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Title |
Compact Querieable Representations of Raster Data |
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Authors |
Guillermo de Bernardo, Sandra Alvarez-García, Nieves Brisaboa, Gonzalo Navarro, Óscar Pedreira Fernández |
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Publication date |
2013 |
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Abstract |
In Geographic Information Systems (GIS) the attributes of the space (altitude, temperature, etc.) are usually represented using a raster model. There are no compact representations of raster data that provide efficient query capabilities. In this paper we propose compact representations to efficiently store and query raster datasets in main memory. We experimentally compare our proposals with traditional storage mechanisms for raster data, showing that our structures obtain competitive space performance while efficiently answering range queries involving the values stored in the raster. |
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Downloaded |
6 times |
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Pages |
96-108 |
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Conference name |
International Symposium on String Processing and Information
Retrieval |
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Publisher |
Springer-Verlag (Berlin/Heidelberg, Germany) |
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Reference URL |
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