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

doi:10.13474/j.cnki.11-2246.2021.374

Abstract

Abstract: 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.

Key words: population spatialization, dasymetric method, land use data, WorldPop, Dongying

CLC Number:

P208

GUO Zihan, CHEN Fei, LIU Xiaoli, DAI Zhaoxin. A method to improve the spatial accuracy of population grided data based on land use[J]. Bulletin of Surveying and Mapping, 2021, 0(12): 66-70.

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