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.