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Ordinary Cokriging applied to generate intensity-duration-frequency equations for Rio Grande do Sul State, Brazil
For natural resource management and conservation, understanding and quantifying the spatiotemporal behavior of rainfall is of paramount importance....
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Evaluation of heavy metal contamination using cokriging geostatistical method (case study of Abteymour oilfield in southern Iran)
One of the most significant sources of soil contamination is the industries involved in the discovery, extraction, and use of petroleum and gas...
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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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Delineation of groundwater potential zones using cokriging and weighted overlay techniques in the Assin Municipalities of Ghana
This study has employed cokriging and weighted overlay techniques in a GIS environment to delineate groundwater potential zones from hydrogeological...
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A Hybrid Estimation Technique Using Elliptical Radial Basis Neural Networks and Cokriging
Mineral resource estimation is an integral part of making informed decisions while evaluating a mining operation’s feasibility. Geostatistical tools...
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Spatial interpolation of highly skewed data of the Junggar Basin phreatic groundwater through the multi-scale cokriging model
In groundwater studies, highly skewed data that are not conducive to kriging interpolation are very common. In this work, the total dissolved solids...
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Missing Rainfall Daily Data: A Comparison Among Gap-Filling Approaches
Missing data is a frequent problem in meteorological and hydrological temporal observation data sets. Finding effective solutions to this problem is...
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A three-variables cokriging method to estimate bare-surface soil moisture using multi-temporal, VV-polarization synthetic-aperture radar data
A cokriging model using three variables is developed to estimate bare-surface soil moisture content based on multi-temporal synthetic-aperture radar...
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Spatial prediction and modeling of soil salinity using simple cokriging, artificial neural networks, and support vector machines in El Outaya plain, Biskra, southeastern Algeria
Soil salinization is one of the most predominant environmental hazards responsible for agricultural land degradation, especially in the arid and...
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Ordinary kriging - and cokriging - based surrogate model for ionospheric TEC prediction using NavIC/GPS data
The ionospheric total electron content (TEC) plays a major role in the estimation of positional accuracy of satellite-based navigation systems. TEC...
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Mineral Resources Evaluation in Narrow Deposits: A Case Study on a Layered Bauxite Deposit
Although narrow deposits hold economic and environmental importance, the assessment of their mineral resources with kriging is often challenging due...
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Three-dimensional velocity structure models in and around the Kathmandu Valley, Central Nepal
We analyzed observations of microtremors and seismic ground motion to determine the depths of sedimentary interfaces and basement surface in the...
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Improving the resource modeling results using auxiliary variables in estimation and simulation methods
Mineral resource modeling is always accompanied by challenges. It is pivotal to increase accuracy and reduce modeling errors in resource modeling....
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Multivariate Cross-Validation and Measures of Accuracy and Precision
Cross-validation and performance measures are standard components in the evaluation of a geostatistical model. These are well established in the...
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Spatial Uncertainty in Pore Pressure Models at the Brazilian Continental Margin
Accurate pore pressure models in wells are essential for ensuring the lowest cost and operational safety during exploration/development projects....
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To allocate cultivable crops via a new multivariate statistical approach assessing spatial distribution of groundwater quality parameters
Due to the correlation between water qualitative indices, their spatial variations are commonly estimated using semivariogram expressed methods, such...
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Integrated Use of Hyperspectral Remote Sensing and Geostatistics in Spatial Prediction of Soil Organic Carbon Content
Estimation of spatial variability of soil organic carbon (SOC) content is important for agricultural management and environmental studies. In this...
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Spatial Interpolation for the Distribution of Groundwater Level in an Area of Complex Geology Using Widely Available GIS Tools
The present study is an attempt to implement several spatial interpolation methods for the distribution of groundwater level in a wider area with...
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Spatial analysis of seasonal precipitation using various interpolation methods in the Euphrates basin, Turkey
It is vital to accurately map the spatial distribution of precipitation, which is widely used in many fields such as hydrology, climatology,...
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Fast prediction of aquifer thermal energy storage: a multicyclic metamodelling procedure
The metamodel-based approach (also referred to as the surrogate approach) is commonly applied to overcome the computational burden of numerical...