Spatial Data and Intelligence - Third International Conference, SpatialDI 2022, Wuhan, China, August 5-7, 2022, Revised Selected Papers

This book constitutes the refereed proceedings of the Third International Conference, SpatialDI 2022, Wuhan, China, August 5-7, 2022, Revised Selected Papers. 
The 19 full papers and 1 short paper included in this book were carefully reviewed and selected from 77 submissions. They were organized in topical sections as follows: Traffic Management, Data science, City Analysis.

List of contents

Traffic Management.- Coarse-Grained Path Planning under Dynamic.- Jointly Modeling Intersections and Road Segments for Travel.- We-map Orientation Method Suitable for General.- Feature Extraction and Marking Method of Inertial Navigation Trajectory.- Spatio-temporal disparity of traffic accidents between the elderly.- Data science.-  Using DBSCAN-RF Algorithm and Multi-source Features to.- Diversified Top-k Spatial Pattern Matching.- Information Diffusion Prediction Based on Deep Attention.- AIS Data Driven CNN-BiGRU Model.- Heterogeneous Network Representation Learning Based on.- GWmodelS: a high-performance computing framework for.- Spatio-temporal Variability of Global Aerosol.- City Analysis.- Research on the prediction model of sites in Kashgar.- Research on the spatial characteristics of high-density urban road network and.- Hot Public Appeal Extraction and Visualanalysis Combined BERT.- Study on the differences of urban thermal environment.- Response of urban park visitor behavior.- MAHGE: Point-of-Interest Recommendation using Meta-path.- A Novel Method for Groups Identification.

Product details

• Assisted by: Qingfeng Guan (Editor), Guoliang Li (Editor), Jianzhong Li (Editor), Jianzhong Li et al (Editor), Guoqiong Liao (Editor), Yu Liu (Editor), Xiaofeng Meng (Editor), Xuan Song (Editor), Huayi Wu (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 18.01.2023
• EAN: 9783031245206
• ISBN: 978-3-0-3124520-6
• No. of pages: 281
• Dimensions: 155 mm x 16 mm x 235 mm
• Illustrations: X, 281 p. 108 illus., 81 illus. in color.
• Series: Lecture Notes in Computer Science
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Application software