Moving Objects Databases
The current trends in consumer electronics--including the use of GPS-equipped PDAs, phones, and vehicles, as well as the RFID-tag tracking and sensor networks--require the database support of a specific flavor of spatio-temporal databases. These we call Moving Objects Databases.
Why do you need this book? With current systems, most data management professionals are not able to smoothly integrate spatio-temporal data from moving objects, making data from, say, the path of a hurricane very difficult to model, design, and query. Whether your field is geology, national security, urban planning, mobile computing, or almost anything in between, this book's concepts and techniques will help you solve the data management problems associated with this kind of data.
+ 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.
Click here to view more details on Moving Objects Databases (Preface, TOC, Chapter 1, References, etc.).
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2 SpatioTemporal Databased in the Past
3 Modeling and Querying Current Movement
4 Modeling and Querying History of Movement
5 Data Structures and Algorithms for Moving Objects Types
6 The Constraint Database Approach
7 SpatioTemporal Indexing
Other editions - View all
abstract model algebra algorithm argument assume attribute bitemporal bool bounding boxes carrier set complexity compute constraint convex polygons corresponding data model data structure data types DBMS defined Definition denote described deviation discrete model disjoint disk accesses elem end point endif Erwig evaluated example Figure formula function given halfsegments Hence index structures insertion inside instant intersection interval kernel algebra leaf node line segment linear loc.uncertainty mbool monotone polygons moving objects databases moving point moving region moving(point mreal mregion O(logB objects databases operations overlap partition tree plane point set projection query language R-complex R-tree rectangle region value representation represented result retrieve Section SELECT semantics signature simple polygon simplicial simplicial complexes space Spatial Databases spatial objects spatio-temporal predicates ST-complex stored string symbolic tuples temporal databases temporal types timestamp tion trajectory true uncertainty unit update valid well-formed formula
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