Towards a Compact Representation of Temporal Rasters

  • Ana Cerdeira-Pena
  • Guillermo de Bernardo
  • Antonio Fariña
  • José Ramón ParamáEmail author
  • Fernando Silva-Coira
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11147)


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 \(\mathsf {k^2raster} \). 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.


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Ana Cerdeira-Pena
    • 1
  • Guillermo de Bernardo
    • 1
    • 2
  • Antonio Fariña
    • 1
  • José Ramón Paramá
    • 1
    Email author
  • Fernando Silva-Coira
    • 1
  1. 1.Fac. Informática, CITICUniversidade da CoruñaA CoruñaSpain
  2. 2.Enxenio S.L.A CoruñaSpain

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