"sparsely located" is correct and usable in written English.
You can use it to describe any situation where things or people are spread out with a lot of space in between. For example, "The houses were sparsely located on the outskirts of town."
But, as they are sparsely located in a certain area and PUs' activities vary with location, it is likely that a channel available to an SU at one location might not be available to an SU at another location [3, 4].
However, the IS_g approach outperforms the others in the dry and sparsely located catchments, and it overcomes the unnatural tessellated effect obtained from the SP_g approach.
Long term satellite precipitation data was used for analyzing the precipitation climatology as in situ stations are sparsely located in this region.
Treatment itself is available at a few sparsely located health centres and even then the availability of the drugs is interrupted during periods of limited stock, with the larger cities getting priority.
This paper aims to address this challenge by presenting a stochastic geological modeling framework for uncertainty quantification of stratigraphic profiles using sparsely located observation information from geotechnical site investigations.
They are scarce, sparsely located in the hypothalamus and interspersed with other neuronal and glial cells.
For different subband l, l=1,⋯,L, the elements of (tilde {boldsymbol {b}}_{[l]}) take different values but all L vectors have a common support corresponding to the K sources which sparsely locate in the spatial domain.
And the samples of the autocorrelation can be computed at any specified rate, although the samples from this nested sparse sampling are sparsely and nonuniformly located.
Tree vegetation of Morrone is broadly classified into five prominent forest types and named after the dominant species located sparsely or contiguously in different altitudinal levels.
As discussed above in terms of read mapping, genetic differences between the isolates can only be identified if they are sparsely distributed and located close to conserved regions that can anchor the mapped reads.
And although the samples from this nested sparse sampling are sparsely and non-uniformly located, the samples of the autocorrelation can be computed at any specified rate.
