Sentence examples for distance lag from inspiring English sources

We introduce a simple characteristic based on spatial correlograms: a half-value distance lag, hI = 0.5 a distance where Moran's I drops below 0.5.

We use a simple characteristic based on correlograms: a half-value distance lag, hI = 0.5, a distance where Moran's I equals 0.5.

The 40-m distance (lag) was measured in different directions, depending upon the strategy used to design a particular monitoring network.

The results indicate that with increasing residual oil saturation the peak of the product tracer shifts to the left, and consequently the separation distance (lag between the reacting and product tracer) increases.

The main idea behind kriging is that the predicted outputs are weighted average of sample data, and the weights are determined in such a way that they are unique to each predicted point and a function of the separation distance (lag) between the observed location and the location to be predicted.

Interestingly, we find the lags to be similar to those of the separate spatial and temporal patterns of poultry, both close to the 300-km distance lag and covering the 55-day time lag.

A plot of the calculated semi-variance values against the distance (lags) is known as a semi-variogram.

At all distance lags, the number of hot spots detected is higher for constrained compared with unconstrained neighbourhoods (Figure 3).

Because correlograms of Moran's I at various distance lags and the resulting correlogram [69] showed no evidence of spatial dependence among observations we did not take into account any spatial autocovariate in the models.

The main subject regarding any geostatistical method is the evaluation of spatial correlations, through parametric classes of covariance and variogram functions, which present the spatial regression among a dataset based on the spatial variability of couple of points at the specific spatial distances (lags) (Barca et al. 2017).

The Fourier filtering procedure generates Gaussian stochastic fields from a "Gaussian" cross-correlation matrix, which is a function of a pair of heights and the horizontal distance (or "lag").