Spatial Correlation Analysis Of Urban Greenland And Human Activities

The increase of the urban population has greatly impacted the city's original spatial structure,which has caused the city to suffer from various “urban diseases”,such as the decline in air quality and the pollution of the ecological environment.These problems have become major challenges for the development of many cities.The scientific allocation of urban green space ecological function space and the reasonable control of the scale of population agglomeration are important ways to alleviate this problem.Urban green space plays an important role in improving the urban human settlement environment.It not only provides citizens with recreational areas,but also can improve the quality of the environment and alleviate the deterioration of the urban environment.This paper takes Chengdu as the research object,uses 3S technology,landscape analysis,statistical analysis and other methods,and visualizes the spatial distribution of benefit function space and human activity intensity generated by urban green space,and analyzes the correlation of its spatial layout.Governance and planning of urban green space provide the scientific basis.The main research results are as follows:(1)Urban ecosystem spatial scope identification.Through the enhanced impervious surface index(ENDISI),the impermeability coefficient of each pixel is calculated on the basis of reflectance images,and the urban areas are binarized and impervious according to natural discontinuities.Here,the urban impervious surface area is used as the research area.Collect and process other relevant data based on this area.(2)Spatial Visualization of Urban Greenland Function.Using Google Image as the data source,testing and selecting the best visible light vegetation index,using object-oriented image classification methods,using ESP tools to segment the image at the best scale,using eCognition to extract high-precision green space,and By means of ArcPy and other tools,the intensity of urban green space ecological service supply in the study area is calculated and integrated maps are generated.(3)Reflect human activity intensity based on POI data.POI data has strong open source and rich information on human economic activities.The nuclear density analysis of various types of POI obtained by Python web crawler technology is performed,and the weighted superposition of various POI densities is used as a symbol of human activity intensity.(4)Analysis of spatial correlation characteristics of different green space functions and human activities.The green space function is based on the classification of service types,and the same spatial scale grid is used for the ecological service data and human activity intensity data.The two-variable global Moran'I statistic and the local spatial association index(LISA)are used as indicators based on the GeoDa software platform.,to extract spatial correlation characteristics of green space functions and human activities.The results show that: in the urban green space function in Chengdu,the climate regulation service is positively correlated with the intensity of human activities,showing an agglomeration distribution trend,while the biological habitat service and human activities have a discrete distribution in the spatial distribution.The results of this paper provide new ideas for analyzing the spatial correlation of urban green space and human activities.It can be used to study the laws of urban green space providing services to human activities,and the spatial distribution of urban green space types and effects can also be reasonable.Judging the nature of sexuality,and then achieving scientific control over the urban green space and population space balance,and providing assistance for the planning and governance of urban green space.