GIS Based Spatialization of Population Census Data in Qinghai-Tibet Plateau

Expand
  • Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China

Received date: 2002-06-16

  Revised date: 2002-10-14

  Online published: 2003-01-25

Supported by

National special fund programme for science and technology foundation: perfection and service of WDC for renewable resources and environment, No.2001DEA30027-009; Knowledge Innovation Project of CAS, No.INF105-SDB-1-18

Abstract

In the Qinghai-Tibet Plateau, correlation ratios between population density and percentages of arable land and city and town used land at county level reach 0.90 and 0.85 respectively. In Qinghai province, there exists a logarithmic correlation of ratio = -0.86 between population density and average territorial elevation at county level. There is a correlation of ratio = 0.82 between population density and main highway density at county level. Correlation ratios between population density and densities of city and town residential areas, township residential areas and village residential areas reach 0.82, 0.87 and 0.92 respectively. Density of residential areas drops along with increasing of distance to rivers. Therefore, territorial elevation, land use, road and river system are the main factors affecting distribution of population in the Qinghai-Tibet Plateau. Residential areas are an important indicator to distribution of population. Weight values of affecting factors are assigned objectively and multiple sources data fusion technology is applied to spatialize population census data. There is a correlation of ratio > 0.80 between the population density generated by data fusion and actual population at county level, and ratio > 0.75 at township level. The finally generated grid population density not only keeps consistence with statistical population data at county level but also reflects changes of population distribution inside each county.

Cite this article

LIAO Shunbao, SUN Jiulin . GIS Based Spatialization of Population Census Data in Qinghai-Tibet Plateau[J]. Acta Geographica Sinica, 2003 , 58(1) : 25 -33 . DOI: 10.11821/xb200301004

References


[1] Martin D, Bracken I. Techniques for modelling population-related raster database. Environment and Planning A, 1991, 23: 1069-1075.

[2] David Martin. An assessment of surface and zonal models of population. International Journal of Geographical Information Systems, 1996, 10(8): 973-989.

[3] Dorling D. Cartograms for visualizing human geography. In: Hearnshaw H M, Unwin D J (eds.), Visualization in Geographical Information Systems. Chichester: Wiley, 1994. 85-102.

[4] Uwe Deichmann, Deborah Balk, Greg Yetman. Transforming Population Data for Interdisciplinary Usages: From census to grid, 2001. http://sedac.ciesin.columbia.edu/plue/gpw/index.html?main.html&2

[5] Sweitzer J, Langaas S, 1995. Modelling population density in the Baltic Sea States using the Digital Chart of the World and other small scale data sets. In: Gudelis V, Povilanskas R, Roepstorff A (eds.), Coastal Conservation and Management in the Baltic Region. Proceedings of the EUCC-WWF Conference, 2-8 May 1994, Riga-Klaipeda-Kaliningrad., 257-267. http://www.grida.no/baltic/ techrep/eeuc.pdf.

[6] Deichmann U, 1996a. A review of spatial population database design and modeling, paper prepared for the UNEP/CGIAR Initiative on the Use of GIS in Agricultural Research, National Center for Geographic Information and Analysis, Santa Barbara; http://www.ncgia.ucsb.edu/Publications/Tech_Reports/96/96-3.

[7] Zola K Moon, Frank L Farmer. Population density surface: a new approach to an old problem. Society and Natural Resources, 2001, 14: 39-49.

[8] Gao Zhiqiang, Liu Jiyuan. The relations analysis between ecological environmental quality of Chinese land resources and population. J. Remote Sensing, 1999, 3(1): 66-70.
[高志强, 刘纪远. 基于遥感和GIS的中国土地资源生态环境质量同人口分布的关系研究. 遥感学报, 1999, 3(1): 66-70.]

[9] He Jun, He Junchao. The research on date-ray relationship of population density and forestry covering rate. China Population, Resources and Environment, 1994, 4(Supplement): 81-85.
[何筠, 何钧超. 人口密度与森林覆被数量关系的研究. 中国人口资源与环境, 1994, 4(增刊): 81-85.]

[10] Ma Yongli. Approach to compiling method of population map. Scientia Geographica Sinica, 1997, 17(4): 342-345.
[马永立. 人口地图编制方法新探. 地理科学, 1997, 17(4): 342-345.]

[11] Meng Xiangjing. The factors influencing population distribution in China. Geographical Research, 1993, 12(3): 56-63.
[孟向京. 中国省级人口分布影响因素的定量分析. 地理研究, 1993, 12(3): 56-63.]

[12] Sun Gennian. Statistical analysis on the relationship of highway net density with population density and per capita GNP in national region. J. Southwest Jiaotong University, 2000, 35(2): 220-223.
[孙根年. 国家区域公路网密度与人口密度、人均GNP关系的统计分析. 西南交通大学学报, 2000, 35(2): 220-223.]

[13] Xu Jiangang. Estimation model of urban population density. Remote Sensing of Environment, 1994, 9(3): 234-239.
[徐建刚. 城市居住人口密度估算模型的研究. 环境遥感, 1994, 9(3): 234-239.]

[14] Zhang Yili, Yan Jianzhong, Liu Linshan et al. Impact of Qinghai-Xizang Highway on land use and landscape pattern change. Acta Geographica Sinica, 2002, 57(3): 253-266.
[张镱锂, 阎建中, 刘林山 等. 青藏公路对区域土地利用和景观格局的影响. 地理学报, 2002, 57(3): 253-266.]

[15] Cheng Shengkui. Approach to dynamic relationship between population, resources, environment and development of the Qinghai-Tibet Plateau. Journal of Natural Resources, 2000, 15(4): 297-304.
[成升魁. 青藏高原人口、资源、环境与发展互动关系探讨. 自然资源学报, 2000, 15(4): 297-304.]

[16] Liao Shunbao. Spatialization of statistical data based on multiple sources integration. Ph.D. Dissertation, Institute of Geographic Sciences and Natural Resources Research, CAS, 2002.
[廖顺宝. 基于多源数据融合的统计数据空间化研究. 中国科学院地理科学与资源研究所博士论文, 2002.]

[17] Zhang Xiaolin. On discrimination of rural definitions. Acta Geographica Sinica, 1998, 53(4): 363-371.
[张小林. 乡村概念辨析. 地理学报, 1998, 53(4): 363-371.]

Outlines

/