Towards a Compact Representation of Temporal Rasters
Use este enlace para citar
http://hdl.handle.net/2183/34584Coleccións
Metadatos
Mostrar o rexistro completo do ítemTítulo
Towards a Compact Representation of Temporal RastersAutor(es)
Data
2018-09Cita bibliográfica
Cerdeira-Pena, A., de Bernardo, G., Fariña, A., Paramá, J.R., Silva-Coira, F. (2018). Towards a Compact Representation of Temporal Rasters. In: Gagie, T., Moffat, A., Navarro, G., Cuadros-Vargas, E. (eds) String Processing and Information Retrieval. SPIRE 2018. Lecture Notes in Computer Science(), vol 11147. Springer, Cham. https://doi.org/10.1007/978-3-030-00479-8_10
Resumo
[Abstract]: Big research efforts have been devoted to efficiently manage spatio-temporal data. However, most works focused on vectorial data, and much less, on raster data. This work presents a new representation for raster data that evolve along time named Temporal
. It faces the two main issues that arise when dealing with spatio-temporal data: the space consumption and the query response times. It extends a compact data structure for raster data in order to manage time and thus, it is possible to query it directly in compressed form, instead of the classical approach that requires a complete decompression before any manipulation. In addition, in the same compressed space, the new data structure includes two indexes: a spatial index and an index on the values of the cells, thus becoming a self-index for raster data.
Palabras chave
Temperature Raster
Compact Data Structure
Raster Data Management
Raster Matrix
NetCDF
Compact Data Structure
Raster Data Management
Raster Matrix
NetCDF
Descrición
Presented at the 25th International Symposium, SPIRE 2018, Lima, Peru, October 9-11, 2018. This version of the conference paper (book chapter) has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-030-00479-8_10
Versión do editor
ISBN
978-3-030-00478-1