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.   .- DyAdapTransformer: Dynamic Adaptive Spatial-Temporal Graph Transformer for Traffic Prediction.   .- Predicting Future Spatio-Temporal States Using a Robust Causal Graph Attention Model.   .- Remote Sensing Data Classification.   .- MADB-RemdNet for Few-Shot Learning in Remote Sensing Classification.   .- Convolutional Neural Network Based on Multiple Attention Mechanisms for Hyper-spectral and LiDAR Classification.   .- Few-shot Learning Remote Scene Classification Based On DC-2DEC.   .- Applications of Spatiotemporal Data Mining.   .- Neural HD Map Generation from Multiple Vectorized Tiles Locally Produced by Au-tonomous Vehicles.   .- Trajectory Data Semi-fragile Watermarking Algorithm Considering Spatiotemporal Features.   .- HPO-LGBM-DRI: Dynamic Recognition Interval Estimation for Imbalanced Fraud Call via HPO-LGBM.   .- A Review on Urban Modelling for Future Smart Cities.