Spatial Data and Intelligence

.- Spatiotemporal Data Analysis.  

.- Multi-view Contrastive Clustering with Clustering Guidance and Adaptive Auto-en-coders.  

.- Cloud-Edge Collaborative Continual Adaptation for ITS Object Detection.  

.- Understanding Spatial Dependency among Spatial Interactions.  

.- An Improved DBSCAN Clustering Method for AIS Trajectories Incorporating DP Compression and Discrete Fréchet Distance.  

.- Structure and Semantic Contrastive Learning for Nodes Clustering in Heterogeneous Information Networks.  

.- Accuracy Evaluation Method for Vector Data Based on Hexagonal Discrete Global Grid.  

.- Applying Segment Anything Model to Ground-Based Video Surveillance for Identify-ing Aquatic Plant.  

.- Spatiotemporal Data Mining.  

.- Mining Regional High Utility Co-location Pattern.  

.- Local Co-location Pattern Mining Based on Regional Embedding.  

.- RCPM_RLM: A Regional Co-location Pattern Mining Method Based on Representa-tion Learning Model.  

.- Construction of a Large-Scale Maritime Elements Semantic Schema Based on Hetero-geneous Graph Models.  

.- OCGATL: One-Class Graph Attention Networks with Transformation Learning for Anomaly Detection For Argo Data.  

.- RGCNdist2vec: Using Graph Convolutional Networks and Distance2Vector to Esti-mate Shortest Path Distance along Road Networks.  

.- Self-supervised Graph Neural Network based Community Search over Heterogeneous Information Networks.  

.- Measurement and Research on the Conflict between Residential Space and Tourism Space in Pianyan Ancient Township.  

.- Spatiotemporal Data Prediction.  

.- Spatio-Temporal Sequence Prediction Of Diversion Tunnel Based On Machine Learn-ing Multivariate Data Fusion.