Abstract
Spatial database research has continued to advance greatly in the last three decades addressing the growing data management and analysis needs of spatial applications. This research has produced a taxonomy of models for space, conceptual models, spatial query languages and query processing, spatial file organization and indexes, and spatial data mining. However, emerging needs for spatial database systems include the handling of 3-D spatial data, temporal dimension with spatial data, and spatial data visualization. In addition, the rise of new systems such as sensor networks and multicore processors is likely to have an impact in spatial databases. The goal of this article is to provide a broad overview of the recent advancements in spatial databases and of research needs in each area.
| Original language | English (US) |
|---|---|
| Title of host publication | Wiley Encyclopedia of Computer Science and Engineering |
| Publisher | Wiley |
| Pages | 1-22 |
| Number of pages | 22 |
| ISBN (Electronic) | 9780470050118 |
| ISBN (Print) | 9780471383932 |
| DOIs | |
| State | Published - Jan 1 2008 |
Bibliographical note
Publisher Copyright:© 2007 by John Wiley & Sons, Inc.
Keywords
- 3-d data
- data management
- database research
- spatial application
- spatial database
- spatial query languages
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