mra_wendland_2d_pred {BayesMRA} | R Documentation |
Code to construct the mutli-resolution sparse basis function representation for fitting spatial processes
mra_wendland_2d_pred(locs, locs_pred, MRA, use_spam = TRUE)
locs |
The location variables in 2 dimensions over which to construct the basis function representation in the fitting stage. |
locs_pred |
The location variables in 2 dimensions over which to construct the basis function representation in the prediction stage. |
MRA |
The multi-resolution basis expansion at the observed locations. This object is the output of |
use_spam |
is a boolean flag to determine whether the output is a list of spam matrix objects ( |
A list of objects including the MRA knots locations locs_grid
,
the Wendland basis representation matrix W_pred
at the prediction locations, and the basis radius radius
set.seed(111) locs <- matrix(runif(20), 10, 2) locs_pred <- matrix(runif(20), 10, 2) MRA <- mra_wendland_2d(locs, M = 2, n_coarse_grid = 4) MRA_pred <- mra_wendland_2d_pred(locs, locs_pred, MRA) ## plot the MRA prediction grid at different resolutions layout(matrix(1:2, 1, 2)) plot(MRA_pred$locs_grid[[1]]) plot(MRA_pred$locs_grid[[2]])