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Regularisation and Deregularisation of Covariances and Variograms for Univariate Random Functions in One-dimensional Space
The regularisation on a segment of a stationary or intrinsic variogram model is usually expressed as an integral. By introducing an auxiliary...
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Geostatistical analysis of groundwater levels in a mining area with three active mines
Mining activities can significantly impact groundwater reservoirs in their vicinity. Different approaches have been employed, with varying success,...
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Development of a 3D variogram using the analytical geometry of the plane and space: application in Nkout Center iron deposit (South Cameroon)
This paper contributes to improve the knowledge of the continuity of an ore body in order to optimize its estimation, both qualitative and...
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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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Joint simulation of cross-correlated ore grades and geological domains: an application to mineral resource modeling
Spatial modeling of ore grades is frequently impacted by the local variation in geological domains such as lithological characteristics, rock types,...
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Making kriging consistent with flow equations: application of kriging with numerical covariances for estimating a contamination plume
When the data are few, kriging hydraulic head or concentration with usual variogram models can lead to physically inconsistent results, because the...
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An assessment of irrigation water quality of Kasai River Basin using geo-analytical approach
To maintain soil and plant sustainability, precision agriculture depends mainly on information about evaluating and map** the geographical...
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Geostatistical inversion method based on seismic waveform similarity
Seismic stochastic inversion method has received much attention because of its considerable advantage of having higher vertical resolution than...
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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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Spatial variability of soil properties determined by the interpolation methods in the agricultural lands
Geostatistical methods are widely applied to determine the spatial variability of soil parameters in the unknown points, as their main benefit to...
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Prestack Bayesian Linearized Inversion with Decorrelated Prior Information
The statistical correlation between the three elastic parameters of the P- and S-wave velocities and density is significant for stabilizing the...
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Fundamentals of Geostatistics for Assessing Spatial Variation of Groundwater Resources
The natural resources on the earth seem to be randomly distributed but their variations over space and time are not all random. They exhibit a...
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The spatiotemporal dependencies of terrain indices with soil characteristics in a steep hillslope mountainous area
Determining the spatial variations and the relationship between topography-/terrain-derived variables and soil properties provides an accurate...
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Applications of the Cluster Statistics
This chapter presents a conceptually straightforward treatment of spatial correlations of “random” heterogeneous media, but does not intend to...
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Salinity distribution in agricultural land by geophysical, hydrochemical and geostatistical approaches: a pilot area located in Qelabshowah–Belqas, East Nile Delta region, Egypt
The study area is situated in the Qelabshowah–Belqas region, known for its Quaternary deposits. This research aims to demonstrate the two-dimensional...
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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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Comparison of approaches to spatiotemporally interpolate land surface air temperature for the Qinghai–Tibet Plateau
The Qinghai–Tibet Plateau has complex geomorphic features, which makes it difficult to interpolate surface air temperature precisely because of...
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Importance of Parameter Uncertainty in the Modeling of Geological Variables
Quantitative modeling of geological heterogeneity is critical for resource management and decision-making. However, in the early stages of a mining...
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Assessment of changes in regional groundwater levels through spatio-temporal kriging: application to the southern Basin of Mexico aquifer system
A common approach for calculating the spatial distribution of groundwater level changes consists in choosing a set of different times, interpolating...
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