We propose here an interpolation method based on a decomposition of the data in largeand small-scale variation. This decomposition was performed using a two-way directional decomposition, similar to the decomposition used by Cressie in his median-polish kriging (1993), though we applied decomposition by means instead of medians. We considered the effects isolated by the decomposition as associa...

When modelling a large area, models that can take into a count the variation from the general mean in small sub-areas could perform better in prediction than a general model fitted to entire dataset. One method for adjusting the large-area models for such variation is kriging, in which the predictions are corrected with the aid of neighbouring observations. A variogram represents the spatial co...

Analysis of variogram is a necessary step in 3D stochastic modeling, and different settings variograms can directly affect the final distribution model attribute. How to optimize setting parameters by unit facies type has become key geological modeling. This article focuses on reservoir within sedimentary background fluvial-deltas layer SII7+8 which develops multiple microfacies, such as fluvia...

Sequential Gaussian simulation (sgsim) and sequential indicator simulation (sisim) have emerged as powerful tools for stochastic imaging of Earth Science phenomena and are currently widely accepted fast simulation algorithms. In this paper, we will expand the sequential simulation toolbox by relying on a recent development in geostatistical theory (Journel, 1994) denoted as direct sequential si...

BACKGROUND Assessing heterogeneity in lung images can be an important diagnosis tool. We present a novel and objective method for assessing lung damage in a rat model of emphysema. We combined a three-dimensional (3D) computer graphics method-octree decomposition-with a geostatistics-based approach for assessing spatial relationships-the variogram-to evaluate disease in 3D computed tomography (...

The monitoring of earth surface dynamic processes at a global scale requires high temporal frequency remote sensing observations which are provided up to now by moderate spatial resolution sensors. However, the spatial heterogeneity within the moderate spatial resolution pixel biases non-linear estimation processes of land surface variables from remote sensing data. To limit its influence on th...

OBJECTIVES To determine the geographical distribution of cases of systemic lupus erythematosus (SLE) in a defined geographical area in the East Midlands, UK, and, in particular, to search for spatial variation in cases that may implicate the role of environmental factors in SLE aetiology. METHODS Six methods of case ascertainment were used. The postcode of the patient's domicile at time of fi...