Data Collection: Gather spatially referenced data, such as disease incidence rates, from various locations. Variogram Analysis: Compute the variogram to understand spatial correlation and model the spatial structure of the data. Kriging Weights: Calculate weights for each known data point based on the variogram model. Estimation: Use the weights to estimate the value at the unsampled location.