Geostatistics for Environmental Scientists

DOI10.1002/9780470517277zbMath1122.62099OpenAlexW4229562638MaRDI QIDQ5421917

Margaret A. Oliver, Richard Webster

Publication date: 25 October 2007

Full work available at URL: http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470028580.html

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to geophysics (86-01) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Geostatistics (86A32) Research exposition (monographs, survey articles) pertaining to geophysics (86-02)

Related Items (23)

Spatial prediction in the presence of left-censoring ⋮ High-order statistics of spatial random fields: Exploring spatial cumulants for modeling complex non-Gaussian and non-linear phenomena ⋮ Flexible and efficient estimating equations for variogram estimation ⋮ Model-based geostatistics from a Bayesian perspective: investigating area-to-point Kriging with small data sets ⋮ Neural spline flow multi-constraint NURBS method for three-dimensional automatic geological modeling with multiple constraints ⋮ Discrimination of tomato plants under different irrigation regimes: analysis of hyperspectral sensor data ⋮ Multi-objective optimization of spatial sampling using a new hybrid AMOSA\_NSGA-II algorithm ⋮ Reducing the uncertainty of wildlife population abundance: model‐based versus design‐based estimates ⋮ A competitive design‐based spatial predictor ⋮ Matrix-valued isotropic covariance functions with local extrema ⋮ Variogram or semivariogram? variance or semivariance? allan variance or introducing a new term? ⋮ A regularized single-phase lattice Boltzmann method for free-surface flows ⋮ Comparison of machine learning methods for copper ore grade estimation ⋮ Towards geostatistical learning for the geosciences: a case study in improving the spatial awareness of spectral clustering ⋮ A spatial covariance model with a single wave effect and a finite range ⋮ A geostatistical methodology to evaluate the performance of groundwater quality monitoring networks using a vulnerability index ⋮ Comparison of Kriging and artificial neural network models for the prediction of spatial data ⋮ Directional wavelets and a wavelet variogram for two-dimensional data ⋮ Wavelet transforms applied to irregularly sampled soil data ⋮ Variogram model selection ⋮ Hybrid MLP-IDW approach based on nearest neighbor for spatial prediction ⋮ Adaptive Uncertainty Quantification for Computational Fluid Dynamics ⋮ Influence diagnostics in elliptical spatial linear models

Uses Software

• VARIOWIN

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