Despite its advantages, ordinary kriging has some limitations:
Computationally Intensive: Requires significant computational resources, especially for large datasets. Data Requirements: Needs a substantial amount of spatially referenced data to produce reliable estimates. Stationarity Assumption: The assumption of a constant mean may not hold in all epidemiological contexts.
