  In this article, on the basis of the Langevin equation applied to velocity
fluctuations, we numerically model the Partial Variance of Increments, which is
a useful tool to measure time and spatial correlations in space plasmas. We
consider a Coupled Map Lattice model to relate the spatial scale of
fluctuations, $k$, to some macro parameters of the systems, as the Reynolds
number, $R_\lambda$, the $\kappa$ parameter of Kappa distributions, and a
skewness parameter, $\delta$. To do so, we compute the Velocity Probability
Density Function (PDF) for each spatial scale and different values of Reynolds
number in the simulations. We fit the PDF with a Skew-Kappa distribution, and
we obtain a numerical relationship between the level of turbulence of the
plasma and the skewness of obtained distributions; namely $\langle \delta
\rangle \sim R_\lambda^{-1/2}$. We expect the results exposed in this paper to
be useful as a tool to characterize the turbulence in the context of space
plasma and other environments.
