line.Rout.save
R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
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> library(gstat)
Loading required package: sp
> data(meuse.grid)
> gridded(meuse.grid) = ~x+y
> data(meuse)
> coordinates(meuse) = ~x+y
>
> # choose arbitrary line over the grid:
> image(meuse.grid["dist"],axes=T)
> pp = rbind(c(180000,331000),c(180000,332000),c(181000,333500))
> Sl = SpatialLines(list(Lines(list(Line(pp)), "a")))
> plot(Sl,add=T,col='green')
>
> # use the default spsample arguments of predict.gstat:
> pts=spsample(Sl,n=500,'regular',offset=c(.5,.5))
> plot(pts, pch=3, cex=.2, add=T)
>
> v = vgm(.6, "Sph", 900, .06)
> out1 = krige(log(zinc)~1, meuse, Sl, v)
[using ordinary kriging]
> out1
An object of class “SpatialLinesDataFrame”
Slot "data":
x y var1.pred var1.var
a 180333.3 332166.7 6.161791 0.008025042
Slot "lines":
[[1]]
An object of class “Lines”
Slot "Lines":
[[1]]
An object of class “Line”
Slot "coords":
[,1] [,2]
[1,] 180000 331000
[2,] 180000 332000
[3,] 181000 333500
Slot "ID":
[1] "a"
Slot "bbox":
min max
r1 180000 181000
r2 331000 333500
Slot "proj4string":
CRS arguments: NA
>
> points(180333,332167,pch=3,cex=2)
>
> # use the same line as block discretization, and predict for (0,0)
> # (because the block discretizing points are not centered)
> out2 = krige(log(zinc)~1, meuse, SpatialPoints(matrix(0,1,2)), v, block=coordinates(pts))
[using ordinary kriging]
> out2
coordinates var1.pred var1.var
1 (0, 0) 6.161791 0.008025042
>
> compare.krigingLines = function(formula, data, newdata, model) {
+ out1 = krige(formula, data, newdata, model)
+ pts = spsample(newdata, n=500, 'regular', offset=.5)
+ out2 = krige(formula, data, SpatialPoints(matrix(0,1,2)), model, block = coordinates(pts))
+ print("difference:")
+ as.data.frame(out1)[3:4]- as.data.frame(out2)[3:4]
+ }
>
> compare.krigingLines(log(zinc)~1, meuse, Sl, v)
[using ordinary kriging]
[using ordinary kriging]
[1] "difference:"
var1.pred var1.var
a 0 0
>
> # one line, consisting of two line segments:
> pp2 = rbind(c(181000,333500),c(181000,332500))
> Sl2 = SpatialLines(list(Lines(list(Line(pp),Line(pp2)), "a")))
> krige(log(zinc)~1, meuse, Sl2, v)
[using ordinary kriging]
An object of class “SpatialLinesDataFrame”
Slot "data":
x y var1.pred var1.var
a 180666.7 332583.3 6.042376 0.005319134
Slot "lines":
[[1]]
An object of class “Lines”
Slot "Lines":
[[1]]
An object of class “Line”
Slot "coords":
[,1] [,2]
[1,] 180000 331000
[2,] 180000 332000
[3,] 181000 333500
[[2]]
An object of class “Line”
Slot "coords":
[,1] [,2]
[1,] 181000 333500
[2,] 181000 332500
Slot "ID":
[1] "a"
Slot "bbox":
min max
r1 180000 181000
r2 331000 333500
Slot "proj4string":
CRS arguments: NA
> compare.krigingLines(log(zinc)~1, meuse, Sl2, v)
[using ordinary kriging]
[using ordinary kriging]
[1] "difference:"
var1.pred var1.var
a 0 0
>
> # two seperate line segments:
> Sl3 = SpatialLines(list(Lines(list(Line(pp)), "a"),Lines(list(Line(pp2)),"b")))
> krige(log(zinc)~1, meuse, Sl3, v)
[using ordinary kriging]
An object of class “SpatialLinesDataFrame”
Slot "data":
x y var1.pred var1.var
a 180333.3 332166.7 6.161791 0.008025042
b 181000.0 333000.0 5.706034 0.011042867
Slot "lines":
[[1]]
An object of class “Lines”
Slot "Lines":
[[1]]
An object of class “Line”
Slot "coords":
[,1] [,2]
[1,] 180000 331000
[2,] 180000 332000
[3,] 181000 333500
Slot "ID":
[1] "a"
[[2]]
An object of class “Lines”
Slot "Lines":
[[1]]
An object of class “Line”
Slot "coords":
[,1] [,2]
[1,] 181000 333500
[2,] 181000 332500
Slot "ID":
[1] "b"
Slot "bbox":
min max
r1 180000 181000
r2 331000 333500
Slot "proj4string":
CRS arguments: NA
>