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Spatial Databases
Spatial data is associated with geographic locations such as cities,towns etc. A spatial database is optimized to store and query data representing objects. These are the objects which are defined in a geometric space.
Characteristics of Spatial Database
A spatial database system has the following characteristics
- It is a database system
- It offers spatial data types (SDTs) in its data model and query language.
- It supports spatial data types in its implementation, providing at least spatial indexing and efficient algorithms for spatial join.
Example
A road map is a visualization of geographic information. A road map is a 2-dimensional object which contains points, lines, and polygons that can represent cities, roads, and political boundaries such as states or provinces.
In general, spatial data can be of two types −
- Vector data: This data is represented as discrete points, lines and polygons
- Rastor data: This data is represented as a matrix of square cells.
The spatial data in the form of points, lines, polygons etc. is used by many different databases as shown above.
- Related Articles
- What is Spatial Data Mining?
- Use of SPATIAL function in SAP HANA
- NoSQL Databases
- Relational Databases
- Cloud Databases
- Graph Databases
- Multimedia Databases
- Mobile Databases
- Multidimensional Databases
- What is Spatial Filtering (Beamforming) in Wireless Communications?
- What are the primitives of spatial data mining?
- What are the techniques of spatial domain watermarking?
- Types of databases
- Object-Oriented Databases
- Introduction to Databases

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