min-hua   

  1. College of Resource and Environment Sciences/Key Laboratory of Oasis Ecology of Ministry of Education, Xinjiang University, Urumqi 830046,China
  • Received:2021-04-01 Online:2022-11-10 Published:2022-12-10

摘要: 为满足城市群发展过程中对空间型社会经济数据的需要,在分析与总结已有社会经济数据空间化技术方法的基础上,以天山北坡城市群作为研究对象,对2013年及2019年NPP-VIIRS夜间灯光数据与GDP统计数据进行定量分析,对其区域内15个县市的分产业地区生产总值进行空间化研究。通过分析天山北坡城市群地区生产总值、第一、第二、第三产业值以及二三产业值之和与NPP-VIIRS夜间灯光数据所提取出的灯光指数的空间相关性,选取最优灯光指数,通过线性回归模型,最终模拟了2013年与2019年研究区内500 m精度分产业GDP密度图。结果表明,两期夜间灯光数据与分产业地区生产总值具有明显相关性;城市群各产业产值分布主要集聚在各县市之间的交通线主要节点,高值区主要集中在乌鲁木齐市、昌吉市、石河子市及克拉玛依市;利用夜间灯光数据模拟的分产业GDP空间分布结果较为可信,其模拟结果与统计值相对误差较小,能够较为直观地表现出统计数据区域分布差异,并展现出区域经济发展的动态变化。

关键词: 天山北坡城市群, NPP-VIIRS夜间灯光数据, 统计型数据空间化, 回归分析

Abstract: In order to meet the needs of spatial socio-economic data in the development of urban agglomerations, on the basis of analyzing and summarizing the spatial technical methods of socio-economic data, the urban agglomeration on the northern slope of the Tianshan Mountains was taken as the research object, the quantitative analysis was made on the night light data and GDP statistics of NPP-VIIRS in 2013 and 2019, and the spatial research was made on the regional GDP of 15 counties and cities. By analyzing the spatial correlation between the total output value, the first, second and third industry values, and the sum of the secondary and tertiary industry values of the urban agglomeration on the northern slope of the Tianshan Mountains and the light index extracted from the NPP-VIIRS night light data, the optimal light index was selected. Finally, the 500 m precision sub-industry GDP density map of the study area in 2013 and 2019 was simulated through the linear regression model. The results showed that there was a significant correlation between the two periods of night light data and the GDP of sub industry regions. The distribution of industrial output value of urban agglomeration was mainly concentrated in the main nodes of traffic lines between counties and cities, and the high-value areas were mainly concentrated in Urumqi, Changji, Shihezi and Karamay. The spatial distribution result of sub-industry GDP simulated by night light data was more credible,and the relative error between the simulation result and the statistical values was small, which could intuitively show the regional distribution difference of statistical data and the dynamic changes of regional economic development.

Key words: urban agglomeration on the northern slope of Tianshan Mountains, NPP-VIIRS night light data, statistical data spatialization, regression analysis

中图分类号: