Analysis Of Temporal And Spatial Changes Of Marital Status In Shanxi Province Since 21st Century

Marital status is the marital status of each person in an area under the age of 15 years and older,including unmarried,spouse,widowhood,divorce four conditions.Since the21 st century,with the rapid development of economy and the change of society,the marital status of Shanxi province has also changed.It is of great theoretical significance to explore the spatial and temporal evolution of marital status in Shanxi province for the relevant functional departments in Shanxi province to formulate scientific marriage policy and maintain social stability in Shanxi province.Therefore,based on the basic theory of human geography,this paper makes a systematic study on the temporal and spatial changes of marital status in Shanxi province by using the methods of exploratory spatial data Analysis(ESDA),Kriging spatial interpolation and GIS spatial superposition analysis.First of all,this paper analyzes the main differences in the overall existence of marital status in Shanxi Province,and draws the following conclusions: In terms of age differences,the unmarried rate is greatly increased,the age peak group with spousal rate is delayed,the middle-aged population becomes the main body of divorce,the widowhood rate has a downward trend and peaked in the age group of 65 years,The unmarried rate in urban areas is higher than that in rural areas,rural areas,the rate of divorce is higher than in urban areas,urban and rural widowhood rates show that women are superior to men;In terms of differences in educational attainment,there is a positive correlation between unmarried rate and educational level,and there is a negative correlation between spousal rate,divorce rate and widowhood rate.In terms of occupational differences,the unmarried rate,divorce rate and widowhood rate of occupational groups in state organs are lower,and the occupational staff who are inconvenient to classify are higher.Secondly,the analysis of the spatial autocorrelation of marital status in ShanxiProvince shows that there are obvious spatial agglomeration characteristics: the hot spots of unmarried rate are transferred from the areas with relatively backward economic development,such as in Luliang district,to the central economically developed areas,the cold point areas are mainly concentrated in the intersection area of Yuncheng and Jincheng.;Hotspots with spousal rates are mainly distributed in the Jinnan and Jindong regions,and the distribution in cold spots is less stable,and the hotspots of divorce rates are mainly distributed in the Xinzhou area and cold spots,mainly in in Linfen area;The aggregation of widowhood rates is gradually decreasing,and hot spots are mainly distributed in the southeastern region of Jin and the cold spots in the city of Lvliang.Thirdly,this paper uses the method of Kriging interpolation and GIS spatial superposition analysis to simulate and quantitatively analyze the spatial distribution and temporal and spatial changes of marital status in Shanxi province.In terms of spatial distribution: the unmarried rate in Shanxi Province shows the characteristics of the lower Western,central and eastern regions,and the spouse rate shows the characteristics of high and low north and south,and the divorce rate shows the characteristics of high and low in the north,and the widowhood rate is characterized by decreasing from southeast to northwest.In terms of the magnitude of change: the increase of unmarried rate and divorce rate and the decrease of spousal rate in municipal districts of prefecture-level cities are significantly higher than those in the surrounding areas,and the widowhood rate decreases gradually,and the difference of widowhood rate between regions is decreasing.Finally,this paper probes into the influencing factors of the spatial and temporal evolution of marital status in Shanxi Province from the macroscopic point of view: The natural factors are mainly the influence of topography;the economic factors are the difference of urban and rural economic difference,occupational income and stability,and the social factors are the increase of education level,the imbalance of sex ratio,the age structure of population.