In the present paper, a Kriging-based metamodeling technique is used to minimize the risk of failure in a sheet metal forming process. The Krigingbased models are fitted to data that are obtained for larger experimental areas than the areas used in loworder polynomial regression metamodels. Therefore, computational time and memory requirement can be an obstacle for Kriging for data sets with ma...

We compared (lognormal) universal kriging with the area-based approach for estimation of forest inventory variables using LiDAR data as auxiliary information and showed that could be an accurate alternative when there is spatial autocorrelation. Forest inventories supported by geospatial technologies are essential to achieve a spatially informed assessment structure. technology supplies compreh...

ABSTRACT The metallicity of diffuse ionized gas (DIG) cannot be determined using strong emission line diagnostics, which are calibrated to calculate the H ii regions. Because this, resolved maps from integral field spectroscopy (IFS) data remain largely incomplete. In this paper (the second a series), we introduce geostatistical technique universal kriging, allows complete 2D distribution galax...

BACKGROUND Geostatistical techniques that account for spatially varying population sizes and spatial patterns in the filtering of choropleth maps of cancer mortality were recently developed. Their implementation was facilitated by the initial assumption that all geographical units are the same size and shape, which allowed the use of geographic centroids in semivariogram estimation and kriging....

To quantify the influence of temperature uncertainty on thermal fatigue life prediction a shot sleeve in an injection mechanism, analysis method based Kriging surrogate model and Monte Carlo simulation (MCS) was proposed. The training samples were obtained by finite element simulation, response relationships between input variables, such as pouring preheating temperature, target strain stress, ...

Association studies in environmental statistics often involve exposure and outcome data that are misaligned in space. A common strategy is to employ a spatial model such as universal kriging to predict exposures at locations with outcome data and then estimate a regression parameter of interest using the predicted exposures. This results in measurement error because the predicted exposures do n...

Geostatistics has been successfully used to analyse and characterize the spatial variability of environmental properties. Besides providing estimated values at unsampled locations, geostatistics measures the accuracy of the estimate, which is a significant advantage over traditional methods used to assess pollution. This work uses universal block kriging to model and map t...