Compact Querieable Representations of Raster Data

@inproceedings{Bernardo2013CompactQR,
  title={Compact Querieable Representations of Raster Data},
  author={Guillermo de Bernardo and Sandra {\'A}lvarez-Garc{\'i}a and Nieves R. Brisaboa and Gonzalo Navarro and Oscar Pedreira},
  booktitle={SPIRE},
  year={2013}
}
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… CONTINUE READING
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