Oracle Spatial GeoRaster

2017 ◽  
pp. 1522-1522
Keyword(s):  
Oracle Spatial

Oracle Spatial, Geometries

2008 ◽  
pp. 821-826 ◽  
Author(s):  
Ravi Kothuri ◽  
Siva Ravada
Keyword(s):  
Oracle Spatial

Research on the Spatial Query Technology of Geospatial Database

2014 ◽  
Vol 571-572 ◽  
pp. 600-605
Author(s):  
Lei Gang Sun ◽  
Jian Feng Liu ◽  
Quan Hong Xu
Keyword(s):  
Data Model ◽  
Storage Management ◽  
Geospatial Data ◽  
Spatial Query ◽  
Oracle Spatial ◽  
Practical Applications ◽  
Data Query ◽  
Geospatial Database ◽  
Data Volume ◽  
Query Model

The application requirement of Geospatial data is increasing and complex as it is getting numerous as a result of furthering study on geosciences. Based on a deeply research on Oracle Spatial storage management mechanism, this paper proposed a method that applies the graph theory to domain of optimizing spatial query of massive geographical data, and established a geospatial data query model in order to settle a problem of lower spatial query efficiency in geospatial database. Combining with the practical applications, this paper did a conventional spatial query test and a spatial query based on geospatial data model respectively. The result is that the spatial query based on geospatial data query model has a better efficiency than that on conventional method. Besides, this model can greatly improve the spatial query performance and this improvement will be increasingly apparent as the data volume increases.

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