Sentence examples for multivariate regression tree from inspiring English sources

A multivariate regression tree was used to analyze differences in floristic composition between mosaics and land uses.

A Multivariate Regression Tree revealed that fire severity and the overall (pre-fire) amount of mixed-wood forest on the landscape were significant determinants of assemblage structure, with the local effects of fire severity being strongest.

Multivariate regression tree analysis was able to explain ⩾50% of the variability in soil C and N and as much as 68% of the variability in the C N ratio.

Multivariate regression tree (MRT) of bacterial diversity associated with driving biogeochemical factors.

A multivariate regression tree (MRT) analysis was used to explain the relationship between bacterial diversity and environmental variables in a visualized tree (De'Ath 2002).

The multivariate regression tree is used to obtain a Y × Y matrix, henceforth referred to as the proximity matrix.

Two recursive partitioning tree-based approaches: Classification and Regression Trees (CARTs) and Multivariate Regression Trees (MRTs) were employed to generate predictive models respectively.

Permutational multivariate analysis of variance (PERMANOVA) and multivariate regression trees (MRT) were used to evaluate the effects of reserve protection on the reef fish assemblage, while accounting for habitat.

Ground beetle and spider assemblages from deadwood depleted plots were then compared with those in clearcut plots where no additional biomass had been removed and with uncut stands to assess the incremental effect of overstory removal and subsequent biomass removal using multivariate regression trees.

For the predictive model, we use multivariate regression trees fitted to the latitude and longitude of the population centroid of each tract.

We denote a collection of multivariate regression trees as a MRF and N refers to the number of trees in the forest.