Abstract
Abstract. Gross Domestic Product (GDP) is an important statistical indicator for quantitatively studying of economic development and space distribution characteristics. However, GDP has been often calculated based on administrative units without fine describing the difference of space distribution in the administrative unit. This paper calculated night-light indexes of Henan province using DMSP/OLS remote sensing data in 2006 and 2013. Those correlation between different light indexes and GDP was analyzed, and the best regression model of GDP was constructed. The accuracy of statistical data in 2006 and 2013 was used to verify the accuracy. The spatial visualization and dynamic analysis of GDP in Henan province were realized. Finally, this paper realized the spatial visualization and dynamic analysis of GDP in Henan province and produced 1 km × 1 km distribution map of GDP density.The results showed that the Total Night-time Light (TNL) index had the highest correlation with GDP in 2010 with the coefficient of 0.928, R2 was 0.861. The TNL indicator and GDP in 2013 achieved the correlation coefficient of 0.930, R2 was 0.865. the average relative error between GDP simulation value and statistical value in 2006 and 2013 is 8.19%, 8.08%, respectively.The GDP density map of 18 prefecture-level cities in Henan province showed an obvious expansion trend from 2006 to 2013.This research demonstrated that the Night-time light data could be used as an important index of analyzing economic status of Henan province. The model between light indicators and GDP could better simulate the spatial distribution of regional economic development.
Highlights
With the continuous progress of science and technology, the research of regional economic data, such as economy and population, in the process of interaction between people and the environment has attracted the attention of all social circles
The TNL,I,CNLI three lighting indices of 18 municipal administrative regions are calculated by formula (1) From the change of the three lighting indexes, we can see that the lighting index of most cities in 2006-2013 increases with the increase of Gross Domestic Product (GDP)
From the TNL value of 2006-2013, we can see that the difference between Nanyang City, Zhengzhou City and Shangqiu City is relatively large, which is closely related to the development of GDP in administrative region
Summary
With the continuous progress of science and technology, the research of regional economic data, such as economy and population, in the process of interaction between people and the environment has attracted the attention of all social circles. Henderson et al DMSP/OLS stabilizes the optimal threshold of the two kinds of data for the light image and the radiometric calibration light image, and correctly extracts the spatial information of the difference between the urbanization level and the economic development level of San Francisco, USA and Beijing, China and Lhasa (Henderson M,et al,2003). Based on the correlation between the data, the spatial model of GDP suitable for the small scale research area of Henan Province is established, and the visual expression of GDP is realized by using 1 km × 1 km space to find out the temporal and spatial dynamic variation of GDP in each administrative region of Henan Province, which lays a foundation for the formulation of economic development strategy in the future
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
