## Not run:
# # Comparison of Co in March and September
#
# with(mosses, {
#
# nbins <- 12
# vgm.m <- sm.variogram(loc.m, Co.m, nbins = nbins, original.scale = TRUE,
# ylim = c(0, 1.5))
# vgm.s <- sm.variogram(loc.s, Co.s, nbins = nbins, original.scale = TRUE,
# add = TRUE, col.points = "blue")
#
# trns <- function(x) (x / 0.977741)^4
# del <- 1000
# plot(vgm.m$distance.mean, trns(vgm.m$sqrtdiff.mean), type = "b",
# ylim = c(0, 1.5), xlab = "Distance", ylab = "Semi-variogram")
# points(vgm.s$distance.mean - del, trns(vgm.s$sqrtdiff.mean), type = "b",
# col = "blue", pch = 2, lty = 2)
#
# plot(vgm.m$distance.mean, trns(vgm.m$sqrtdiff.mean), type = "b",
# ylim = c(0, 1.5), xlab = "Distance", ylab = "Semi-variogram")
# points(vgm.s$distance.mean - del, trns(vgm.s$sqrtdiff.mean), type = "b",
# col = "blue", pch = 2, lty = 2)
# segments(vgm.m$distance.mean, trns(vgm.m$sqrtdiff.mean - 2 * vgm.m$se),
# vgm.m$distance.mean, trns(vgm.m$sqrtdiff.mean + 2 * vgm.m$se))
# segments(vgm.s$distance.mean - del, trns(vgm.s$sqrtdiff.mean - 2 * vgm.s$se),
# vgm.s$distance.mean - del, trns(vgm.s$sqrtdiff.mean + 2 * vgm.s$se),
# col = "blue", lty = 2)
#
# mn <- (vgm.m$sqrtdiff.mean + vgm.s$sqrtdiff.mean) / 2
# se <- sqrt(vgm.m$se^2 + vgm.s$se^2)
# plot(vgm.m$distance.mean, trns(vgm.m$sqrtdiff.mean), type = "n",
# ylim = c(0, 1.5), xlab = "Distance", ylab = "Semi-variogram")
# polygon(c(vgm.m$distance.mean, rev(vgm.m$distance.mean)),
# c(trns(mn - se), rev(trns(mn + se))),
# border = NA, col = "lightblue")
# points(vgm.m$distance.mean, trns(vgm.m$sqrtdiff.mean))
# points(vgm.s$distance.mean, trns(vgm.s$sqrtdiff.mean), col = "blue", pch = 2)
#
# vgm1 <- sm.variogram(loc.m, Co.m, nbins = nbins, varmat = TRUE,
# display = "none")
# vgm2 <- sm.variogram(loc.s, Co.s, nbins = nbins, varmat = TRUE,
# display = "none")
#
# nbin <- length(vgm1$distance.mean)
# vdiff <- vgm1$sqrtdiff.mean - vgm2$sqrtdiff.mean
# tstat <- c(vdiff %*% solve(vgm1$V + vgm2$V) %*% vdiff)
# pval <- 1 - pchisq(tstat, nbin)
# print(pval)
# })
#
# # Assessing isotropy for Hg in March
#
# with(mosses, {
# sm.variogram(loc.m, Hg.m, model = "isotropic")
# })
#
# # Assessing stationarity for Hg in September
#
# with(mosses, {
# vgm.sty <- sm.variogram(loc.s, Hg.s, model = "stationary")
# i <- 1
# image(vgm.sty$eval.points[[1]], vgm.sty$eval.points[[2]], vgm.sty$estimate[ , , i],
# col = topo.colors(20))
# contour(vgm.sty$eval.points[[1]], vgm.sty$eval.points[[2]], vgm.sty$sdiff[ , , i],
# col = "red", add = TRUE)
# })
#
# ## End(Not run)
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