Research On The Spatial Layout And Spatial Correlation Of The Service Industry In Jinan Based On GIS And RS

In recent years,the proportion of service industry in GDP has gradually increased,and it has become an important force driving urban economic growth,adjusting urban economic structure,and shaping urban internal spatial patterns.Studying the spatial pattern of service industry has important reference value for urban planning decision.Based on POI and remote sensing data of Jinan 's service industry,this paper uses spatial statistics,GIS spatial analysis and other technical methods to study the status and characteristics of Jinan 's service industry 's spatial layout and explore the spatial correlation characteristics of each service industry.The main research contents and conclusions are as follows:(1)Based on the POI data of Jinan service industry,the spatial layout of Jinan service industry is explored from the whole to the part by means of spatial trend analysis,center of gravity analysis,standard deviation ellipse,nuclear density analysis and hot spot analysis.Results show that: The agglomeration centers of all levels of service industry are mostly located in the central urban area,and the agglomeration phenomenon of service industry in surrounding counties is not obvious;The service industry as a whole presents an inverted U-shaped distribution in the north-south direction,and the number in the East is higher than that in the West;The center of gravity of each service industry is distributed along the north-south axis,and the distribution trend is roughly northeast southwest;The hot and cold areas in different industries are different.The hot areas are mainly located at the junction of Lixia District,Licheng District,Shizhong District and Huaiyin District.(2)Using the method of location entropy to measure the spatial differentiation of service industry specialization level in Jinan.The results show that: The degree of specialization of service industry in Jinan varies greatly from town to town.The circulation department in the central urban area and the department serving the improvement of scientific culture and the quality of residents are more professional than the surrounding towns;The departments serving production and living show the opposite phenomenon,and the surrounding towns and villages show a strong specialization advantage.There are obvious differences in location entropy among towns in the sectors serving the public needs.Towns with obvious specialization advantages are mainly located in surrounding counties.(3)Spatial coupling analysis of night light remote sensing data and service POI data in Jinan in 2018.Results show that: The night lighting data is highly coupled with the POI data of all levels of the service industry.The spatial distribution of the two in Jinan is highly consistent,showing a trend of circular expansion from the central city to the surrounding area.The "highhigh" coupling areas of luminous remote sensing data and service industry data at all levels are located at the junction of the four districts in the center.Only the departments serving for production and living coupled with nighttime lighting data show that the service industry density is higher than nighttime lighting value,and the coupling area is mainly concentrated in suburban towns.(4)Using correlation analysis to study the correlation between the number and spatial distribution of service industries.The results show that: Except for farming industry,the distribution of POI density in service industries has a significant correlation;The overall spatial autocorrelation of various industries in the service industry is extremely significant.In the results of local autocorrelation analysis,the high and high clustering values are mainly concentrated in the central urban area.Using dual-variable spatial correlation analysis method to further detect the spatial correlation characteristics of residential area and service industry.Results show that: There is no obvious spatial relationship between the residential area and farming industry,and the overall spatial correlation with the remaining industries is extremely significant.The overall spatial correlation characteristics are obvious,and there are industry and spatial differences in the local spatial correlation.