Sentence examples for means and spatial from inspiring English sources

The preconditioned initial ensemble exhibits a smaller spread as well as improved means and spatial patterns.

This means that both spatial means and spatial variability should be considered for optimizing sampling strategy for gullied topography.

In this study, we used three geostatistical approaches (Getis-Ord Gi*, K means, and spatial regression) to assess the spatial patterns of traffic emissions for all 5570 municipal districts in Brazil.

Underlying questions that are central to field studies of the groundwater surface water interaction are the extent of error in means and spatial distributions of streambed attributes such as groundwater seepage rate or solute flux, and the relation of this error to the number and location of point measurements.

Based on the best estimated ¯θg and the quantitative relationship between spatial means and spatial variability of soil moisture in gullies, we were able to obtain the estimates of spatial soil moisture variability (standard deviation and coefficient of variation) with a certain level of accuracy (R2 from 0.300 to 0.625) in gullies at each depth.

However, in the current analysis, the spatial dimension has been reduced and time series of the spatial minima, spatial mean and spatial maxima respectively have been analyzed for temporal trends.

We show that the EnKF can adequately estimate both the mean and spatial patterns of hydraulic conductivity when assimilating daily values of hydraulic heads from a highly variable initial sample.

(B and C ) Show enhanced vegetation index (EVI) values (mean and spatial range respectively) on a scale from 0 to 1. (D – G ) Display land surface temperature (LST) (mean and spatial range for day and night respectively) measured in degrees Celsius.

GLM assumes a linearly additive relationship between expected means and all spatial covariates.

In this article we analyze the mean field and spatial dynamics of two small, asymmetric hypercycles with short-circuits.

Meanwhile, the numerous image data will be objectively assessed and compared from several aspects such as information entropy, mutual information, the mean grads, and spatial frequency.