基于夜间灯光数据的天山北坡城市群第二、三产业GDP空间化模拟

doi:10.3969/j.issn.0255-8297.2019.01.009

Abstract

Abstract:

For the demand of small scale resources and environment of research on spatial model of social and economic data,a spatial simulation is conducted on the secondary and tertiary industry gross domestic product (GDP) of the 10 major cities and towns in the city cluster on northern slope of Tianshan Mountains. By using correlation and regression analysis methods, we quantitatively analyze the relations between DMSP/OLS (defense meteorological satellite program/operational line scan system) night light data and the urban agglomeration census data of northern slope of Tianshan Mountain in 2002 and 2012. And we build a 1 km GDP density map of the urban agglomeration of northern slope of Tiashan Mountain. The simulated spatial GDP distribution consistent precisely with the distribution of industry level of the region. First, it is indicated that the night light exponent of the two periods has obvious dependency on secondary and tertiary industries. The correlation coefficients are 0.75 and 0.83 for secondary industry, and 0.86 and 0.87 for tertiary industry. Second, it is seen that high value areas mainly gather in the line of Urumqi-Changji-Shihezi-Kuytun-Karamay. The interior GDP density of each county or city radiates decreasingly from the center to surroundings. The GDP density of suburban and rural areas are significantly lower than that of established districts. Third, the GDP distribution based on DMSP/OLS night light data simulation is reliable. The relative errors between GDP spatial simulations and statistical values of secondary industry in 2002 and 2012 are only 0.58% and 0.01% respectively. The comparison of GDP spatial simulations of the two periods reflects the dynamic change of the economic development of the urban agglomeration of northern slope of Tianshan Mountain, which is of practical value for more accurate prediction of the regional economic trend.

Key words: spatial simulation, northern slope of Tianshan Mountains urban agglomeration, secondary industry, tertiary industry, night light data, gross domestic product (GDP)

CLC Number:

F301.24

AZIGULI Heni, GAO Qian, ALIMUJIANG Kasimu. On Spatial Simulation of Secondary and Tertiary Industrial GDP in Northern Slope Tianshan Mountains Urban Agglomeration Based on Night Light Data[J]. Journal of Applied Sciences, 2019, 37(1): 87-98.

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On Spatial Simulation of Secondary and Tertiary Industrial GDP in Northern Slope Tianshan Mountains Urban Agglomeration Based on Night Light Data

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[1]	MA Dan, CHENG Hui, MAO Yan-ling, XING Shi-he. Estimation of Provincial Economic Development Levels Based on DMSP/OLS Nighttime Light Images [J]. Journal of Applied Sciences, 2017, 35(5): 647-657.
[2]	WU Xiao-yu, ZHANG Peng-lin. Urban Boundary Extraction by Fusing of DMSP-OLS and Landsat Images [J]. Journal of Applied Sciences, 2016, 34(1): 67-74.