Optimized sample schemes for geostatistical surveys

DOI10.1007/s11004-006-9069-1zbMath1128.86005OpenAlexW2058326012WikidataQ62736446 ScholiaQ62736446MaRDI QIDQ995832

R. M. Lark, B. P. Marchant

Publication date: 10 September 2007

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

Full work available at URL: https://doi.org/10.1007/s11004-006-9069-1

Mathematics Subject Classification ID

Geostatistics (86A32)

Related Items (7)

Model-based geostatistics from a Bayesian perspective: investigating area-to-point Kriging with small data sets ⋮ Multi-objective optimization of spatial sampling using a new hybrid AMOSA\_NSGA-II algorithm ⋮ Sequential Design of Computer Experiments for the Solution of Bayesian Inverse Problems ⋮ Sparse sampling: spatial design for monitoring stream networks ⋮ The value of information in spatial decision making ⋮ Optimizing subsurface field data acquisition using information theory ⋮ Sampling strategies for uncertainty reduction in categorical random fields: formulation, mathematical analysis and application to multiple-point simulations

Uses Software

• GSLIB
• VARIOG2D

Cites Work

• Estimating variogram uncertainty
• Mean squared prediction error in the spatial linear model with estimated covariance parameters
• Variance-covariance matrix of the experimental variogram: Assessing variogram uncertainty
• Estimating the Prediction Mean Squared Error in Gaussian Stochastic Processes with Exponential Correlation Structure
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