Meng / Li / Xu Spatial Data and Intelligence

4th International Conference, SpatialDI 2023, Nanchang, China, April 13–15, 2023, Proceedings
Erscheinungsjahr 2023
ISBN: 978-3-031-32910-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 272 Seiten

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Meng, Xiaofeng

Li, Xiang

Xu, Jianqiu

Zhang, Xueying

Fang, Yuming

Zheng, Bolong

Li, Yafei

Inhaltsverzeichnis

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.