A model for external drift kriging with uncertain covariates applied to air quality measurements and dispersion model output

04-09-2006 | Publication

A method that combines uncertain air quality measurements with uncertain secondary information
from an atmospheric dispersion model, is presented. The method combines external drift kriging and a measurement error (ME) model, and uses Bayesian techniques for inference. An illustration with simulated data shows what can theoretically be expected. The method is flexible for assigning different error variances to both the primary information and secondary information at each location.