Introduction Spatio-Temporal Databases in the Past Modeling and Querying Current Movement Modeling and Querying History of Movement Data Structures and Algorithms for Moving Objects Types The Constraint Database Approach Spatio-Temporal Indexing.
Moving Objects Databases is the first uniform treatment of moving objects databases, the technology that supports GPS and RFID. It focuses on the modeling and design of data from moving objects — such as people, animals, vehicles, hurricanes, forest fires, oil spills, armies, or other objects — as well as the storage, retrieval, and querying of that very voluminous data.
It includes homework assignments at the end of each chapter, exercises throughout the text that students can complete as they read, and a solutions manual in the back of the book.
This book is intended for graduate or advanced undergraduate students. It is also recommended for computer scientists and database systems engineers and programmers in government, industry and academia; professionals from other disciplines, e.g., geography, geology, soil science, hydrology, urban and regional planning, mobile computing, bioterrorism and homeland security, etc.
- Focuses on the modeling and design of data from moving objects--such as people, animals, vehicles, hurricanes, forest fires, oil spills, armies, or other objects--as well as the storage, retrieval, and querying of that very voluminous data.
- Demonstrates through many practical examples and illustrations how new concepts and techniques are used to integrate time and space in database applications.
- Provides exercises and solutions in each chapter to enable the reader to explore recent research results in practice.
Researchers, computer scientists and database systems engineers and programmers in government, industry and academia; professionals from other disciplines, e.g., geography, geology, soil science, hydrology, urban and regional planning, mobile computing, bioterrorism and homeland security, etc.
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- © Morgan Kaufmann 2005
- 23rd August 2005
- Morgan Kaufmann
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"This book represents a milestone in the synthesis of temporal and spatial database concepts and techniques. It unifies and organizes the existing research into a coherent whole and presents substantial new results and approaches in many areas. In each case it begins with what is known, then it introduces the new concepts in an abstract and general model, and then it translates the ideas into a pragmatic representation of data structures or SQL-like query language extensions. As such, the book makes both an excellent text and an excellent reference. It also takes you to the frontiers of our understanding, so it is a great point of departure for a new researcher who wants to advance this field." --from the foreword by Jim Gray, Microsoft Research
Ralf Hartmut Güting is Professor of computer science at the University of Hagen, Germany. After a one-year visit to the IBM Almaden Research Center in 1985, extensible and spatial database systems became his major research interests. He is the author of two German textbooks on data structures/algorithms and on compilers and has published about 50 articles on computational geometry and database systems. He is an associate editor of ACM Transactions on Database Systems.
University of Hagen, Germany
Markus Schneider is an Assistant Professor in the Computer Science Department of the University of Florida and holds a doctoral degree in Computer Science from the University of Hagen, Germany. He is author of a monograph in the area of spatial databases and of a German textbook on implementation concepts for database systems, and has published about 40 articles on database systems. He is on the editorial board of GeoInformatica.
University of Florida at Gainesville