Analysis of Urban Living Space Patterns in the Context of Aging Population Considering the Exploratory Spatial Data Analysis Method

The continuous development of the city has attracted more and more residents to work and live. At the same time, various environmental problems have appeared, which affect the living environment of urban residents. How to effectively evaluate the living environment, especially the aging era is approaching, is one of the key directions of urbanization research. In view of these deficiencies and needs, this paper attempts to introduce exploratory spatial data analysis methods, based on grid computing technology and GIS analysis technology, and puts forward the necessity and urgency of adjusting and improving residential space layout planning and residential space planning indicators in order to create an urban community living environment suitable for “old people living in” and from the aspects of land use structure, area indicators put forward reasonable suggestions on facility allocation. Taking a community as the specific research object, this paper analyzes the spatial analysis of the internal living environment by constructing the spatial pattern analysis index system, so as to provide decision support for spatial layout and planning from the perspective of spatial connection. The simulation results show that the exploratory spatial data analysis method is effective and can meet the needs of urban residential spatial pattern analysis under the background of aging.