Spatial Data and Intelligence (eBook, PDF)

4th International Conference, SpatialDI 2023, Nanchang, China, April 13-15, 2023, Proceedings
Redaktion: Meng, Xiaofeng; Li, Yafei; Zheng, Bolong; Fang, Yuming; Zhang, Xueying; Xu, Jianqiu; Li, Xiang

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 272
• Erscheinungstermin: 10. Mai 2023
• Englisch
• ISBN-13: 9783031329104
• Artikelnr.: 68011582

Inhaltsangabe

Traffic Management.- APADGCN: Adaptive Partial Attention Diffusion Graph Convolutional Network for Traffic Flow Forecasting.- DeepParking: Deep Learning-based Planning Method for Autonomous Parking.- Recommendations for Urban Planning based on Non-motorized Travel Data and Street Comfort.- A Composite Grid Clustering Algorithm based on Density and Balance Degree.- Visualization Analysis.- Research on the Visualization Method of Weibo User Sentiment Analysis based on IP Affiliation and Comment Content.- Village Web 3D Visualization System based on Cesium.- Spatial Big Data Analysis.- Spatial-Aware Community Search over Heterogeneous Information Networks.- Ship Classification Based on Trajectories Data and LightGBM Considering Offshore Distance Feature.- CDGCN: An Effective and Efficient Algorithm based on Community Detection for Training Deep and Large Graph Convolutional Networks.- Investigate the Relationship between Traumatic Occurrencesand Socio-economic Status based on Geographic Information System (GIS): The Case of Qingpu in Shanghai, China.- Contact Query Processing based on Spatiotemporal Trajectory.- Influential Community Search over Large Heterogeneous Information Networks.- Spatiotemporal Data Mining.- Fast Mining Prevalent Co-location Patterns over Dense Spatial Datasets.- Continuous Sub-prevalent Co-location Pattern Mining.- The Abnormal Detection Method of Ship Trajectory with Adaptive Transformer Model based on Migration Learning.- Spatiotemporal Data Storage.- A Comparative Study of Row and Column Storage for Time Series Data.- LOACR: A Cache Replacement Method Based on Loop Assist.- Metaverse.- Unifying Reality and Virtuality: Constructing a Cohesive Metaverse Using Complex Numbers.