Computing with Spatial Trajectories

by Yu Zheng

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.

336 pages, Paperback

First published January 1, 2011

About the author

Yu Zheng is Vice President and Chief Data Scientist at JD Digits, where he is also President of the Urban Computing Business Unit and Director of JD Intelligent City Research. He is Chair Professor at Shanghai Jiao Tong University and Adjunct Professor at Hong Kong University of Science and Technology. He is the coeditor of Computing with Spatial Trajectories and Editor-in-Chief of ACM Transactions on Intelligent Systems and Technology.