Spatial Data and Intelligence : 4th International Conference, SpatialDI 2023, Nanchang, China, April 13–15, 2023, Proceedings

This book constitutes the refereed proceedings of the 4th International Conference on Spatial Data and Intelligence, SpatialDI 2023, held in Nanchang, China, in April 13–15, 2023. The 18 full papers included in this book were carefully reviewed and selected from 68 submissions. They were organized in topical sections as follows: traffic management; visualization analysis; spatial big data analysis; spatiotemporal data mining; spatiotemporal data storage; and metaverse. Preface Organization Contents Traffic Management APADGCN: Adaptive Partial Attention Diffusion Graph Convolutional Network for Traffic Flow Forecasting 1 Introduction 2 Related Works 2.1 Traffic Flow Forecasting 2.2 Graph Neural Networks 2.3 Attention Mechanism 3 Methodology 3.1 Preliminaries 3.2 Overview of Model Architecture 3.3 Multi-component 3.4 Spatial Correlation Modeling 3.5 Temporal Correlation Modeling 3.6 Multi-component Fusion 4 Experiments 4.1 Datasets 4.2 Settings 4.3 Baseline Methods 4.4 Comparison and Result Analysis 5 Conclusion References DeepParking: Deep Learning-Based Planning Method for Autonomous Parking 1 Introduction 2 Our Approach 2.1 Stage1: Rough Prediction 2.2 Stage2: Fine Optimization 2.3 Parking Scenarios Dataset 3 Experiments 3.1 Experimental Setup 3.2 Implementation Details 3.3 Metrics 3.4 Comparison to Other Planning Methods 3.5 Planning Performance Analysis 4 Conclusion References Recommendations for Urban Planning Based on Non-motorized Travel Data and Street Comfort 1 Introduction 2 Related Work 2.1 Estimation of Street Solar Radiation Values 2.2 Comfort Model 3 Method 3.1 Estimation of Street Solar Radiation Values Based on Baidu Street View Map 3.2 Model for Calculating GVI 3.3 Indirect Learning Based Comfort Model Construction 3.4 Methodology for Estimating Street Correction Urgency Indicators 4 Experimental Design and Results Analysis 4.1 Experimental Design 4.2 Experimental Results 5 Summary References A Composite Grid Clustering Algorithm Based on Density and Balance Degree 1 Introduction 2 Related Work 3 Preliminaries 3.1 Problem Definition 3.2 Mathematics Formulation 4 Methodology 4.1 Local Density 4.2 Distance Metric 4.3 BLA-Clique Clustering 5 Experiment Results and Analysis 5.1 Data Preprocessing 5.2 Experiment 6 Conclusion References Visualization Analysis Research on the Visualization Method of Weibo User Sentiment Analysis Based on IP Affiliation and Comment Content 1 Introduction 2 Related Work 3 The Technical Route 3.1 Acquisition of Weibo Comment Data 3.2 Weibo Corpus Preprocessing and Emotion Analysis Modeling 3.3 Visual Expression of Emotional Characteristics of Weibo Comments 4 Experimental Design and Result Analysis 4.1 Construction of Feature Element Data Set 4.2 Weibo Comment Emotion Classification 4.3 Temporal and Spatial Visualization of Weibo Comment Emotion 4.4 Analysis of Results 5 Summary and Prospect 5.1 Summary 5.2 Outlook References Village Web 3D Visualization System Based on Cesium 1 Introduction 2 System Architecture 3 The System Design 3.1 Data Organization and Loading Scheduling of 3D Model 3.2 Monomer of Oblique Photography 3D Model 3.3 Video Streaming and 3D Scene Fusion 4 Experiment 4.1 Experimental Environment and Data 4.2 Results 4.3 System 5 Conclusions References Spatial Big Data Analysis Spatial-Aware Community Search Over Heterogeneous Information Networks 1 Introduction 2 Related Work 3 Basic Concepts and Problem Definition 3.1 Basic Concepts 3.2 Problem Statement 4 SACS-HIN Search Algorithms 4.1 The ReaFirst Algorithm 4.2 The DistFirst Algorithm 4.3 The FastDist Algorithm 5 Experiments 5.1 Experiment Settings 5.2 Effectiveness Evaluation 5.3 Efficiency Evaluation 6 Conclusion References Ship Classification Based on Trajectories Data and LightGBM Considering Offshore Distance Feature 1 Introduction 2 Research Method 2.1 Method of Model Establishment 2.2 Calculation of Loss Value 3 AIS Data Preprocessing