首页|基于夜光遥感数据整合的南疆四地州经济发展时空格局特征分析

基于夜光遥感数据整合的南疆四地州经济发展时空格局特征分析

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2020年"后脱贫时代",南疆四地州在全国、在新疆地区发展格局中依然属于欠发达地区,因此,对南疆四地州进行长期的经济测量和发展分析具有重要意义.但是传统的测度方式使用社会经济数据存在较大的限制.本研究利用夜间灯光遥感影像客观地反演该贫困地区的经济发展特征.选取南疆四地州为研究区,对NPP/VIIRS和DMSP/OLS数据分别进行噪声和过饱和的校正,在对两种夜间灯光数据整合的基础上,利用33个县(市)城镇用地的夜间灯光总量与第二、三产业之间的相关关系进行基于夜光数据的经济发展模型的反演,采用标准差椭圆、莫兰指数等空间分析方法综合探究2005~2020年南疆四地州经济发展时空格局特征.研究结果表明:①2005~2020年,经济重心向西北方向迁移.经济总量以东北—西南方向为主导,经济发展趋势越来越集中连片.②研究时段内一直存在较高的空间自相关性和聚集性,主要呈现H—H和L—L聚集区,经济水平越高(低)的区域越容易发生聚集现象.③南疆四地州区域经济发展冷点和热点的发生概率具有显著地方性特征.南疆四地州各区域之间的经济协同发展应成为政策重点.
Analysis of Spatial-Temporal Pattern Characteristics of Economic Development in Four Prefectures of Southern Xinjiang based on Integration of Nightlight Remote Sensing Data
In the'post-poverty era'of 2020,the four prefectures in southern Xinjiang are still underdeveloped areas in the development pattern of the whole country and in Xinjiang.Therefore,it is of great significance to car-ry out long-term economic measurement and development analysis of the four prefectures in southern Xinjiang.However,the traditional measurement methods using socio-economic data have great limitations.The nightlight remote sensing data is used to objectively invert the economic development characteristics of the poverty-strick-en area.This paper selects four prefectures of southern Xinjiang as the study area,and corrects NPP/VIIRS and DMSP/OLS data for noise and supersaturation respectively,based on the integration of two kinds of night light data,the correlation between the total night light amount of 33 counties(cities)and the secondary and tertiary industries was used,the spatial and temporal pattern of economic development in the four regions of southern Xinjiang from 2005 to 2020 was studied by using standard deviation ellipse and Molain index.The results show that:(1)From 2005 to 2020,the economic center of gravity moved to the northwest.The total economy is dominated by the northeast-southwest direction,the economic development trend is more and more concentrat-ed and contiguous.(2)There has been a high spatial autocorrelation and aggregation during the study period,mainly showing H-H and L-L gathering areas.The higher the economic level of the region,the more prone to aggregation.(3)The probability of occurrence of cold spots and hot spots in regional economic development in the four prefectures of southern Xinjiang has obvious local characteristics.The coordinated economic develop-ment among the four regions of southern Xinjiang should be the policy focus.

DMSP/OLSNPP/VIIRSSpatial economic developmentStandard deviational ellipseSpatial autocorrelation

萨木哈·单山白、高宇潇、邓文彬

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新疆大学 建筑工程学院,新疆 乌鲁木齐 830017

DMSP/OLS NPP/VⅡRS 空间经济发展 标准差椭圆 空间自相关

新疆维吾尔自治区自然科学基金天池博士计划新疆大学博士科研启动基金(2019)国家自然科学基金

2022D01C55tcbs201927BS19022251868074

2024

遥感技术与应用
中国科学院遥感联合中心

遥感技术与应用

CSTPCD北大核心
影响因子:0.961
ISSN:1004-0323
年,卷(期):2024.39(1)
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