Research on governance path of urban stock spatial data based on big data technology
GAO Qinxin
XU Beibei
ZHENG Ye
Abstract：Traditional data management methods face challenges when dealing with massive,multi-source,and heterogeneous data in stock space.The article aims to explore the application path of big data technology in urban stock spatial data management.By analyzing the complexity and management requirements of existing spatial data,key technical links such as data collection,storage,processing,and analysis are sorted out.On this basis,design and propose a theoretical management framework that integrates distributed data processing,high concurrency access,and multidimensional visualization analysis.This framework aims to provide a reference for the effective integration,in-depth analysis,and intelligent decision support of urban stock spatial data,assisting in urban renewal and refined governance.
Keywords：big dataspatial data managementurban stock-spacespatial governance
Publication Date：2025-11-25
Pages：5( 72-76 )