Assessing the estimation of nearly singular covariance matrices for modeling spatial variables

Spatial analysis commonly relies on the estimation of a covariance matrix associated with a random field. This estimation strongly impacts the prediction where the process has not been observed, which in turn influences the construction of more sophistica