Optimizing Spatial Databases
نویسندگان
چکیده
منابع مشابه
Optimizing Spatial Databases
This paper describes the best way to improve the optimization of spatial databases: through spatial indexes. The most commune and utilized spatial indexes are R-tree and Quadtree and they are presented, analyzed and compared in this paper. Also there are given a few examples of queries that run in Oracle Spatial and are being supported by an R-tree spatial index. Spatial databases offer special...
متن کاملSpatial Databases
Spatial database research has continued to advance greatly since three decades ago, 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 databa...
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Spatial databases have been increasingly and widely used in recent years. The R-tree proposed by Guttman is probably the most popular dynamic index structure for eciently retrieving objects from a spatial database according to their spatial locations. However, experiments show that only about 70% storage utilization can be achieved in Guttman's R-tree and its variants. In this paper, we propos...
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Time in spatial databases is an option that is often required by many applications in GIS for analysis of history, trends monitoring changes, etc. However, not many applications are available in the world that registers temporal attributes in their databases.
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The main purpose of this paper is to investigate the characteristics that distinguish spatial databases systems from traditional ones. Guided by the concept of genericity, we give an overview of some well-known data models and query languages of spatial database systems. For spatial databases the concept of genericity, as introduced by Chandra and Harel for classical databases 5], breaks up in ...
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ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2011
ISSN: 1556-5068
DOI: 10.2139/ssrn.1800758