Automatic variogram modeling by iterative least squares: univariate and multivariate cases

DOI10.1007/s11004-012-9434-1zbMath1321.86019OpenAlexW2014772157MaRDI QIDQ500735

Didier Renard, Nicolas Desassis

Publication date: 5 October 2015

Published in: Mathematical Geosciences (Search for Journal in Brave)

Full work available at URL: https://hal-mines-paristech.archives-ouvertes.fr/hal-00707887v2/file/HalVersion.pdf

zbMATH Keywords

anisotropyweighted least squaresover-fittinglinear model of coregionalizationautomatic fittingvariogram maps

Mathematics Subject Classification ID

Geostatistics (86A32)

Related Items (5)

A general probabilistic approach for inference of Gaussian model parameters from noisy data of point and volume support ⋮ New validity conditions for the multivariate Matérn coregionalization model, with an application to exploration geochemistry ⋮ Analysing temporal variability in spatial distributions using min-max autocorrelation factors: sardine eggs in the Bay of Biscay ⋮ A geostatistical definition of hotspots for fish spatial distributions ⋮ Inverse modeling of moving average isotropic kernels for non-parametric three-dimensional Gaussian simulation

Uses Software

• Isatis
• VARFIT
• RGeoS
• RGeostats

Cites Work

• Unnamed Item
• Model-based geostatistics.
• Estimation of sill matrices in the linear model of coregionalization
• Interpolation of spatial data. Some theory for kriging
• Asymptotics for REML estimation of spatial covariance parameters
• Geostatistics
• Maximum likelihood estimation of models for residual covariance in spatial regression
• Matrix Analysis
• An Approach to Statistical Spatial-Temporal Modeling of Meteorological Fields

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