Non-stationary geostatistical modeling based on distance weighted statistics and distributions

DOI10.1007/s11004-012-9428-zzbMath1321.86025OpenAlexW2050583385MaRDI QIDQ500711

David F. Machuca-Mory, Clayton V. Deutsch

Publication date: 5 October 2015

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

Full work available at URL: https://doi.org/10.1007/s11004-012-9428-z

zbMATH Keywords

Gaussian kernellocal statisticsspatial estimationmulti-Gaussian Krigingweighted variograms

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Geostatistics (86A32)

Related Items (3)

A new non-stationary high-order spatial sequential simulation method ⋮ A new type of conditioning of stationary fields and its application to the spectral simulation approach in geostatistics ⋮ Multivariate spatial outlier detection using robust geographically weighted methods

Uses Software

• GSLIB
• VARFIT

Cites Work

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• Generalized sequential Gaussian simulation on group size \(\nu\) and screen-effect approximations for large field simulations
• Estimating variogram uncertainty
• All of Nonparametric Statistics
• Spatial continuity measures for probabilistic and deterministic geostatistics
• To be or not be\(\ldots\)stationary? That is the question
• Spatial declustering weights

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