Skip to main content
SpringerLink
Log in

Spatial Data and Intelligence

5th China Conference, SpatialDI 2024, Nanjing, China, April 25–27, 2024, Proceedings

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Xiaofeng Meng

    1. Renmin University of China, Beijing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Xueying Zhang

    1. Nanjing Normal University, Nanjing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Danhuai Guo

    1. Beijing University of Chemical Technology, Beijing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Di Hu

    1. Nanjing Normal University, Nanjing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Bolong Zheng

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  6. Chunju Zhang

    1. Hefei University of Technology, Hefei, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14619)

Included in the following conference series:

Conference proceedings info: SpatialDI 2024.

  • 1314 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 74.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This book constitutes the refereed post proceedings of the 5th China Conference on Spatial Data and Intelligence, SpatialDI 2024, held in Nanjing, China, during April 25–27, 2024.

The 25 full papers included in this book were carefully reviewed and selected from 95 submissions. They were organized in topical sections as follows: Spatiotemporal Data Analysis, Spatiotemporal Data Mining, Spatiotemporal Data Prediction, Remote Sensing Data Classification and Applications of Spatiotemporal Data Mining.

Keywords

Table of contents (25 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Spatiotemporal Data Analysis

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Multi-view Contrastive Clustering with Clustering Guidance and Adaptive Auto-encoders

      • Bingchen Guo, Bing Kong, Lihua Zhou, Hongmei Chen, Chongming Bao
      Pages 3-14

    3. Cloud-Edge Collaborative Continual Adaptation for ITS Object Detection

      • Zhanbiao Lian, Manying Lv, Xinrun Xu, Zhiming Ding, Meiling Zhu, Yurong Wu et al.
      Pages 15-27

    4. Understanding Spatial Dependency Among Spatial Interactions

      • Yong Gao, Haohan Meng, Tao Pei, Yu Liu
      Pages 28-43

    5. An Improved DBSCAN Clustering Method for AIS Trajectories Incorporating DP Compression and Discrete Fréchet Distance

      • Xiliang Liu, Xiaoying Zhi, Peng Wang, Qiang Mei, Haoru Su, Zhixiang He
      Pages 44-56

    6. Structure and Semantic Contrastive Learning for Nodes Clustering in Heterogeneous Information Networks

      • Yiwei Yu, Lihua Zhou, Chao Liu, Lizhen Wang, Hongmei Chen
      Pages 57-65

    7. An Accuracy Evaluation Method for Multi-source Data Based on Hexagonal Global Discrete Grids

      • Yue Ma, Guoqing Li, Long Zhao, Xiaochuang Yao
      Pages 66-79

    8. Applying Segment Anything Model to Ground-Based Video Surveillance for Identifying Aquatic Plant

      • Bao Zhu, Xianrui Xu, Huan Meng, Chen Meng, Xiang Li
      Pages 80-94

  3. Spatiotemporal Data Mining

    1. Front Matter

      Pages 95-95
      Download chapter PDF

    2. Mining Regional High Utility Co-location Pattern

      • Meiyu Xiong, Hongmei Chen, Lizhen Wang, Qing Xiao
      Pages 97-107

    3. Local Co-location Pattern Mining Based on Regional Embedding

      • Yumming Zeng, Lizhen Wang, Lihua Zhou, Hongmei Chen
      Pages 108-119

    4. RCPM_RLM: A Regional Co-location Pattern Mining Method Based on Representation Learning Model

      • Yi Cai, Lizhen Wang, Lihua Zhou, Hui Chen
      Pages 120-131

    5. Construction of a Large-Scale Maritime Elements Semantic Schema Based on Heterogeneous Graph Models

      • Xiaotong Liu, Yong Li, Peng Wang, Qiang Mei
      Pages 132-151

    6. OCGATL: One-Class Graph Attention Networks with Transformation Learning for Anomaly Detection for Argo Data

      • Yongguo Jiang, Hua Liu, Jiaxing Wang, Guangda Zhai
      Pages 152-173

    7. RGCNdist2vec: Using Graph Convolutional Networks and Distance2Vector to Estimate Shortest Path Distance Along Road Networks

      • Xiangfu Meng, Weipeng Xie, Jiangyan Cui
      Pages 174-187

    8. Self-supervised Graph Neural Network Based Community Search over Heterogeneous Information Networks

      • Jinyang Wei, Lihua Zhou, Lizhen Wang, Hongmei Chen, Qing Xiao
      Pages 188-198

    9. Measurement and Research on the Conflict Between Residential Space and Tourism Space in Pianyan Ancient Township

      • Hong Hui, Lan Feng, Renjun Zhang
      Pages 199-210

  4. Spatiotemporal Data Prediction

    1. Front Matter

      Pages 211-211
      Download chapter PDF

    2. Spatio-Temporal Sequence Prediction of Diversion Tunnel Based on Machine Learning Multivariate Data Fusion

      • Zenghui Bi, Huan Zhao, Changping Li, Yan Xia
      Pages 213-227
Back to top

Other volumes

  1. Spatial Data and Intelligence

Editors and Affiliations

  • Renmin University of China, Beijing, China

    Xiaofeng Meng

  • Nanjing Normal University, Nanjing, China

    Xueying Zhang, Di Hu

  • Beijing University of Chemical Technology, Beijing, China

    Danhuai Guo

  • Huazhong University of Science and Technology, Wuhan, China

    Bolong Zheng

  • Hefei University of Technology, Hefei, China

    Chunju Zhang

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation