activity
20162022
most citedEfficient processing of raster and vector data

23 citations · 36 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DS2022

Augmented Thresholds for MONI

César Martínez-Guardiola, Nathaniel K. Brown, Fernando Silva-Coira +3

MONI (Rossi et al., 2022) can store a pangenomic dataset T in small space and later, given a pattern P, quickly find the maximal exact matches (MEMs) of P with respect to T. In thi…

cs.DS2019★ 2 cited

Space- and Time-Efficient Storage of LiDAR Point Clouds

Susana Ladra, Miguel R. Luaces, José R. Paramá +1

LiDAR devices obtain a 3D representation of a space. Due to the large size of the resulting datasets, there already exist storage methods that use compression and present some prop…

cs.DS2019★ 23 cited

Efficient processing of raster and vector data

Fernando Silva-Coira, José R. Paramá, Susana Ladra +2

In this work, we propose a framework to store and manage spatial data, which includes new efficient algorithms to perform operations accepting as input a raster dataset and a vecto…

cs.DS2018★ 2 cited

Towards a compact representation of temporal rasters

Ana Cerdeira-Pena, Guillermo de Bernardo, Antonio Fariña +2

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…

cs.DS2016★ 9 cited

Efficient Representation of Multidimensional Data over Hierarchical Domains

Nieves R. Brisaboa, Ana Cerdeira-Pena, Narciso López-López +3

We consider the problem of representing multidimensional data where the domain of each dimension is organized hierarchically, and the queries require summary information at a diffe…