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## ----setup, include=FALSE ,results='hide'-------------------------------------
knitr::opts_chunk$set(fig.width=10, fig.height=10,fig.asp = 0.618, out.width = "95%", fig.align = "center", fig.dpi = 150, collapse = FALSE, comment = "#")
#knitr::opts_chunk$set(dev = 'pdf')
## ----results='hide', message=FALSE, warning=FALSE-----------------------------
library(raster)
library(gstat)
library(rasterdiv)
## -----------------------------------------------------------------------------
gridDim <- 40 # 10000m/250 m = 40 columns and rows
xy <- expand.grid(x=1:gridDim, y=1:gridDim)
## -----------------------------------------------------------------------------
varioMod <- vgm(psill=0.005, range=100, model='Exp') # psill=partial sill=(sill-nugget)
# Set up an additional variable from simple kriging
zDummy <- gstat(formula=z~1,
locations = ~x+y,
dummy=TRUE,
beta=200,
model=varioMod,
nmax=1)
# Generate a randomly autocorrelated predictor data field
set.seed(123)
xyz <- predict(zDummy, newdata=xy, nsim=2)
## -----------------------------------------------------------------------------
utm32N <- "+proj=utm +zone=32 +ellps=WGS84 +datum=WGS84 +units=m +no_defs"
r <- raster(nrow=40, ncol=40, crs=utm32N, ext=extent(0,10000, 0,10000))
r1 <- raster(nrow=40, ncol=40, crs=utm32N, ext=extent(0,10000, 0,10000))
values(r)=xyz$sim1
values(r1)=xyz$sim2
## ----results='hide', message=FALSE, warning=FALSE-----------------------------
mRao <- paRao(x=list(r,r1), window=c(3,5), alpha=c(1,Inf), na.tolerance=1, method="multidimension",simplify=3, debugging=TRUE)
## -----------------------------------------------------------------------------
plot(stack(r,r1,stack(mRao[[1]]),stack(mRao[[2]])), nc = 2, nr = 3)
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