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Oracle Spatial, Raster Data

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Encyclopedia of GIS

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Synonyms

DEM; Field data; Gridded data; Image; Oracle spatial geoRaster; SQL

Definition

Oracle Spatial supports raster data storage and management within the Oracle relational database management system (RDBMS) server. This Oracle database feature is called GeoRaster, which lets you store, index, query, process, analyze, and deliver raster image and gridded data and its associated metadata. GeoRaster provides a native Structured Query Language (SQL) data type and an object relational schema. More specifically, it provides the SDO_GEORASTER data type, which can be used to define one or more columns of any user table. Each image or a multilayer grid, such as multispectral or hyperspectral images, digital elevation model (DEM), and thematic raster maps, is then stored as a GeoRaster object in a row of that column in that table. The user-defined table containing one or more SDO_GEORASTER columns is called a GeoRaster table, and a GeoRaster database is basically a list of such GeoRaster...

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References

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  • Murray C, Chen F, Lucena I, Xie Q, Zhang Z (2014) Oracle spatial and graph GeoRaster developer’s guide, 12c Release 1 (12.1). Oracle, Redwood Shores

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Author information

Authors and Affiliations

  1. Server Technologies & Location-Based Spatial Products, Oracle USA, Nashua, NH, USA

    Qingyun Xie

Authors
  1. Qingyun Xie
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Corresponding author

Correspondence to Qingyun Xie .

Editor information

Editors and Affiliations

  1. Minneapolis, Minnesota, USA

    Shashi Shekhar

  2. Rutgers Business School, Newark, New Jersey, USA

    Hui Xiong

  3. The University of Iowa Tippie College of Business, Iowa City, Iowa, USA

    Xun Zhou

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© 2016 Springer International Publishing Switzerland

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Xie, Q. (2016). Oracle Spatial, Raster Data. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-23519-6_938-2

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  • DOI: https://doi.org/10.1007/978-3-319-23519-6_938-2

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  • Publisher Name: Springer, Cham

  • Online ISBN: 978-3-319-23519-6

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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