RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2015, Vol. 24 >> Issue (12): 2021-2029.doi: 10.11870/cjlyzyyhj201512004

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URBAN POPULATION SPATIAL HETEROGENEITY ANALYSIS OF JIANGSU PROVINCE BASED ON DMSP/OLS NIGHTLIGHT DATA

WANG Zhao1,2, YANG Shan1,2, LIU Shuai-bin1,2   

  1. 1. School of Geography Science, Nanjing Normal University, Nanjing 210023, China;
    2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
  • Received:2015-02-09 Revised:2015-06-04 Online:2015-12-20

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Abstract: The study on the spatial distribution of population is a fundamental determinant of region development. To aaccurately obtain the global and local spatial information has important significance to formulate reasonable regional development policies. Based on the quantitative association between DMSP/OLS nighttime lights data and population- data, this study simulated grid scale population density of Jiangsu Province in 2012. With the use of population concentration index and spatial variogram analysis, population space structural features and spatial variation have been identified. The results can further explain the microscopic scales of population space differentiation characteristics. Studies have shown the results showed that: 1) At the Rregional level, there is a significant population spatial differentiation phenomenon in Jiangsu province. In northern Jiangsu, it acts as "low-density dot" distribution characteristics, while in south of Jiangsu it acts as "high-density surface-shaped " distribution. 2) At the Urrban level, The spatial distribution of population structure of Jiangsu Province has four types: H-H type has the strongest anisotropic difference, with the minimum random variation within the grid; H-L type has the smallest anisotropic difference, but the random variation within the grid is large; L-L type has obviously axial homogenization characteristics, and the random variation of grid unit is small; L-H type's space anisotropy is small, and it has the maximum grid cell random variation. The results showed that the non-radiance calibrated DMSP / OLS nighttime lights image has the potential to provide population density estimation at grids units, combined with the use of fitted variogram can quantitatively present inside spatial heterogeneity of urban population distribution.

Key words: DMSP / OLS, population simulation, variogram analysis, Jiangsu Province

CLC Number: 

  • K901.3
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