Paper Info
Title
Spatial Databases-Accomplishments and Research Needs
Abstract
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.
Year
DOI
Venue
1999
10.1109/69.755614
IEEE Trans. Knowl. Data Eng.
Keywords
Field
DocType
data warehouse,spatial data type,research needs,associated research need,field data,spatial query language,spatial databases,spatial index,spatial databases-accomplishments,spatial application,spatial data management accomplishment,data management,data warehouses,geographic information systems,multidimensional,geographic information system,spatial data,spatial database,query language,database indexing,databases,query languages
Spatial analysis,Information system,Data mining,Geographic information system,Query language,Information retrieval,Computer science,Spatial query,Data management,Database,Spatial data infrastructure,Spatial network analysis software
Journal
Volume
Issue
ISSN
11
1
1041-4347
Citations 
PageRank 
References 
87
8.11
23
Authors
6
Name
Order
Citations
PageRank
Shashi Shekhar143521098.43
Sanjay Chawla21372105.09
Siva Ravada331530.92
Andrew Fetterer415322.43
Xuan Liu524819.36
Chang-Tien Lu61097115.77