Sentence examples for key gradients from inspiring English sources

A data acquisition system similar to the ones used in motor racing allows his team to gauge his speeds on key gradients along the way, as well as his heart rate.

A color key gradient describing the conservation is shown below, with purple denoting highest and cyan denoting lowest conservation.

Breakthroughs have helped transform the dialog between ecology and remote sensing, generating new regional perspectives on key environmental gradients and species assemblages with ecologically relevant measures such as canopy nutrient and moisture content, crown area, leaf-level drought responses, woody tissue and surface litter abundance, phenological patterns, and land-cover transitions.

Ellenberg et al. [44] ranked most of the plant taxa of Central Europe according to their occurrence optimum along key environmental gradients for plants (L, light; T, temperature; K, continentality; F, soil moisture; R, soil pH; N, soil fertility; henceforth termed Ellenberg's indicator factors) using an ordinal scale ranging from 1 (lowest) to 9 (highest) in terrestrial environments.

Key points Social gradients were steep for suicide, psychiatric disability and psychiatric sickness absence, and indirect selection from early life factors could explain a substantial part of these social inequalities.

Determining orientation of key points: Using gradient-orientation histogram, each key point is assigned with an orientation at the highest gradient, thus determining main orientations of key points.

Sensitivity analysis plays a key role in gradient-based shape optimization.

A key step in gradient-based aerodynamic shape optimisation using the Reynolds-averaged Navier Stokes equations is to compute the adjoint solution.

Describing key points: Calculating local gradients of the image, a symbol is used to represent each gradient.

Describing key points: Calculating local gradients of the image, a symbol is used to represent each gradient.  .

The calculation of the gradient of the cost function is a key point when a gradient based method is used.