Spatial Data and Intelligence

Chapter 1 Coarse-Grained Path Planning Under Dynamic Situational Environment

Chapter 2 Jointly Modeling Intersections and Road Segments for Travel Time Estimation via Dual Graph Convolutional Networks

Chapter 3 We-Map Orientation Method Suitable for General Public with Weak Sense of Orientation

Chapter 4 Feature Extraction and Marking Method of Inertial Navigation Trajectory Based on Permutation Entropy Under Road Constraints

Chapter 5 Spatio-Temporal Disparity of Traffic Accidents Between the Elderly Involved and Non-elderly Groups in Kumamoto, Japan

Chapter 6 Using DBSCAN-RF Algorithm and Multi-source Features to Model Deep Convection in Hubei, China

Chapter 7 Diversified Top- k Spatial Pattern Matching

Chapter 8 Information Diffusion Prediction Based on Deep Attention in Heterogeneous Networks

Chapter 9 AIS Data Driven CNN-BiGRU Model for Ship Target Classification

Chapter 10 Heterogeneous Network Representation Learning Based on Adaptive Multi-channel Graph Convolution

Chapter 11 GWmodelS: A High-Performance Computing Framework for Geographically Weighted Models

Chapter 12 Spatio-Temporal Variability of Global Aerosol Optical Depth During 2000–2019

Chapter 13 Research on the Prediction Model of Sites in Kashgar Based on Logistic Regression Analysis

Chapter 14 Research on the Spatial Characteristics of High-Density Urban Road Network and Functional Agglomeration Taking the Northern Part of Macau as an Example

Chapter 16 Study on the Differences of Urban Thermal Environment Under the Framework of Local Climate Zones

Chapter 17 Response of Urban Park Visitor Behavior to Water Quality in Beijing

Chapter 18 MAHGE: Point-of-Interest Recommendation Using Meta-path Aggregated Heterogeneous Graph Embeddings

Chapter 19 A Novel Method for Groups Identification Based on Spatio-Temporal Trajectories