A robust test for isotropy in 2D lattice data is introduced using robust variogram estimators and block permutation resampling to control significance levels under strong dependence and outliers.
European Journal of Soil Science 51:137--157
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Framework using potential outcomes and within-treatment regression models to estimate plot-level SOC sequestration potentials from covariates and approximate optimal policies, demonstrated on California rangeland data where targeting low-baseline-SOC plots improves outcomes over uniform policies.
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A robust nonparametric test for spatial isotropy in lattice data
A robust test for isotropy in 2D lattice data is introduced using robust variogram estimators and block permutation resampling to control significance levels under strong dependence and outliers.
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Estimating soil carbon sequestration potential and approximating optimal management policies
Framework using potential outcomes and within-treatment regression models to estimate plot-level SOC sequestration potentials from covariates and approximate optimal policies, demonstrated on California rangeland data where targeting low-baseline-SOC plots improves outcomes over uniform policies.