基于土地利用类型数据的统计人口空间化模型研究:以福建省为例

The article spatializes the county-level statistical population based on the land use type data in Fujian Province, compares the spatialization models of the zoned and non-zoned population and the spatialization accuracy of different grid sizes, and explores the rationality of the statistical population spatialization model based on the land use type data and the appropriate spatialization scale. The results show that when using the non-zoned modeling method for population data spatialization, the most suitable grid scale is 6 km, and the grid population sampling accuracy is 62.12%; when using the zoned modeling method for population data spatialization, the most suitable grid scale is 3 km, and the grid population sampling accuracy is 84.41%. In view of this, for the current population spatial distribution in Fujian Province, using the population spatial distribution with a 3 km grid scale after zoned modeling can more accurately reflect the real population distribution in each county and city.

文章基于福建省土地利用类型数据进行县级统计人口的空间化,比较分区人口空间化模型与不分区人口空间化模型及不同格网大小的人口空间化精度,探讨基于土地利用类型数据的统计人口空间化模型合理性及合适空间化尺度.结果表明:采用不分区建模的方法进行人口数据空间化,最适宜的格网尺度为6 km,其格网人口抽样精度为62.12%;采用分区建模的方法进行人口数据空间化,最适宜的格网尺度为3 km,其格网人口抽样精度为84.41%.鉴于此,对于福建省当前的人口空间分布,采用分区建模后3 km格网尺度的人口空间分布,能够较精确地反映各县市真实的人口分布情况.