Description Usage Arguments Value Author(s) Examples
Best Method Interpolation
1 | best_method(gauge, cov, idpR = seq(0.8, 3.5, 0.1), formula)
|
gauge |
Is an object of SpatialPointsDataFrame-class. |
cov |
Is an object of RasterLayer. |
idpR |
Is vector numeric of the power coeficient to evaluate. |
formula |
that defines the dependent variable as a linear model of independent variables; suppose the dependent variable has name 'z', for Kriging with Extrenal Drift (KED) use the formula 'z~x+y+....', you do not need define |
a List that contains: Interpol
is the KED result in Raster,
params
being residual
that are spatial residual obtains in the cross-validation (residual),
MSE
is the Residual Mean squared error and finally var
is the variogram model.
Cesar Aybar <aybar1994@gmail.com>
1 2 3 4 | data("Dorado")
gauge <- mean_doble_Station(gauge = Dorado$gauge,cov = Dorado$TRMM)
sat <- Dorado$TRMM
x <- best_method(gauge = gauge,cov = sat,formula = PP_anual~Precipitacion_Anual)
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