Sampling strategies to create moving regions from real world observations
Rogério Luís de C. Costa, Enrico Miranda, Paulo Dias, José Manuel Moreira · 2020
Spatio-temporal data may be used to represent the evolution of real world objects and phenomena. Such data can be represented in discrete time, which associates spatial information (like position and shape) to time instants, or in continuous time, in which the representation of the evolution of the phenomena is decomposed into slices and interpolation functions are used to estimate the intermediate position and shape at any time. The use of a discrete model may seem more straightforward but a continuous representation provides potential gains in terms of data management, including in compression and spatio-temporal operations.