Sentence examples for using the spatial prediction from inspiring English sources

Using the spatial prediction functions, peat depth maps along with their 90% confidence interval were generated.

The results of cross-validation show the smoothing effect of the spatial prediction map using RMSE value.

Using ordinary kriging, we spatialised the residuals generated by the spatial prediction methods for the correction of trends in the estimates and more detailing of the spatial behaviour of basal area and volume.

The residuals of the spatial prediction methods that had defined spatial dependence structures (Fig. 4) were interpolated using ordinary kriging, and their estimates were added to basal area and volume estimates of the respective spatial prediction methods.

The spatial prediction model is dependent upon the provided inferred network for how well it can predict spatial patterns.

A DFT-based implementation of this technique has also been proposed [13,14], but in this case, the algorithm has been restricted to use only spatial prediction.

In the geostatistical literature, model 1, with these specifications, is known as a universal kriging model commonly used for spatial prediction at unobserved or unmeasured locations (Cressie 1991).

For each candidate model, we computed Akaike's Information Criterion for small sample size (AICc), Delta AIC (ΔAIC) and Akaike Weights (w i ), and an average model where the parameter estimates were calculated as an average of all candidate models weighted by each w i, which was then used for spatial prediction.

Based on the variogram model, several kriging methods can be used for spatial predictions which finally are mapped [12].

Direct measurements of PWP are time-consuming and expensive; therefore, the aim of this study was to evaluate how environmental variables could be used in spatial predictions of PWP in an arid and semi-arid region based on boosted regression tree (BRT) and multiple linear stepwise regression (MLSR) analyses.

The regression relationships are then used to make spatial predictions of the response.