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The soil information content of the spectra was summarised using a principal component analysis (PCA).
Using a principal component analysis (PCA), 45 city-level indicators were reduced to 10 factors that explain about 67%% of the variance in the data.
We integrated radiometrically, geometrically and atmospherically corrected multispectral Landsat 8 data in the optical and near-infrared wavelength range using a principal component (PC) representation and made use of a number of topographic products obtained from the USGS EarthExplorer platform.
Using a principal component analysis, they determine that demographic factors explain 61% of the variation in training activity, which would indicate a strong connection between supply and demand during the entire period.
Second, we attempted to segregate self-specific networks using a principal component analysis (PCA), assuming an independent pattern of inter-subject variability in activation over the four stimulus conditions in each network.
We first assessed chip-to-chip data variability and quality using a principal component analysis (PCA) (Fig. 2).
First, single-subject fMRI data were reduced to a lower temporal dimensionality by using a principal component analysis.
Here, envelopes of postures are constructed using a principal component analysis (PCA) to find the skeleton's principal axis and orientation at each instant in time.
Further analysis of the relative contribution of the individual genes to the sample separation was performed using a principal component analysis (Figure 2).
To take into account multiple testing in the fine mapping step, the nominal significance threshold of P = 0.05 was corrected by finding the number of independent SNPs, using a Principal Component Analysis of the SNPs correlation matrix [58].
Finally, we reduced the number of cranial and beak traits of the three sympatric seed eating forest birds co-occurring in Tenerife (i.e. C. aurelioi, F. teydea and F. coelebs) using a Principal Component Analyses (PCA).
More suggestions(15)
using a crucial component
using a simple component
using a typical component
using a blind component
using a centralized component
using a principal axis
using a new component
using a principal factor
using a single component
using a hierarchical component
using a novel component
using a micromechanical component
using a randomized component
using a specific component
using a natural component
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