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.

Sommario

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.

Dettagli sul prodotto

• Con la collaborazione di: Qingfeng Guan (Editore), Guoliang Li (Editore), Jianzhong Li (Editore), Jianzhong Li et al (Editore), Guoqiong Liao (Editore), Yu Liu (Editore), Xiaofeng Meng (Editore), Xuan Song (Editore), Huayi Wu (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 18.01.2023
• EAN: 9783031245206
• ISBN: 978-3-0-3124520-6
• Pagine: 281
• Dimensioni: 155 mm x 16 mm x 235 mm
• Illustrazioni: X, 281 p. 108 illus., 81 illus. in color.
• Serie: Lecture Notes in Computer Science
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Software applicativo