Why this vignette? | [C(\mathbf h,u) | Pure spatial and temporal kernels | Separable covariance | Fully symmetric Gneiting model | Lagrangian covariance functions | Triangular | Askey | Exponential | Combine the base and Lagrangian terms | A practical model-selection sequence | Parameter interpretation | References

Overview | Prepare an MCGF object | Fit the base covariance model | Define a new location | Forecast with krige_new() | Forecast using new observed data | If observations at the new location are available | Supplying distances directly | General stationary model | Regime-switching objects

Introduction | Irish Wind | Data De-trending | Fitting Covariance Models | Pure Spatial Model | Pure Temporal Model | Separable Model | Fully Symmetric Model | Lagrangian Model | Simple Kriging | RMSE | MAE | POPI | Simple Kriging for new locations | References

Introduction | Simulated Example | Regime process | Data Simulation | Locations | Data simulation | Fitting Covariance Models | Pure Spatial Model | Pure Temporal Model | Separable Model | Lagrangian Model | Simple Kriging for new locations | RMSE | MAE | POPI | References

Overview | Distances | Simulate an MCGF | Add a Lagrangian component | Simulate an RS-MCGF | Returning covariance details | Common choices | References