The Study On Spatial Distribution Pattern Evolution Of Population Based On County Scale In Fujian Province

Population growth has seriously broken the balance between population and food,resources and environment.More and more people pay attention to this phenomenon and think that population growth has become a problem that can't be ignored in the world today.A deep understanding of spatial distribution information for population plays a positive role in improving the problem of population growth and weakening the deterioration between population and population-related problems.Meanwhile,it can provide a decision-making guidance for solving population-related problems.However,the current understanding of population distribution mostly originates in the popualtion at national,provincial,municipal and county scale.How to obtain fine information of spatial distribution of population has become a key task for scholars all over the world accurately and efficiently.Taking Fujian province as the research example,the spatial distribution pattern evolution of population in Fujian province from 2000 to 2015 was analyzed.Based on the four schemes of spatialization designed and spatial regression model,the spatialization of population data was realized at county scale.The spatialization results with the highest precision was selected to present the fine spatial distribution information of population in Fujian province.Based on the spatialization result of population data,using balance of population distribution,population gravity center,spatial autocorrelation and semi-variance function,the evolution characteristics of population spatial distribution in Fujian province was analyzed.The influences of economy,culture and education level,traffic conditions,medical and health conditions and topographical condition on spatial distribution of population in Fujian province were analyzed by geographical weighted regression model quantitatively.The results show that the fitting effect of spatialization of population data is improved with the use of spatial regression model.The result of spatialization of population data based on land use and night lighting are more accurate and reliable than other spatialization results produced to a certain extent.The spatial distribution map of population with the resolution of 500 m shows that the spatial distribution of population in Fujian province has the characteristics of spot and banded cluster.The evolution of spatial distribution of population in Fujian province is remarkable.Specifically speaking,the distribution imbalance increases with the passage of time,the gradual continuity and spatial autocorrelation of population distribution pattern are strong,and the level of spatial cluster is strong.High-high cluster and low-low cluster are two main types of population distribution.Compared with random factors,the spatial variability of population density is mainly caused by structural factors.In terms of evolution direction,the level of spatial variability in the northwest-southeast direction is strongest,which mainly leads to the difference of population distribution in the total direction.The influence level and direction of each factor on population distribution are different,which have regional difference,but show a certain regularity in space and time.In general,the gross domestic product pushes population cluster,while the average altitude restrains population cluster.As for education workers number,road mileages and medical personnel number,they have both pushing and restraining influences on population cluster.Comparatively speaking,the influences of gross domestic product and average altitude on population distribution are more remarkable.In this paper,compared with the traditional analysis based on administrative divisions,the microcosmic analysis of evolution characteristics of population spatial distribution pattern reflects finer information of spatial distribution of population systematically and comprehensively.It can provide a reference for the research of spatial distribution pattern of population in other areas.Meanwhile,the high-resolution spatial distribution data of population produced can provide a high-resolution data source for some population-related research.