Validation of Bayesian kriging of arsenic, chromium, lead, and mercury surface soil concentrations based on internode sampling.

ABSTRACT: Bayesian kriging is a useful tool for estimating spatial distributions of metals; however, estimates are generally only verified statistically. In this study surface soil samples were collected on a uniform grid and analyzed for As, Cr, Pb, and Hg. The data were interpolated at individual locations by Bayesian kriging. Estimates were validated using a leave-one-out cross validation (LOOCV) statistical method which compared the measured and LOOCV predicted values. Validation also was carried out using additional field sampling of soil metal concentrations at points between original sampling locations, which were compared to kriging prediction distributions. LOOCV results suggest that Bayesian kriging was a good predictor of metal concentrations. When measured internode metal concentrations

SUBMITTER: Aelion CM 

PROVIDER: S-EPMC2755059 | biostudies-literature | 2009 Jun

REPOSITORIES: biostudies-literature