人口数据空间化表达与应用

Presentation of Spatial Distribution of Population and Its Application

人口数据空间化是“数字地球”的重要研究内容。本文在介绍人口空间分布研究的基础上,从人口分布影响因子、土地利用等空间数据的应用、构建间接的人口指标、人口数据空间化建模以及城市人口数据空间化五个方面, 回顾了人口数据空间化研究的最新进展,并简要阐述了面插值的概念及其对人口数据空间化研究的意义。在总结前人相关研究的基础上,本文以福建省为研究区,在栅格数据模型的支持下,通过多源信息融合,从乡镇行政区划的尺度上对人口数据空间化模拟进行了尝试。

Spatial distribution of population is a key content of ＂Digital Earth＂. On the basis of essential theories of population distribution, the authors review the progress of research on spatial distribution of population based on GIS and RS from five aspects： 1） factors influencing population distribution and relationships among them; 2） application of spatial data, such as land use infrastructure; 3） indirect population index; 4） modeling of the spatial distribution of population; and 5） spatial distribution of urban population. Finally, under the support of grid data model, this paper applied Remote Sensing data, terrain data, traffic data, river data, resident data, and socio-economic statistics to calculate the spatial distribution of population in Fujian province at township level.