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Nested Augmentation of Rainfall Monitoring Network: Proposing a Hybrid Implementation of Block Kriging and Entropy Theory
One of the most influential environmental variables is rainfall which has significant effect on water resources management, agricultural development,...
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Spatial Interpolation Using Machine Learning: From Patterns and Regularities to Block Models
In geospatial data interpolation, as in map**, mineral resource estimation, modeling and numerical modeling in geosciences, kriging has been a...
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The Many Forms of Co-kriging: A Diversity of Multivariate Spatial Estimators
In this expository review paper, we show that co-kriging, a widely used geostatistical multivariate optimal linear estimator, has a diverse range of...
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Simulated Block Variance for 3D Drillhole Infill
Drillhole infill has an important role in the mining industry, especially when its aim is to enhance the assessment of variance representativeness of...
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Evaluation of water-level trends in the Mimbres Basin, southwest New Mexico (USA), using spatiotemporal kriging
Groundwater-level trends over the past 40 years in the Mimbres Basin of southwest New Mexico (USA) were characterized with sequential water-level...
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Modeling Geospatial Uncertainty of Geometallurgical Variables with Bayesian Models and Hilbert–Kriging
In mine planning, geospatial estimates of variables such as comminution indexes and metallurgical recovery are extremely important to locate blocks...
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Properties and Comparison of Some Kriging Sub-model Aggregation Methods
Kriging is a widely employed technique across computer experiments, machine learning and geostatistics. An important challenge for kriging is its...
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Combination of Machine Learning and Kriging for Spatial Estimation of Geological Attributes
A growing number of studies in the spatial estimation of geological features use machine learning (ML) models, as these models promise to provide...
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Probability Transform of Kriging Estimates and Its Effects on Selection Bias and Conditional Bias
This study shows the benefits of doing a probability transform of kriging estimates, into the sample data distribution, to improve the selection of...
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Sequential design strategy for kriging and cokriging-based machine learning in the context of reservoir history-matching
Numerical models representing geological reservoirs can be used to forecast production and help engineers to design optimal development plans. These...
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Uncertainty Analysis of Thermodynamic Variables of Fluid Inclusions: A Deposit-Scale Spatial Exploratory Data Modeling through Fuzzy Kriging
Studies of data obtained from fluid inclusions have focused on two fields, namely: (1) improvement of analytical and experimental study methods; and...
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Integration of Machine Learning Algorithms with Gompertz Curves and Kriging to Estimate Resources in Gold Deposits
Resource estimation on gold (Au) deposits usually requires costly Au assays and is often characterized by high degree of uncertainty especially in...
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Uncertainty Assessment over any Volume without Simulation: Revisiting Multi-Gaussian Kriging
Assessing spatial uncertainty over an arbitrary volume is usually done by generating multiple simulations of the random function and averaging the...
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Estimating the iron grade and separating the mineralization areas using fractal concentration-volume fractal model: a case study of Bafgh Lakeh Siah orebody, Central Iran
Grade estimation is a vital issue in ore reserve evaluation extensively investigated by data mining methods. There are significant relationships...
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Groundwater hydrochemistry and consumption patterns in Chandwara community development block of Jharkhand state in India
Groundwater quality in rural Chandwara block in Jharkhand State in India is crucial to human livelihood in the region. A study undertaken to examine...
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Classification of reserve in Sungun mine based on Archimedean copulas estimates
Incorrect estimation of grade values is a major problem in the Sungun copper mine of Iran that the kriging estimates and blast hole data show...
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Three-dimensional Subsurface Modeling and Classification of Mineral Reserve: A Case Study of the C-North Iron Skarn Ore Reserve, Sangan, NE Iran
Most mining activities depend on the grade and tonnage of ore reserves; therefore, it is significant to know the validity of estimating the grade and...
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On the drawback of local detrending in universal kriging in conditions of heterogeneously spaced regional TEC data, low-order trends and outlier occurrences
The study intercompares three stochastic interpolation methods originating from the same geostatistical family: least-squares collocation (LSC) known...
