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基于绿洲土地利用的区域GDP公里格网化研究
其他题名Studying the GDP in 1 km Square Grid-Cells Based on Oasis Land Use
黄莹; 包安明; 陈曦; 刘海隆; 杨光华
ISSN1000-0240
出版年2009
卷号31期号:1页码:158-165
中文摘要为解决以行政单元为单位的经济数据空间表示与实际空间分布不符的问题,根据分县控制、分产业建模的思路,综合考虑经济发展的一般规律,建立基于土地利用的1 km栅格GDP空间化模型对统计型经济数据进行空间分布仿真模拟.对第一产业产值采用面积权重的方法进行拟合,对第二产业建立基于道路的反距离加权模型,第三产业产值则基于城镇规模,建立距离衰减加幂指数模型.通过对新疆2000年GDP数据的空间化模拟试验,结果表明:新疆GDP的模拟值与真实值间的相对误差为-1.13%,其中第二、三产业产值的模拟效果较好,相对误差分别为0.45%和0.11%.研究区GDP高值区主要分布在天山北坡和南坡的经济、石化产业带上,这与实际情况相符,较真实地反映了区域经济的空间分布特征,可以满足对社会经济数据的空间化需求,对准确把握区域经济动态具有一定的实用价值.
英文摘要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.
中文关键词土地利用 ; 距离衰减规律 ; 绿洲 ; 新疆
英文关键词GDP GDP land use distance decay rule oasis Xinjiang Region
语种中文
国家中国
收录类别CSCD
WOS类目ECONOMICS
WOS研究方向Business & Economics
CSCD记录号CSCD:3558518
来源机构中国科学院新疆生态与地理研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/223276
作者单位中国科学院新疆生态与地理研究所, 乌鲁木齐, 新疆 830011, 中国
推荐引用方式
GB/T 7714
黄莹,包安明,陈曦,等. 基于绿洲土地利用的区域GDP公里格网化研究[J]. 中国科学院新疆生态与地理研究所,2009,31(1):158-165.
APA 黄莹,包安明,陈曦,刘海隆,&杨光华.(2009).基于绿洲土地利用的区域GDP公里格网化研究.,31(1),158-165.
MLA 黄莹,et al."基于绿洲土地利用的区域GDP公里格网化研究".31.1(2009):158-165.
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