基于夜间灯光数据的山东省县域经济发展时空格局研究
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摘要
基于DMSP-OLS夜间灯光数据,运用空间统计分析方法,对山东县域经济发展的时空特征进行了研究。结果表明:1)区域单位面积GDP与单位面积灯光数据具有显著的相关性; 2) 20多年来县域GDP普遍增长,但经济发展空间不平衡特征没有完全扭转; 3)山东省县域GDP在研究期的后半段比前半段具有更高的增长率,在半岛地区尤为突出。本研究重建了山东省1992—2013年间的县域经济发展时空格局,并揭示了单位GDP相对能耗的时空差异,可为山东省县域经济发展政策的制定提供一定的指导。
Based on the DMSP-OLS nighttime lighting data,the spatial and temporal characteristics of the economic development in Shandong counties were studied using spatial statistical analysis methods. The results show that:( 1) There is a significant correlation between GDP per unit area and unit area light data.( 2) The county GDP has generally increased for more than 20 years,but the spatial imbalance of economic development has not been completely reversed.( 3) The county GDP has a higher growth rate in the last 11 years than in the previous 10 years of the study period,especially in the peninsula. The study reconstructed the pattern of economic development of the county of Shandong Province during 1992—2013 and revealed the temporal-spatial differences of energy consumption per unit GDP. It will be helpful to the study of county economy development in Shandong province.
Based on the DMSP-OLS nighttime lighting data,the spatial and temporal characteristics of the economic development in Shandong counties were studied using spatial statistical analysis methods. The results show that:( 1) There is a significant correlation between GDP per unit area and unit area light data.( 2) The county GDP has generally increased for more than 20 years,but the spatial imbalance of economic development has not been completely reversed.( 3) The county GDP has a higher growth rate in the last 11 years than in the previous 10 years of the study period,especially in the peninsula. The study reconstructed the pattern of economic development of the county of Shandong Province during 1992—2013 and revealed the temporal-spatial differences of energy consumption per unit GDP. It will be helpful to the study of county economy development in Shandong province.
引文
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[3]陈晋，卓莉，史培军，等．基于DMSP-OLS数据的中国城市化过程研究——反映区域城市化水平的灯光指数的构建[J]．遥感学报，2003,7(3):168-175.
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[6]刘浩，马琳，李国平．1990s以来京津冀地区经济发展失衡格局的时空演化[J]．地理研究，2016,35(3):471-481.
[7]何春阳，史培军，李景刚，等．基于DMSP/OLS夜间灯光数据和统计数据的中国大陆20世纪90年代城市化空间过程重建研究[J]．科学通报，2006,51(7):856-861.
[8]李俊峰，潘竟虎．基于夜间灯光的1992—2012年甘肃省城市空间扩展研究[J]．冰川冻土，2016,38(3):829-835.
[9]何洋，程辉，唐亮．基于DMSP/OLS数据的我国省级经济发展水平研究[J]．地理空间信息，2014,12(2):79-82.
[10]穆学英，刘凯，任建兰．山东省县域经济承载力空间格局研究[J]．华东经济管理，2016,30(12):14-19.
[11]王琪，袁涛，郑新奇．2013．基于夜间灯光数据的中国省域GDP总量分析[J]．城市发展研究，2013(7):44-48.
[12]刘玉，藩瑜春，陈秧分．山东省县域经济发展的时空动态研究[J]．经济地理，2012,32(5):43-48.
[13] Amaral S,Camara G,Monteiro A M V,et al. Estimating population and energy consumption in Brazilian Amazonia using DMSP night-time satellite data[J].Computers Environment&Urban Systems,2005,29(2):179-195.
[14]王慧，孙春芳，余静．山东省县域经济时空分异演化特征研究[J]．地域研究与开发，2014,33(5):16-20.
[2] LO C P. Urban indicators of China from radiancecalibrated digital DMSP-OLS nighttime images[J].Annals of the Association of American Geographers,2002,92(2):225-240.
[3]陈晋，卓莉，史培军，等．基于DMSP-OLS数据的中国城市化过程研究——反映区域城市化水平的灯光指数的构建[J]．遥感学报，2003,7(3):168-175.
[4] WU J S,MA L,LI W F,et al. Dynamics of urban density in China—estimations based on DMSP—OLS nighttime light data[J]. Applied Earth Observation and Remote Sensing,2014,7(10):4 266-4 275.
[5]吴健生，刘浩，彭建．中国城市体系等级结构及其空间格局——基于DMSP/OLS夜间灯光数据的实证[J]．地理学报，2014,69(6):759-770.
[6]刘浩，马琳，李国平．1990s以来京津冀地区经济发展失衡格局的时空演化[J]．地理研究，2016,35(3):471-481.
[7]何春阳，史培军，李景刚，等．基于DMSP/OLS夜间灯光数据和统计数据的中国大陆20世纪90年代城市化空间过程重建研究[J]．科学通报，2006,51(7):856-861.
[8]李俊峰，潘竟虎．基于夜间灯光的1992—2012年甘肃省城市空间扩展研究[J]．冰川冻土，2016,38(3):829-835.
[9]何洋，程辉，唐亮．基于DMSP/OLS数据的我国省级经济发展水平研究[J]．地理空间信息，2014,12(2):79-82.
[10]穆学英，刘凯，任建兰．山东省县域经济承载力空间格局研究[J]．华东经济管理，2016,30(12):14-19.
[11]王琪，袁涛，郑新奇．2013．基于夜间灯光数据的中国省域GDP总量分析[J]．城市发展研究，2013(7):44-48.
[12]刘玉，藩瑜春，陈秧分．山东省县域经济发展的时空动态研究[J]．经济地理，2012,32(5):43-48.
[13] Amaral S,Camara G,Monteiro A M V,et al. Estimating population and energy consumption in Brazilian Amazonia using DMSP night-time satellite data[J].Computers Environment&Urban Systems,2005,29(2):179-195.
[14]王慧，孙春芳，余静．山东省县域经济时空分异演化特征研究[J]．地域研究与开发，2014,33(5):16-20.