Sentence examples for spatially measured from inspiring English sources

Geostatistics science provides a number of methods based on random functions theory, which are frequently used to estimate the value of a spatially measured variable at the unsampled places.

To test if this is the case, we spatially measured myocardial perfusion by arterial spin-labeling MRI.

Furthermore, the actual levels of gossypol, as well as the ratio of the two enantiomers, should be temporally and spatially measured in semigametic ovules and seeds relative to non-semigametic cotton.

Recently, an elegant method to spatially measure separase activation at the single cell level has been developed.

The calibrated fracture properties for the infiltration and seepage zone enabled a good match between simulated and measured (spatially varying) seepage rates.

Current mathematical models would provide the same results for the six case studies presented here (two models by three wind directions), however the measured spatially averaged profiles are quite different from each other.

For practical measurement situations a further analytical function was derived which gives this intensity error as a function of the difference between the measured (spatially averaged) pressure and intensity levels.

The electricity generation profiles of spatially distinct wells measured at multiple time points during 15 hours of operation differed by less than 8%, demonstrating that individual wells of the MFC array displayed comparable performance characteristics.

Residuals from the regression model were found to be randomly spatially distributed as measured by Moran's I statistic (I index 0.08, Z-score 1.13), indicating that an additional term in the model to account for spatial autocorrelation is not needed.

The B1 field of this resonator was measured and spatially mapped by three-dimensional EPR imaging.

Contrary to its importance, WV remains poorly understood and inadequately measured both spatially and temporally, especially in the southern hemisphere, where meteorological data are sparse.