Sentence examples for multivariate geostatistical approaches from inspiring English sources

The univariate and multivariate geostatistical approaches provided results and performances quite similar.

Multivariate geostatistical approaches were applied to relate the spatial patterns of the different soil organic matter species to topographic parameters, bulk density, oxalate- and dithionite-extractable iron, pH, and the impact of tree distribution.

This covariation can be modelled using a multivariate geostatistical approach, namely, the linear model of coregionalisation (LMCR), which deals with data on two (or more) correlated variables that together exhibit spatial correlation.

Intra-plot variability was described with multivariate geostatistical models.

Characterizing the distribution of primary and secondary variables requires multivariate geostatistical techniques.

In this work, we propose two algorithms based on adaptations of classical algorithms to multivariate geostatistical data.

Remote sensing, in combination with multivariate geostatistical methods, has the potential to improve the prediction of soil properties at landscape scales.

We compared Random Forest and three geostatistical approaches for the interpolation of SOC in unsampled locations.

In this area, facies models were constructed using both traditional geostatistical approaches and the newly developed hybrid methodology.

Previous studies to tackle this problem include multi-stage approaches and point-data-based 3-dimensional geostatistical approaches.

The aim of this study was to verify the significance of land use on nitrate availability (NO3 N) at landscape scale in two different sites by using multivariate geostatistical methods.