Computing with Spatial Trajectories

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 extr...

Full description

Bibliographic Details
Other Authors: Zheng, Yu (Editor), Zhou, Xiaofang (Editor)
Format: eBook
Language:English
Published: New York, NY Springer New York 2011, 2011
Edition:1st ed. 2011
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 03126nmm a2200409 u 4500
001 EB000363954
003 EBX01000000000000000217006
005 00000000000000.0
007 cr|||||||||||||||||||||
008 130626 ||| eng
020 |a 9781461416296 
100 1 |a Zheng, Yu  |e [editor] 
245 0 0 |a Computing with Spatial Trajectories  |h Elektronische Ressource  |c edited by Yu Zheng, Xiaofang Zhou 
250 |a 1st ed. 2011 
260 |a New York, NY  |b Springer New York  |c 2011, 2011 
300 |a XXV, 308 p  |b online resource 
505 0 |a Part I Foundations -- Trajectory Preprocessing -- Trajectory Indexing and Retrieval -- Part II Advanced Topics -- Uncertainty in Spatial Trajectories -- Privacy of Spatial Trajectories -- Trajectory Pattern Mining -- Activity Recognition from Trajectory Data -- Trajectory Analysis for Driving -- Location-Based Social Networks: Users -- Location-Based Social Networks: Locations 
653 |a Image processing / Digital techniques 
653 |a Geographical Information System 
653 |a Computer vision 
653 |a Information Storage and Retrieval 
653 |a Database Management 
653 |a Data mining 
653 |a Information storage and retrieval systems 
653 |a Computer Imaging, Vision, Pattern Recognition and Graphics 
653 |a Geographic information systems 
653 |a Data Mining and Knowledge Discovery 
653 |a Automated Pattern Recognition 
653 |a Database management 
653 |a Pattern recognition systems 
700 1 |a Zhou, Xiaofang  |e [editor] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
028 5 0 |a 10.1007/978-1-4614-1629-6 
856 4 0 |u https://doi.org/10.1007/978-1-4614-1629-6?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 005.74 
520 |a 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