Spatial Data and Intelligence : 4th International Conference, SpatialDI 2023, Nanchang, China, April 13-15, 2023, Proceedings (Lecture Notes in Computer Science)

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Spatial Data and Intelligence : 4th International Conference, SpatialDI 2023, Nanchang, China, April 13-15, 2023, Proceedings (Lecture Notes in Computer Science)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 272 p.
  • 商品コード 9783031329098

Full Description

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.

Contents

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.

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