Compute simple kriging or residual kriging predictions (and also the corresponding simple kriging standard errors ). Currently, only global (residual) simple kriging is implemented.
np.kriging(object, ...) # S3 method for default np.kriging(object, svm, lp.resid = NULL, ngrid = object$grid$n, ...) # S3 method for np.geo np.kriging(object, ngrid = object$grid$n, ...) kriging.simple(x, y, newx, svm) kriging.simple.solve(x, newx, svm)
object | object used to select a method:
local polynomial estimate of the trend (class |
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... | further arguments passed to or from other methods. |
svm | semivariogram model (of class extending |
lp.resid | residuals (defaults to |
ngrid | number of grid nodes in each dimension. |
x | a (data) object used to select a method. |
y | vector of data (response variable). |
newx | vector/matrix with the (irregular) locations to predict
(columns correspond with dimensions and rows with locations)
or an object extending |