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Spatial Data and Intelligence

4th International Conference, SpatialDI 2023, Nanchang, China, April 13–15, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Xiaofeng Meng

    1. Renmin University of China, Beijing, China

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  2. Xiang Li

    1. East Normal China University, Shanghai, China

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  3. Jianqiu Xu

    1. Nanjing University of Aeronautics and Astronautics, Nanjing, China

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  4. Xueying Zhang

    1. Nanjing Normal University, Nanjing, China

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  5. Yuming Fang

    1. Jiangxi University of Finance and Economics, Nanchang, China

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  6. Bolong Zheng

    1. Huazhong University of Science and Technology, Wuhan, China

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  7. Yafei Li

    1. Zhengzhou University, Zhengzhou, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13887)

Included in the following conference series:

Conference proceedings info: SpatialDI 2023.

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About this book

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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Table of contents (18 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Traffic Management

    1. Front Matter

      Pages 1-1
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    2. APADGCN: Adaptive Partial Attention Diffusion Graph Convolutional Network for Traffic Flow Forecasting

      • Bowen Zhang, Bohan Li, Jinzhan Wei, Hao Wen
      Pages 3-20

    3. DeepParking: Deep Learning-Based Planning Method for Autonomous Parking

      • Yunxiao Shan, Ziwei Zhong, Li Fan, Huang Kai
      Pages 21-33

    4. Recommendations for Urban Planning Based on Non-motorized Travel Data and Street Comfort

      • Linfeng Xie, Zhiyong Yu, Fangwan Huang, Daoye Zhu
      Pages 34-54

    5. A Composite Grid Clustering Algorithm Based on Density and Balance Degree

      • Limin Guo, Dongze Li, Zhi Cai
      Pages 55-69

  3. Visualization Analysis

    1. Front Matter

      Pages 71-71
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    2. Research on the Visualization Method of Weibo User Sentiment Analysis Based on IP Affiliation and Comment Content

      • Hao Geng, Xiang Li, Wenbing Liu, Wei Zhao, Fang Ren
      Pages 73-88

    3. Village Web 3D Visualization System Based on Cesium

      • Guoxing Qu, Jie He, Jiarong Wang
      Pages 89-100

  4. Spatial Big Data Analysis

    1. Front Matter

      Pages 101-101
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    2. Spatial-Aware Community Search Over Heterogeneous Information Networks

      • Yi Zhou, Lihua Zhou, Jialong Wang, Lizhen Wang, Bing Kong
      Pages 103-114

    3. Ship Classification Based on Trajectories Data and LightGBM Considering Offshore Distance Feature

      • Li Xu, Xiaohui Chen, Bowei Wen, Jingzhen Ma, Yujun Wang, Qing Xu
      Pages 115-127

    4. CDGCN: An Effective and Efficient Algorithm Based on Community Detection for Training Deep and Large Graph Convolutional Networks

      • Yulong Ma, Bing Kong, Lihua Zhou, Hongmei Chen, Chongming Bao
      Pages 128-139

    5. Investigate the Relationship Between Traumatic Occurrences and Socio-Economic Status Based on Geographic Information System (GIS): The Case of Qingpu in Shanghai, China

      • Huili Jin, Hongwei Xia, Joseph Mango, Jing Wang, Hong Yi, Xiaoming Yu et al.
      Pages 140-153

    6. Contact Query Processing Based on Spatiotemporal Trajectory

      • Shuchang Zhang, Zhiming Ding
      Pages 154-164

    7. Influential Community Search Over Large Heterogeneous Information Networks

      • Xingyu Li, Lihua Zhou, Bing Kong, Lizhen Wang
      Pages 165-176

  5. Spatiotemporal Data Mining

    1. Front Matter

      Pages 177-177
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    2. Fast Mining Prevalent Co-location Patterns Over Dense Spatial Datasets

      • Junyi Li, Lizhen Wang, Vanha Tran, Junyi Li, Xiwen Jiang
      Pages 179-191

    3. Continuous Sub-prevalent Co-location Pattern Mining

      • Qilong Wang, Hongmei Chen, Lizhen Wang
      Pages 192-203

    4. The Abnormal Detection Method of Ship Trajectory with Adaptive Transformer Model Based on Migration Learning

      • Kexin Li, Jian Guo, Ranchong Li, Yujun Wang, Zongming Li, Kun Miu et al.
      Pages 204-220
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Other volumes

  1. Spatial Data and Intelligence

Editors and Affiliations

  • Renmin University of China, Beijing, China

    Xiaofeng Meng

  • East Normal China University, Shanghai, China

    Xiang Li

  • Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Jianqiu Xu

  • Nanjing Normal University, Nanjing, China

    Xueying Zhang

  • Jiangxi University of Finance and Economics, Nanchang, China

    Yuming Fang

  • Huazhong University of Science and Technology, Wuhan, China

    Bolong Zheng

  • Zhengzhou University, Zhengzhou, China

    Yafei Li

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