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What is Spatial Query Processing

Chapter 30
Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends
It focuses on extracting information from a large amount of spatial data without actually changing the spatial database. It is different to the concept of query optimization that focuses in finding the best query evaluation plan that minimizes the most relevant performance measure (e.g. CPU, I/O, etc.).
Published in Chapter:
Query Processing in Spatial Databases
Antonio Corral (University of Almeria, Spain) and Michael Vassilakopoulos (University of Central Greece, Greece)
Copyright: © 2009 |Pages: 10
DOI: 10.4018/978-1-60566-242-8.ch030
Abstract
Spatial data management has been an active area of intensive research for more than two decades. In order to support spatial objects in a database system several important issues must be taken into account such as: spatial data models, indexing mechanisms and efficient query processing. A spatial database system (SDBS) is a database system that offers spatial data types in its data model and query language and supports spatial data types in its implementation, providing at least spatial indexing and efficient spatial query processing (Güting, 1994). The main reason that has caused the active study of spatial database management systems (SDBMS) comes from the needs of the existing applications such as geographical information systems (GIS), computer-aided design (CAD), very large scale integration design (VLSI), multimedia information systems (MIS), data warehousing, multi-criteria decision making, location-based services, etc.
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