and Feature Extraction 3.1 AIS Data Preprocessing 3.2 Feature Extraction 4 Experiment and Analysis 4.1 Model Training 4.2 Results Analysis 5 Conclusion and Future Work References CDGCN: An Effective and Efficient Algorithm Based on Community Detection for Training Deep and Large Graph Convolutional Networks 1 Introduction 2 Related Works 2.1 Graph Convolutional Neural Networks 2.2 Community Detection 3 Mothed 3.1 Motivation 3.2 CDGCN 4 Experiments 4.1 Datasets and Evaluation Measure 4.2 Baselines 4.3 Results 4.4 Effect and Efficiency of CDGCN on Large Graphs 5 Conclusion References Investigate the Relationship Between Traumatic Occurrences and Socio-Economic Status Based on Geographic Information System (GIS): The Case of Qingpu in Shanghai, China 1 Introduction 2 Materials and Methods 2.1 Study Region 2.2 Data 2.3 Descriptive Statistics 3 Results and Analysis 3.1 Results of Trauma Incidences at the Individual Level 3.2 Results of Trauma Incidences at the Sub-district Level 4 Discussion and Limitations of the Study 5 Conclusions References Contact Query Processing Based on Spatiotemporal Trajectory 1 Introduction 2 Related Works 3 Problem Statement 4 Iteration-Based Trajectory Contact Search 5 3DGeoHash-DB Contact Search Algorithm 5.1 3DGeoHash 5.2 DBscanclustering Algorithm Based on Spatio-Temporal Grid 6 Experiments 6.1 Experiment Settings 6.2 Effectiveness Study 7 Conclusion References Influential Community Search Over Large Heterogeneous Information Networks 1 Introduction 2 Related Work 3 Problem Definition 4 Search Algorithm 4.1 Basic-Peel Algorithm 4.2 Advanced-Peel Algorithm 4.3 Reversed-Peel Algorithm 5 Experiments 5.1 Experimental Setup 5.2 Effectiveness Testing 5.3 Efficiency Testing 6 Conclusion References Spatiotemporal Data Mining Fast Mining Prevalent Co-location Patterns Over Dense Spatial Datasets 1 Introduction 1.1 Related Works 1.2 Our Contributions 2 Concepts and Principles 2.1 Discussion on Overlap Situations 2.2 Proposed Approach 3 PCPM-EMC 3.1 General Framework 3.2 Generate EMCs 3.3 Algorithm Analysis 4 Experimental Evaluation 4.1 Experimental Setup 4.2 EMCs Generation Comparison 4.3 Performance 5 Conclusion and Future Work References Continuous Sub-prevalent Co-location Pattern Mining 1 Introduction 2 Related Work 2.1 Prevalent Co-location Pattern 2.2 Sub-prevalent Co-location Pattern 3 Preliminaries and Problem Definition 3.1 Spatial Sub-prevalent Co-location Pattern 3.2 Continuous Sub-prevalent Co-location Pattern 4 Mining Algorithm 5 Experimental Results and Analysis 5.1 Efficiency Analysis 5.2 Case Analysis on Real Datasets 6 Conclusion References The Abnormal Detection Method of Ship Trajectory with Adaptive Transformer Model Based on Migration Learning 1 Introduction 2 Theory and Methodology 2.1 Trajectory Anomaly Detection Based on AIS Data 2.2 Adaptive Transformer Model Based on Transfer Learning 2.3 Adaptive Transformer Model 3 Experiments and Analysis 3.1 Experiment Data and Data Pre-processing 3.2 Experimental Results and Analysis 4 Conclusions References Spatiotemporal Data Storage A Comparative Study of Row and Column Storage for Time Series Data 1 Introduction 2 Related Work 3 Data Features and Storage Structure Analysis 3.1 Time Series Data Features 3.2 Row-Oriented Storage Structure 3.3 Column-Oriented Storage Structure 4 Experiment 4.1 OpenGauss 4.2 Datasets and Experimental Settings 4.3 Experimental Evaluation 5 Discussion 6 Conclusion References LOACR: A Cache Replacement Method Based on Loop Assist 1 Introduction 2 Background 2.1 Reuse Distance 2.2 Reference Pattern 2.3 Understanding Workloads 2.4 Related Work 3 LOACR 3.1 Loop Cache Space 3.2 Remaining Cache Space 4 Experiments 4.1 Cache Policies 4.2 Workloads 4.3 Result 5 Conclusion References Metaverse Unifying Reality and Virtuality: Constructing a Cohesive Metaverse Using Complex Numbers 1 Introduction 2 Complex Numbers 3 Construction of Analytic Functions 3.1 The Hilbert Transform 3.2 Analytic Signal 3.3 Analytic Signals in Signal Analysis 4 Final Remarks References Author Index