A model for external drift kriging with uncertain covariates applied to air quality measurements and dispersion model output
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
Specifications
- Publication title
- A model for external drift kriging with uncertain covariates applied to air quality measurements and dispersion model output
- Publication date
- 4 September 2006
- Publication type
- Publication
- Magazine
- Environmetrics 2006; 17:309-22
- Product number
- 91813