Ordinary kriging offers several advantages for epidemiological studies:
Accuracy: Provides more accurate spatial interpolations compared to simpler methods like inverse distance weighting. Uncertainty Quantification: Allows for the estimation of prediction uncertainty, which is useful for risk assessment. Flexibility: Can incorporate different variogram models to best fit the data's spatial structure.
