Spatial databases, addressing the growing data management and analysis needs of spatial applications such as Geographic Information Systems, have been an active area of research for more than two decades. This research has produced a taxonomy of models for space, spatial data types and operators, spatial query languages and processing strategies, as well as spatial indexes and clustering techniques. However, more research is needed to improve support for network and field data, as well as query processing (e.g., cost models, bulk load). Another important need is to apply spatial data management accomplishments to newer applications, such as data warehouses and multimedia information systems. The objective of this paper is to identify recent accomplishments and associated research needs of the near term.
|Original language||English (US)|
|Number of pages||11|
|Journal||IEEE Transactions on Knowledge and Data Engineering|
|State||Published - 1999|
Bibliographical noteFunding Information:
This work is sponsored, in part, by the United States Army High Performance Computing Research Center under the auspices of the Department of the Army, Army Research Laboratory Cooperative Agreement No. DAAH04-95-2-0003 and Contract No. DAAH04-95-C-0008, the contents of which do not necessarily reflect the position or the policy of the government; no official govenmental endorsement should be inferred. This work was also supported, in part, by the National Science Foundation under Grant No. 9631539. We thank Professor Jaideep Srivastava for technical commentary and Christiane McCarthy for helping to improve the readability of the paper.
Copyright 2012 Elsevier B.V., All rights reserved.
- Geographic information systems
- Spatial databases