A non-stationary spatial approach to disjunctive kriging in reserve estimation

Regional variation of alanine aminotransferase serum levels in the People's Republic of China

“…Therefore, Kriging interpolation (Rathbun, 2012) should be selected. The geographical ALT distribution in healthy adults was mapped by disjunctive Kriging (Thakur et al, 2016) using the statistical analysis module ArcGIS, v 10.2.…”

A dynamic sample augmentation Kriging metamodeling method for industrial residue hydrogenation process

“…14,15 Therefore, it has been widely used in engineering design and optimization. In addition, some extensions such as co-Kriging, 16,17 gradientenhanced Kriging, 18 and nonstationary Kriging 19 have been researched and achieved better approximation accuracy.…”

Review of Matheron’s Kriging Method and its Application at the Estimation of Mineral Deposits

“…One of these phenomena is the presence of mineral deposits, which implies the applicability of conventional interpolation methods such as the inverse distance method and ordinary Kriging [21], which has the virtue of considering the geometric anisotropy of mineral deposits tracing empirical variograms in different directions [6] [12]. Some spatial estimates determine the conditional probability of the mineral ore grades in mining blocks, being able to validate these disjunctive models and estimate the reserves of these deposits [5]. There are mineral deposits in many regions of the earth, whose resources have a holistic biased distribution and require the application of linear or non-linear estimation methods to be estimated [7] [13]; The presence of the Andes mountains range throughout the Peruvian national territory constitutes our main source of mineral resources and at the same time the main reason to study estimation methods, mainly those that are based on the Kriging method, as is the case of the Multi-Gaussian Kriging that indicates the presence of weak, medium and strongly mineralized zones through the use of fractal concentrationvolume models according to variances comparisons and the optimal values for the estimation of enriched mineralization [8].…”

“…There are mineral deposits in many regions of the earth, whose resources have a holistic biased distribution and require the application of linear or non-linear estimation methods to be estimated [7] [13]; The presence of the Andes mountains range throughout the Peruvian national territory constitutes our main source of mineral resources and at the same time the main reason to study estimation methods, mainly those that are based on the Kriging method, as is the case of the Multi-Gaussian Kriging that indicates the presence of weak, medium and strongly mineralized zones through the use of fractal concentrationvolume models according to variances comparisons and the optimal values for the estimation of enriched mineralization [8]. Geological characteristics such as the spatial continuity of mineral ore grades are included in the assumption of conventional stationarity, including its practical application to estimate the recoverable local reserves of mineral deposits [14]. Referred to the development of geostatistics are related definitions and propositions of mathematics such as functional analysis and measurement theory, as well as descriptive statistics.…”