Nothing
library(intamap)
data(meuse)
coordinates(meuse) = ~x+y
data(meuse.grid)
coordinates(meuse.grid) = ~x+y
set.seed(13531)
predictionLocations = spsample(meuse,50,"regular")
gridded(predictionLocations) = TRUE
cs = predictionLocations@grid@cellsize[1]/2
meuse$value = log(meuse$zinc)
outputWhat = list(mean=TRUE,variance=TRUE,quantile=0.025,quantile=0.0975)
res1 = interpolateBlock(meuse,predictionLocations,outputWhat,methodName = "automap")$outputTable
summary(t(res1))
Srl = list()
for (i in 1:dim(coordinates(predictionLocations))[1]) {
pt1 = coordinates(predictionLocations)[i,]
x1 = pt1[1]-cs
x2 = pt1[1]+cs
y1 = pt1[2]-cs
y2 = pt1[2]+cs
boun = data.frame(x=c(x1,x2,x2,x1,x1),y=c(y1,y1,y2,y2,y1))
coordinates(boun) = ~x+y
boun = Polygon(boun)
Srl[[i]] = Polygons(list(boun),ID = as.character(i))
}
predictionLocations = SpatialPolygons(Srl)
res2 = interpolateBlock(meuse,predictionLocations,outputWhat,methodName="automap")$outputTable
summary(t(res2))
max((res2-res1)/res1)
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