FeedbackTS (version 1.3.1)

KT.output-class: Class "KT.output"

Description

Output of the krige.test function.

Objects from the Class

Objects are created by calls of the krige.test function.

References

Soubeyrand, S., Morris, C. E. and Bigg, E. K. (2014). Analysis of fragmented time directionality in time series to elucidate feedbacks in climate data. Environmental Modelling and Software 61: 78-86.

Examples

showClass("KT.output")

#### load data of feedback and change-in-feedback indices in 88 sites across Australia
data(rain.feedback.stats)

#### spatial coordinates of the 88 sites
coord=rain.feedback.stats[,3:4]

#### map of feedback index computed from the whole data series
stat1=rain.feedback.stats[["Feedback.whole.period"]]

#### variogram analysis and kriging of feedback index
par(mfrow=c(2,3), mar=c(5.1,4.1,4.1,2.1))
kr1=krige(coordinates=coord,statistic=stat1,
   grid=list(x=seq(110,155,0.25),y=seq(-45,-11,0.25),border="Australia",
      proj="+proj=lcc +lat_1=-18 +lat_2=-36 +lat0=-25 +lon_0=140",degrees=TRUE),
   variog.param=list(keep.distance=2/3,nb.bin=15,cov.pars=c(0.0008,10^6),
      nugget=0.0001,fix.nugget=FALSE,coordinates.scaling=10^5,statistic.scaling=0.01),
   krige.param=list(type.krige="ok",trend.d="1st"),plots=TRUE)

#### test spatial variation in feedback index and plot test output
## computer intensive stage
kt1=krige.test(krige.output=kr1,subregion=list(x=c(138,152,152,138),y=-c(40,40,33,33)),
   alternative="greater", nb.rand=2000)
par(mfrow=c(1,2), mar=c(5.1,4.1,4.1,2.1))	
plot(kt1,digits=list(predict=3,pvalue=3),breaks=12)