Sentence examples for metrics in tree from inspiring English sources

RBS and RAS are metrics in tree space, while SRBS and HS are not.

In addition, the proposed method can be applied to other radio access technologies since the thresholds for the metrics in the classification tree are calculated using percentiles.

However, a combination of the three metrics in a decision tree system yielded the greatest potential for predicting WS outbreak risk.

Future work should also evaluate the suitability of different distance metrics in estimating species trees under different error models and evolutionary scenarios.

Predictions from LiDAR metrics can be used to characterise spatial variation in tree characteristics allowing stratification of within-stand thinning operations.

Willows performed better than poplars in above-ground growth metrics (net tree height, above-ground biomass) and 3-m poles performed the best of the planting types tested (net tree height, above-ground biomass, below-ground biomass, total root length).

Implementation of this, and of a broader range of tree-comparison metrics, in platform-independent software should be a matter of some urgency.

This result is consistent with previous research as most of the variation in tree volume in LiDAR-based models is typically attributable to metrics describing tree-height percentiles using LiDAR (Watt and Watt 2013).

The aim of this analysis is to find a simple model that predicts these metrics for each tree in a stand, given the size and species identity of all trees in the stand.

In the other landscape, forest species richness strongly correlated with changes in tree species composition in the agriculture, a factor that could not be detected by the remote sensing metrics.

The model also predicts much of the variation in these metrics for a tree of a given species and size, resulting solely from deterministic responses to variation in stand structure.