Acta Geographica Sinica ›› 2003, Vol. 58 ›› Issue (1): 25-33.doi: 10.11821/xb200301004

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

LIAO Shunbao, SUN Jiulin   

  1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2002-06-16 Revised:2002-10-14 Online:2003-01-25 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


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.

Key words: Qinghai-Tibet Plateau, population, spatialization