Trajectory Big Data Analysis in Spatial Data Intelligence:Multi-source Integration and Cutting-edge Developments
With the rapid development of mobile devices and sensor technology,trajectory big data has become one of the key data sources in spatial data intelligence research.Research in this field covers the complete process of acquisition,integration,analysis,as well as pattern mining and knowledge discovery of multi-source trajectory data,showing great potential in areas such as smart cities,traffic management,and location-based services.However,the complexity and diversity of trajectory data present numerous challenges in terms of processing,analysis,and utilization.To address these issues,the core methods for trajectory data acquisition and preprocessing,data storage,pattern recognition,and predictive analysis are systematically discussed,and the latest advancements in various application scenarios are summarized.In addition,the main challenges in current research are discussed,and future research directions are outlined,providing a valuable reference for related fields.
spatial data intelligencetrajectory big datadata analysis
万方数据
维普
