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testground
2008 Aug 05
4
LIDAR Problem in R (THANKS for HELP)
.... Best
shape is from 135?
9. Fig 9- semi-variogram fit with Gaussian Model. R code is:
> v = variogram(Z~X+Y, subground, cutoff=1800, width=200, alpha=c(135))
> v.fit = fit.variogram(v, vgm(psill = 1, model="Gau", range=1800, nugget=
0, anis=c(135, 0.5)))
R code:
testground2 <-
read.table(file="c:/work_LIDAR_USA/R_kriging_new_set/ground_26841492694149_x
yz.txt", header=T)
class (testground2)
coordinates (testground2)=~X+Y # this makes testground a
SpatialPointsDataFrame
class (testground2)
str(as.data.frame(testground))
hist(testground$Z,nclass=20)...