Sentence examples for morphometric classification of from inspiring English sources

The D d and F s are the most useful criterion for the morphometric classification of drainage basins that certainly control the runoff pattern, sediment yield, and other hydrological parameters of the drainage basin.

Stream frequency and drainage density is the prime criterion for the morphometric classification of drainage basins, which certainly control the runoff pattern, sediment yield, and other hydrological parameters of the drainage basin.

This paper reports results of employing a fuzzy c-means classification for a sample DEM from Snowdonia, Wales, with a number of morphometric measures at different resolutions as input, and morphometric classification of landforms at each resolution as output.

Examination of the scale dependency and behaviour of morphometric classifications of landforms at different resolutions provides a fuller and more holistic view of the classes present than a single-scale analysis.

Clustering procedures using the sperm kinematic and morphometric data resulted in the classification of spermatozoa into three kinematic and three morphometric sperm subpopulations.

In addition to the morphometric parameters related to relief characteristics, classification of terrain into various geomorphic classes (or landforms) was carried out.

Linear Discriminant Analyses (LDA) almost completely matched manual morphotype identifications based on geometric morphometric analyses of unidentified specimens and showed high correspondence with a priori classification of reference museum samples.

Glaucoma was diagnosed and classified on the basis of clinical characteristics (slit-lamp examination, gonioscopy, intraocular pressure (IOP) increase, pachymetry, perimetric test and optic nerve morphometric or nerve fiber layer analysis with GDx or HRT) according to the classification of Shields, Ritch and Krupin [48].

The approach combines the classification of a post-event multispectral satellite image with information on the morphometric signature of landslides in a Bayesian framework.

Cell-D software (Olympus Soft Imagine Solutions GmbH) was used for morphometric computer-assisted quantification of lesion number, lesion area and lesion severity according to the classification of the American Heart Association as established [12].

Objective classification of neurons requires standardized brain slice imaging and neuron reconstruction protocols, and a common set of morphometric features for the consistent quantifying of cell morphologies.