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Spatial data and intelligence : 4th International Conference, SpatialDI 2023, Nanchang, China, April 13-15, 2023, Proceedings / Xiaofeng Meng, Xiang Li, Jianqiu Xu, Xueying Zhang, Yuming Fang, Bolong Zheng, Yafei Li, editors.

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 13887.Publisher: Cham : Springer, 2023Description: 1 online resource (x, 272 pages) : illustrations (some color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031329104
  • 3031329104
Other title:
  • SpatialDI 2023
Subject(s): Genre/Form: Additional physical formats: No titleDDC classification:
  • 910.285 23/eng/20230517
LOC classification:
  • G70.217.G46
Online resources:
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 Occurrences and 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.
Summary: 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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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 Occurrences and 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.

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.

Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed May 17, 2023).

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