swh:1:snp:33a53053e50f7abe7d281cc0c803be827debf4a3
Raw File
Tip revision: 4c9177bd0002be2d30a6c9f2de79437894a9514a authored by Edzer J. Pebesma on 19 September 2007, 00:00:00 UTC
version 0.9-42
Tip revision: 4c9177b
cv.Rout.save

R : Copyright 2005, The R Foundation for Statistical Computing
Version 2.2.1  (2005-12-20 r36812)
ISBN 3-900051-07-0

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> # try bivariate cokriging; cross validate first variable
> library(gstat)
Loading required package: sp
> data(meuse)
> g=gstat(NULL, "log-zinc", log(zinc)~1,  ~x+y, meuse, nmax=10)
> g=gstat(g, "log-lead", log(lead)~1,     ~x+y, meuse, nmax=10)
> g=gstat(g, "log-copper", log(copper)~1, ~x+y, meuse, nmax=10)
> v=variogram(g)
> g=gstat(g, model=vgm(1, "Sph", 1000), fill.all=T)
> g=fit.lmc(v, g)
> g
data:
log-zinc : formula = log(zinc)`~`1 ; data dim = 155 x 12 nmax = 10
log-lead : formula = log(lead)`~`1 ; data dim = 155 x 12 nmax = 10
log-copper : formula = log(copper)`~`1 ; data dim = 155 x 12 nmax = 10
variograms:
                    model     psill range
log-zinc              Sph 0.7132435  1000
log-lead              Sph 0.6133020  1000
log-copper            Sph 0.3634211  1000
log-zinc.log-lead     Sph 0.6367012  1000
log-zinc.log-copper   Sph 0.4570044  1000
log-lead.log-copper   Sph 0.3934910  1000
~x + y
> set.seed(13131)
> summary(gstat.cv(g, remove.all=TRUE, nfold=5))
Intrinsic Correlation found. Good.
[using ordinary cokriging]
Intrinsic Correlation found. Good.
[using ordinary cokriging]
Intrinsic Correlation found. Good.
[using ordinary cokriging]
Intrinsic Correlation found. Good.
[using ordinary cokriging]
Intrinsic Correlation found. Good.
[using ordinary cokriging]
 log.zinc.pred    log.zinc.var        observed        residual        
 Min.   :4.840   Min.   :0.05409   Min.   :4.727   Min.   :-1.065578  
 1st Qu.:5.368   1st Qu.:0.10484   1st Qu.:5.288   1st Qu.:-0.217605  
 Median :5.858   Median :0.13511   Median :5.787   Median :-0.012082  
 Mean   :5.882   Mean   :0.15125   Mean   :5.886   Mean   : 0.003732  
 3rd Qu.:6.353   3rd Qu.:0.16969   3rd Qu.:6.514   3rd Qu.: 0.218088  
 Max.   :7.317   Max.   :0.79033   Max.   :7.517   Max.   : 1.353119  
     zscore               fold         x                y         
 Min.   :-3.008118   Min.   :1   Min.   :178605   Min.   :329714  
 1st Qu.:-0.586261   1st Qu.:2   1st Qu.:179371   1st Qu.:330762  
 Median :-0.031313   Median :3   Median :179991   Median :331633  
 Mean   : 0.008212   Mean   :3   Mean   :180005   Mean   :331635  
 3rd Qu.: 0.632272   3rd Qu.:4   3rd Qu.:180630   3rd Qu.:332463  
 Max.   : 3.279924   Max.   :5   Max.   :181390   Max.   :333611  
> summary(gstat.cv(g, remove.all=FALSE, nfold=5))
Intrinsic Correlation found. Good.
[using ordinary cokriging]
Intrinsic Correlation found. Good.
[using ordinary cokriging]
Intrinsic Correlation found. Good.
[using ordinary cokriging]
Intrinsic Correlation found. Good.
[using ordinary cokriging]
Intrinsic Correlation found. Good.
[using ordinary cokriging]
 log.zinc.pred    log.zinc.var         observed        residual        
 Min.   :4.632   Min.   :0.002590   Min.   :4.727   Min.   :-0.513948  
 1st Qu.:5.293   1st Qu.:0.005023   1st Qu.:5.288   1st Qu.:-0.074101  
 Median :5.767   Median :0.006181   Median :5.787   Median : 0.010331  
 Mean   :5.893   Mean   :0.006597   Mean   :5.886   Mean   :-0.007157  
 3rd Qu.:6.426   3rd Qu.:0.007500   3rd Qu.:6.514   3rd Qu.: 0.070512  
 Max.   :7.674   Max.   :0.027236   Max.   :7.517   Max.   : 0.506778  
     zscore              fold             x                y         
 Min.   :-5.45652   Min.   :1.000   Min.   :178605   Min.   :329714  
 1st Qu.:-1.05557   1st Qu.:2.000   1st Qu.:179371   1st Qu.:330762  
 Median : 0.11046   Median :3.000   Median :179991   Median :331633  
 Mean   :-0.07335   Mean   :2.968   Mean   :180005   Mean   :331635  
 3rd Qu.: 0.86810   3rd Qu.:4.000   3rd Qu.:180630   3rd Qu.:332463  
 Max.   : 7.37567   Max.   :5.000   Max.   :181390   Max.   :333611  
> 
back to top