Application of Spatiotemporal Pattern Mining Methods for Land Use Transition Research: A Case Study of Baiyun District in Guangzhou

The use of spatio-temporal statistical combination method to explore the land transition in urban suburbs provides an essential resource for promoting urban-rural integration and management further urbanization. A Space Time Cube Geodetector methods was used quantitatively identify dominant morphology change, recessive driving mechanism Baiyun District, a suburb Guangzhou from 1980 2020. Between these years, changes were dominated by expansion built-up shrinkage cropland. took place southern (1990-2000) central (2000-2005) areas jurisdiction, followed large-scale decentralization (2005-2010). Land activities showed downward trend. continuous cold spot mainly distributed southeast remote near center, whereas hot spatially characterized multinuclear pattern, concentrated center south. Socioeconomic factors significantly affected spatial pattern activities. trend turning change can be divided into four stages: primitivation 1990, fragmentation 1990 2000, overflow 2000 2010, intensification 2010 present. District is at forefront China’s development has typical “suburban” characteristics, which provide reference other China develop stages. Today, face problems limited resources mixed space. Taking advantage new national strategic environment could effectively solve issues achieve sustainable development. New trends research, also considering effects mechanisms integrated manner, are conducive deepening understanding transitions. Moreover, spatiotemporal have innovated field mining characteristics use. Based on scientific analysis, we able reconstruct three-dimensional space improve applied research change.