summary.COKS_pred {SpatFD} | R Documentation |
Summary of COKS_pred objects
Description
This functions shows a summary of the main objects of COKS_pred objects.
Usage
## S3 method for class 'COKS_pred'
summary(object, ...)
Arguments
object |
Object of class 'COKS_pred'. |
... |
arguments from summary |
Value
This functions prints according to method computed: eigenvalues, variance of prediction and each of the models.
Author(s)
Joan Nicolás Castro jocastroc@unal.edu.co.
References
Bohorquez, M., Giraldo, R., & Mateu, J. (2016). Multivariate functional random fields: prediction and optimal sampling. Stochastic Environmental Research and Risk Assessment, 31, pages53–70 (2017).
See Also
Examples
data(COKMexico)
SFD_PM10_NO2 <- SpatFD(Mex_PM10, coords = coord_PM10,
basis = "Fourier", nbasis = 21, lambda = 0.000001, nharm = 2)
SFD_PM10_NO2 <- SpatFD(NO2, coords = coord_NO2,
basis = "Fourier", nbasis = 27, lambda = 0.000001,
nharm = 2,add = SFD_PM10_NO2)
model1 <- gstat::vgm(647677.1,"Gau",23317.05)
model1 <- gstat::vgm(127633,"Wav",9408.63, add.to = model1)
newcoords <- data.frame(x = 509926,y = 2179149)
coks <- COKS_scores_lambdas(SFD_PM10_NO2,newcoords,model1)
summary(coks)
[Package SpatFD version 0.0.1 Index]