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《Journal of Glaciology and Geocryology》 2009-01
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Studying the GDP in 1 km Square Grid-Cells Based on Oasis Land Use

HUANG Ying1,2,BAO An-ming1,CHEN Xi1,LIU Hai-long1,YANG Guang-hua1,(1.Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,rümqi Xinjiang 830011,China;2.Graduate University of the Chinese Academy of Sciences,Beijing 100039,China;3.College of Resources Science and Technology,Beijing Normal University,Beijing 100875,China)  
The traditional economic data expression is based on the administrative regions at county or province level,which conceals the inner difference of the calculation area.It cannot satisfy the requirement of the study of resources and environmental sciences.Land use data integrates lots of information of factors affecting economical distribution.It is the nature of land,the production mode of agriculture,forestry,stockbreeding,fishery,the input and output of industries,and the proportion of service in China that establish a close spatial relation between land use and economical distribution.According to the idea of modeling separately by industries along with the GDP of counties as restrictive conditions,models are built based on land use to simulate the GDP in 1 km square grid-cells.To the primary industry,the area weightiness method is adopted,using second order polynomial modes to fit it;According to the influence of road on secondary industry,road-based counter-distance weighted model is built to calculate the secondary industry output indices,and then the spatialization of the secondary industry output is implemented.For the output of tertiary industry,a power exponential model is built based on the scale of town and the distance from the center of town,rooted on distance decay function.This study simulates the GDP in 1 km square grid-cells of Xinjiang Region,in 2000,by using the above models and GIS technique.Comparing the simulation with the statistical value from the statistical yearbook,it is found that the relative error of Xinjiang GDP is-1.13%,among them,the relative errors of the secondary industry and tertiary industry output is 0.45% and 0.11%,respectively.The outcome of the simulation shows that the high value areas are mainly distributed in the economic zones in the northern slopes and the petrochemical industry zone in the southern slope of Tianshan Mountains.In addition,there are few high value areas in Kashi,Hami,and et al.sporadically.The simulation matches the practical case,and reflects the distribution characteristics of regional economy,which is excellent as compared with traditional methods.
【Fund】: 国家973重点研究项目(2009CB421301);; 国家科技支撑计划项目(2007BAH12B03);; 新疆主体功能区区划项目;; 中国科学院知识创新工程项目(KZCX3-SW-355)资助
【CateGory Index】: F224;F301
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