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E-raamat: Spatial Data and Intelligence: 4th International Conference, SpatialDI 2023, Nanchang, China, April 13-15, 2023, Proceedings

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Spatial Data and Intelligence: 4th International Conference, SpatialDI 2023, Nanchang, China, April 13-15, 2023, ProceedingsSuurem pilt
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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.

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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