Computing with Spatial Trajectories

  • Yu Zheng
  • Xiaofang Zhou

Table of contents

  1. Front Matter
    Pages i-xxv
  2. Foundations

    1. Front Matter
      Pages 1-1
    2. Wang-Chien Lee, John Krumm
      Pages 3-33
    3. Ke Deng, Kexin Xie, Kevin Zheng, Xiaofang Zhou
      Pages 35-60
  3. Advanced Topics

    1. Front Matter
      Pages 61-61
    2. Goce Trajcevski
      Pages 63-107
    3. Chi-Yin Chow, Mohemad F. Mokbel
      Pages 109-141
    4. Hoyoung Jeung, Man Lung Yiu, Christian S. Jensen
      Pages 143-177
    5. Yin Zhu, Vincent Wenchen Zheng, Qiang Yang
      Pages 179-212
    6. John Krumm
      Pages 213-241
    7. Yu Zheng
      Pages 243-276
    8. Yu Zheng, Xing Xie
      Pages 277-308

About this book

Introduction

Spatial trajectories have been bringing the unprecedented wealth to a variety of research communities. A spatial trajectory records the paths of a variety of moving objects, such as people who log their travel routes with GPS trajectories. The field of moving objects related research has become extremely active within the last few years, especially with all major database and data mining conferences and journals.

Computing with Spatial Trajectories introduces the algorithms, technologies, and systems used to process, manage and understand existing spatial trajectories for different applications. This book also presents an overview on both fundamentals and the state-of-the-art research inspired by spatial trajectory data, as well as a special focus on trajectory pattern mining, spatio-temporal data mining and location-based social networks. Each chapter provides readers with a tutorial-style introduction to one important aspect of location trajectory computing, case studies and many valuable references to other relevant research work.

Computing with Spatial Trajectories is designed as a reference or secondary text book for advanced-level students and researchers mainly focused on computer science and geography. Professionals working on spatial trajectory computing will also find this book very useful.

Keywords

Spatial trajectories moving objects spatio-temporal data mining trajectory compression

Editors and affiliations

  • Yu Zheng
    • 1
  • Xiaofang Zhou
    • 2
  1. 1.Microsoft Research AsiaBeijingChina, People's Republic
  2. 2., School of Information TechnologyUniversity of QueenslandBrisbaneAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-1629-6
  • Copyright Information Springer Science+Business Media, LLC 2011
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4614-1628-9
  • Online ISBN 978-1-4614-1629-6
  • About this book