%0 Journal Article
%T GIS Based Spatialization of Population Census Data in Qinghai-Tibet Plateau<br>基于GIS的青藏高原人口统计数据空间化
%A LIAO Shunbao
%A SUN Jiulin
%A <br>廖顺宝
%A 孙九林
%J 地理学报
%D 2003
%I 
%X In the Qinghai-Tibet Plateau, correlation ratios between p opulation density and percentages of arable land and city and town us ed land at county level reach 0.90 and 0.85 respectively. In Qinghai p rovince, 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 populatio n density and densities of city and town residential areas, township reside ntial areas and village residential areas reach 0.82, 0.87 and 0.92 resp ectively. Density of residential areas drops along with increasing of distance to rivers. Therefore, territorial elevation, land use, road and r iver system are the main factors affecting distribution of population in the Qinghai-Tibet Plateau. Residential areas are an important indica tor 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 statis tical population data at county level but also reflects changes of population d istribution inside each county.
%K Qinghai-Tibet Plateau
%K population
%K spat ialization<br>GIS
%K 青藏高原
%K 人口
%K 统计数据
%K 空间化
%K 地理信息系统
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=869B153A4C6B5B85&jid=F7B5B947C24B9D649491012214E4BEF4&aid=E226C4E5E958ED8F&yid=D43C4A19B2EE3C0A&vid=9FFCC7AF50CAEBF7&iid=CA4FD0336C81A37A&sid=C5154311167311FE&eid=27746BCEEE58E9DC&journal_id=0375-5444&journal_name=地理学报&referenced_num=66&reference_num=28