With the complicated geology of vein deposits, their irregular and extremely skewed grade distribution, confined nature gold, there is a propensity to overestimate or underestimate ore grade. As result, numerous estimation approaches for mineral resources have been developed. It was investigated in this study by using five machine learning algorithms estimate highly gold data vein-type at Quart...

A. 2003. Comparison of krig-ing with external drift and regression-kriging. A generic framework for spatial prediction of soil variables based on regression-kriging. In further text, theory behind kriging with external drift and regression-kriging and differences between them are explained in more detail. We focus mainly on practical issues, i.e. how to derive predictions and prediction uncerta...

Environment pollution is a major problem in developing countries these days. Air pollution in particularis a cause of many diseases.In the present study an attempt has been made to map the pollution areas of Agra and predict the pollution at unsampled location.For this thirty places of Agra are selected for collectingair samples.Geographic Information System (GIS) and Kriging (Ordinary Kriging)...

In Precision Viticulture, the increasing number of information sources calls for methods to combine them and to generate information for professionals. Each data is located on its own geographical support, and geostatistics are mostly used to produce estimates on a common grid. Estimated values have to be associated with confidence intervals; using kriging variance to compute them is generally ...

There are close connections between several seemingly different topics; Kriging; radial basis function (RBF) interpolations, spline interpolations and the solutions of Partial Differential Equations (PDEs). Consequently, these techniques can produce families of identical interpolations. More interestingly, the connection with PDE solution methods allows the calculation of some Kriging interpola...

In this study, two techniques for spatio-temporal (ST) kriging of soil water content are compared. The first technique, spatio-temporal ordinary kriging, is the simplest of the two, and uses only information about soil water content. The second technique, spatio-temporal kriging with external drift, uses also the relationship between soil water content and net-precipitation to aid the interpola...

The relationship between exposure to environmental chemicals during pregnancy and early childhood development is an important issue that has a spatial risk component. In this context, we have examined mental retardation and developmental delay (MRDD) outcome measures for children in a Medicaid population in South Carolina and sampled measures of soil chemistry (e.g. As, Hg, etc.) on a network o...

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...