Revision 2b28322cd75357fc6c5547746b38a5c7d71f576a authored by Edzer J. Pebesma on 02 June 2005, 13:54:10 UTC, committed by cran-robot on 02 June 2005, 13:54:10 UTC
1 parent e5a07f3
covtable.Rout.save
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> library(gstat)
> d=expand.grid(x=c(-.5,.5), y=c(-.5,.5))
> d$z=1:4
> vv=vgm(model = "Tab", covtable =
+ variogram.line(vgm(1, "Sph", 1), 1, n=1e4,min = 0, covariance = TRUE))
> vv
model psill maxdist
1 Tab 0 1
covariance table:
1 2001 4001 6000 8000 10000
1.0000000 0.7039712 0.4319496 0.2080384 0.0560108 0.0000000
> krige(z~1,~x+y,d,data.frame(x=0,y=0),vgm(1, "Sph", 1))
[using ordinary kriging]
x y var1.pred var1.var
1 0 0 2.5 1.017767
> krige(z~1,~x+y,d,data.frame(x=0,y=0),vv)
[using ordinary kriging]
x y var1.pred var1.var
1 0 0 2.5 1.017863
> krige(z~1,~x,d[1:2,],data.frame(x=0,y=0),vgm(1, "Sph", 1))
[using ordinary kriging]
x var1.pred var1.var
1 0 1.5 0.875
> krige(z~1,~x,d[1:2,],data.frame(x=0,y=0),vv)
[using ordinary kriging]
x var1.pred var1.var
1 0 1.5 0.8751125
>
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