Aggressive device scaling has made it imperative to account for process variations in the design flow. A robust model of process variations is an essential requirement for any meaningful variation aware design analysis and optimization. Unfortunately the previous approaches on extracting spatial correlation function assume ergodicity and isotropy while estimating the inter-die(global) component...

This paper applies statistical and geostatistical procedures to a soil chronosequence on the Ž . terraces of the Henares River NE Madrid to analyse the spatial distribution of several soil properties and use the contribution of geostatistics to establishing a landscape evolution model of the area. Particle-size distribution, pH, calcium carbonate and organic carbon were analysed. Statistical pr...

A geostatistical perspective on spatial genetic structure may explain methodological issues of quantifying spatial genetic structure and suggest new approaches to addressing them. We use a variogram approach to (i) derive a spatial partitioning of molecular variance, gene diversity, and genotypic diversity for microsatellite data under the infinite allele model (IAM) and the stepwise mutation m...

The morphology of the joint interface is described using geostatistical parameters such as the sill, range and slope of the initiaI part of the variogram. The methodology is also used to identify the scale effect and to determine the appropriate cutoff length of the sample which is representative for a direct shear test. The anisotropy characteristics of the interface are described using the si...

To enhance the certainty of the grade block model, it is necessary to increase the number of exploratory drillholes and collect more data from the deposit. The inputs of the process of locating these additional drillholes include the variogram model parameters, locations of the samples taken from the initial drillholes, and the geological block model. The uncertainties of these inputs will lead...

In this study, optimum combinations of available rainfall gauging stations are selected by a model which is consist of geo statistics model as an estimator  and an optimized model. At the  first,  watershed  is  approximated  to  several  regular  geometric  shapes.  Then  kriging calculates  the  variance &nbs...

The application of geostatistics to plant nematology was made by evaluating soil and nematode data acquired from 200 soil samples collected from the A(p) horizon of a reed canary-grass field in northern Minnesota. Geostatistical concepts relevant to nematology include semi-variogram modelling, kriging, and change of support calculations. Soil and nematode data generally followed a spherical sem...

Earth science studies deal in general with multivariate, regionalized, observations, which may be compositional, or not. Frequently, it is of interest to know whether those data have to be divided into different populations, a task usually performed by cluster analysis. This problem cannot be studied with traditional methods because samples are not independent. In that case, an extension of War...