Moving Objects Databases

Informationen zum Autor 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. 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. Klappentext Just when the world thought we had enough data--proliferated via the Web--we now have the enormous amount of dynamic data that will be generated by GPS systems and RFID tags. Driven by trends in consumer electronics (the use of GPS-equipped devices such as PDAs, GPS in automobiles, and in mobile phones) as well as the trend in companies and retail stores to track their products (using RFID tags), this book focuses on data management techniques for the huge volumes of changing data these systems will generate. Zusammenfassung Focuses on the modeling and design of data from moving objects - such as people! animals! vehicles! hurricanes! forest fires! oil spills and armies - as well as the storage! retrieval! and querying of that very voluminous data. This work demonstrates how concepts and techniques are used to integrate time and space in database applications. Inhaltsverzeichnis IntroductionSpatio-Temporal Databases in the PastModeling and Querying Current MovementModeling and Querying History of MovementData Structures and Algorithms for Moving Objects TypesThe Constraint Database ApproachSpatio-Temporal Indexing....

Autorentext
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. 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.

Klappentext
Just when the world thought we had enough data--proliferated via the Web--we now have the enormous amount of dynamic data that will be generated by GPS systems and RFID tags. Driven by trends in consumer electronics (the use of GPS-equipped devices such as PDAs, GPS in automobiles, and in mobile phones) as well as the trend in companies and retail stores to track their products (using RFID tags), this book focuses on data management techniques for the huge volumes of changing data these systems will generate.

Zusammenfassung
Focuses on the modeling and design of data from moving objects - such as people, animals, vehicles, hurricanes, forest fires, oil spills and armies - as well as the storage, retrieval, and querying of that very voluminous data. This work demonstrates how concepts and techniques are used to integrate time and space in database applications.

Inhalt

IntroductionSpatio-Temporal Databases in the PastModeling and Querying Current MovementModeling and Querying History of MovementData Structures and Algorithms for Moving Objects TypesThe Constraint Database ApproachSpatio-Temporal Indexing.