
Spatial Data and Intelligence
4th International Conference, SpatialDI 2023, Nanchang, China, April 13-15, 2023, Proceedings
Springer (Publisher)
Published on 11. May 2023
Book
Paperback/Softback
X, 272 pages
978-3-031-32909-8 (ISBN)
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.
More details
Series
Edition
1st ed. 2023
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
47 s/w Abbildungen, 95 farbige Abbildungen
X, 272 p. 142 illus., 95 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 16 mm
Weight
435 gr
ISBN-13
978-3-031-32909-8 (9783031329098)
DOI
10.1007/978-3-031-32910-4
Schweitzer Classification
Other editions
Additional editions

Xiaofeng Meng | Xiang Li | Jianqiu Xu
Spatial Data and Intelligence
4th International Conference, SpatialDI 2023, Nanchang, China, April 13-15, 2023, Proceedings
E-Book
05/2023
Springer
€69.54
Available for download
Content
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.