基于土地利用类型提高人口格网数据空间精度的方法

A method to improve the spatial accuracy of population grided data based on land use

高空间精度的人口格网数据具有空间分辨率高、人口空间分布特征准确的特点,在受灾人群估计、城市规划建设等领域有广泛的应用。针对已有的公开人口格网数据集(如WorldPop世界人口格网数据集)存在人口空间分布特征在小尺度上刻画不准确、空间分辨率较低的问题,本文使用东营市土地利用类型数据,结合地类权重和面积权重对WorldPop数据进行空间精度优化,获得东营市东营区黄河路街道25 m人口格网数据。相较于WorldPop数据,经过本文方法处理后的数据集空间分辨率更优,在可视化对比中,能够更准确地刻画人口分布特征,并在各地类人口占比统计中人口空间分布与用地单元分布一致性更高。该方法为获取小区域高空间精度人口格网数据提供了一种新思路。

The population grided data with high spatial precision has the characteristics of high spatial resolution and accurate spatial distribution of the population. It is widely used in estimation of the affected population and urban planning.There are many publicly available population grided datasets, such as WorldPop which have the disadvantages of inaccurate of population spatial distribution and low spatial resolutionon small scales. Based on land use data of Dongying, combined with land use weight and area weight to optimize the spatial accuracy of WorldPop. Produce the population grided data with 25 m resolution of Huanghe street in Dongying. Compared with the WorldPop data, the dataset processed by this method has better spatial resolution and more accurate of population distribution, in the visual comparison. The differences in the statistics of the proportion of the population in each land use reflect the spatial distribution of population is highly consistent with the distribution of land use units. This method provides a new idea for obtaining population grided data with high spatial accuracy in a small area.