https://github.com/cran/gstat
Tip revision: 2dc01647537ce302e4e2b10aa8bea9e40d7e3134 authored by Edzer J. Pebesma on 21 May 2007, 00:00:00 UTC
version 0.9-39
version 0.9-39
Tip revision: 2dc0164
blockkr.R
library(gstat)
data(meuse)
new.locs <- data.frame(x = c(181170, 180310, 180205, 178673, 178770, 178270),
y = c(333250, 332189, 331707, 330066, 330675, 331075))
krige(zinc ~ 1, ~ x + y, meuse, newdata = new.locs,
model = vgm(1.34e5, "Sph", 800, nug = 2.42e4),
block = c(40,40), nmax = 40)
new.locs <- data.frame(x = c(181170), y = c(333250))
disc = c(-15,-5,5,15)
block.irreg <- data.frame(expand.grid(x = disc, y = disc))
block.irreg
# first disable default Gaussian quadrature used for block integration, by
# setting nblockdiscr explicitly:
krige(zinc ~ 1, ~ x + y, meuse, newdata = new.locs,
model = vgm(1.34e5, "Sph", 800, nug = 2.42e4),
block = c(40,40), nmax = 40, set = list(nblockdiscr=4))
# now pass the same block discretization as block.irreg
krige(zinc ~ 1, ~ x + y, meuse, newdata = new.locs,
model = vgm(1.34e5, "Sph", 800, nug = 2.42e4),
block = block.irreg, nmax = 40)