Anzeige
Erschienen in:
2013 | OriginalPaper | Buchkapitel
Compact Querieable Representations of Raster Data
verfasst von : Guillermo de Bernardo, Sandra Álvarez-García, Nieves R. Brisaboa, Gonzalo Navarro, Oscar Pedreira
Erschienen in: String Processing and Information Retrieval
Verlag: Springer International Publishing
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.