基于多源空间数据的山区人口分布模拟

doi:10.6046/gtzyyg.2012.02.12

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摘要人口资源是制约山区发展的关键因素,其分布状况在一定程度上反映和决定了山区的资源环境安全状况和社会经济发展水平。在分析川滇黔接壤地区山区人口分布影响因素的基础上,结合已有方法,构建了适合山区人口数据空间化的模型。以2007年人口统计数据为基础,以居民点作为人口分布指示因子,利用GIS软件工具,分析了居民点分布与地貌形态、土地利用、道路以及水系间的关系。基于多源空间数据融合的思想,引进了居民点缓冲区的概念,以较客观的赋权方式确定影响因子权重,实现山区人口统计数据的空间化。结果表明,通过融合产生的人口密度与乡镇级人口密度的相关性均在0.80以上,结果可靠,为进一步分析山区人口分布格局提供了重要的基础数据。

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关键词 ： Landsat ETM⁺图像, 紫金山铜金矿床, 构造解译, 找矿有利区

Abstract：Population resources are key factors for the development of mountain areas. The distribution conditions of population resources reflect and determine to some extent socio-economic development and sustainable development of mountainous areas. In this paper, a newer population data spatialized model for mountain areas is developed based on existing methods and factors influencing population distribution of mountain areas. Based on population census data in 2007, this paper analyzed the relationships between the distribution of residential areas and terrain, land use, roads, and rivers by using the GIS software and taking the residential area as an important indicator to population distribution. Based on multiple spatial sources data fusion technology, the authors dealt with the concept of settlements buffer,assigned the weight values of affecting factors objectively, and realized the spatialization of population census data for mountain areas completely. The result shows that there are correlations of ratio (>0.80) between the population density generated by data fusion and the actual population census data at the township level, and the result is reliable. The finally generated grid population density lays an important basic data foundation for the further analysis of the pattern of population distribution in mountain areas.

Key words： Landsat ETM⁺ image Zijinshan mountain copper-gold mineral deposit interpretation of structure potential ore-prospecting area

收稿日期: 2011-08-23 出版日期: 2012-06-03

:	X 24
	P 208

基金资助:

中国科学院知识创新工程重要方向项目(编号: KZX2-YW-333) 及四川省科技支撑计划项目(项目编号为: 2012SZ0091)共同资助。

引用本文:

曹伟超, 陶和平, 谭理, 张云, 董学智. 基于多源空间数据的山区人口分布模拟[J]. 国土资源遥感, 2012, 24(2): 61-67.
CAO Wei-chao, TAO He-ping, TAN Li, ZHANG Yun, DONG Xue-zhi. Simulation of Mountain Population Distribution Based on Multi-source Spatial Data. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(2): 61-67.

链接本文:

https://www.gtzyyg.com/CN/10.6046/gtzyyg.2012.02.12 或 https://www.gtzyyg.com/CN/Y2012/V24/I2/61

[1] 陈国阶.对中国山区发展战略的若干思考[J].战略与决策研究,2007,22(2):126-131.
[2] 钟祥浩,余大富,郑霖.山地学概论与中国山地研究[M].成都:四川科学技术出版社,2000.
[3] 廖顺宝,孙九林.基于GIS的青藏高原人口统计数据空间化[J].地理学报,2003,58(1):25-33.
[4] 田永中,陈述彭,岳天祥,等.基于土地利用的中国人口密度模拟[J].地理学报,2004,59(2):283-292.
[5] Ryavec K E,Verigin H.Population and Rangelands in Central Tibet:a GIS-based Approach[J].GeoJournal,1998,44(1):61-72.
[6] 杨小唤,江东,王乃斌,等.人口数据空间化的处理方法[J].地理学报,2002,57(增刊):70-75.
[7] Sweitzer J,Langaas S.Modeling Population Density in the Baltic Sea States Using the Digital Chart of the World and Other Small—Scale Data Sets[C]//In:Gudelis V,Prvilanskas R,Roepstorff A.Coastal Conservation and Management in the Baltic Region.Proceedings of the EUCC—WWF Conference,1994,2-8.
[8] 董春,刘纪平,赵荣,等.地理因子与空间人口分布的相关性研究[J].遥感信息,2002(4):61-64.
[9] 王春菊,汤小华.基于GIS的福建省人口统计数据空间化[J].地理与地理信息科学,2004,20(4):71-74.
[10] 王桂新.中国人口分布与区域经济发展[M].上海:华东师范大学出版社,1997.
[11] 宋佳.基于DEM的我国地貌形态类型自动划分研究[D].西安:西北大学,2006.
[12] 赵英时,等.遥感应用分析原理与方法[M].北京:科学出版社,2007.
[13] 王春菊,汤小华,吴德文.福建省居民点分布与环境关系的定量研究[J].海南师范学院学报:自然科学版,2005,18(1):89-92.
[14] Martina D.An Assessment of Surface and Zonal Models of Population[J].International Journal of Geographical Information Systems,1996,10(8):973-989.