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A spatial split is the division of weather areas.
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The analysis is conducted according to a spatial split-sample test.
A spatial split-sample test and sensitivity analysis served to evaluate the prediction performance and the identifiability of the model parameters.
The spatial split-sample test showed that the semi-distributed model provided reliable predictions but prediction performance and parameter identifiability decreased from the first towards the last aquifer section, most probably due to increased aquifer complexity and propagation of uncertainty from the up-gradient model section.
Due to the temporal and spatial variations of weather factors, temporal and spatial splits are needed.
The split-attention principle focuses on replacing multiple sources of information, distributed either in space (spatial split-attention) or time (temporal split-attention), with one integrated source of information [ 17].
2D and 3D results are obtained without spatial operator splitting.
The recordings of the database were performed for different spatial directions, splitting the space in 50 elevation angles and 25 azimuthal angles, having a total of 1,250 source directions.
An OFDM modulator, for each spatial stream, splits the overall frequency band (20 MHz) in N f = 64 sub-bands (tones), out of which Ndc = 52 are data carriers.
We show a spatial distribution of splitting parameters from each event at each station in Figure 4.
Extensive testing of the method has been carried out to find the optimum balance among errors associated with time integration, spatial discretization, and splitting.
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