The article explores how using the wrong covariance structure in kriging predictions can lead to less accurate results. By studying the impact of incorrect models, the researchers found that using an isotropic model instead of a geometric anisotropy model can significantly increase prediction errors. This highlights the importance of accurately estimating covariance functions for optimal kriging predictions.