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.
Authors
Kassteele J van de ; Stein A
Date
4 September 2006
Publication
Environmetrics 2006; 17:309-22