## a function to integrate (here: isotropic zero-mean Gaussian density)
f <- function (s, sigma = 5)
    exp(-rowSums(s^2)/2/sigma^2) / (2*pi*sigma^2)
## a simple polygon as integration domain
hexagon <- list(
    list(x = c(7.33, 7.33, 3, -1.33, -1.33, 3),
         y = c(-0.5, 4.5, 7, 4.5, -0.5, -3))
)
if (require("spatstat.geom")) {
    hexagon.owin <- owin(poly = hexagon)
    show_midpoint <- function (eps)
    {
        plotpolyf(hexagon.owin, f, xlim = c(-8,8), ylim = c(-8,8),
                  use.lattice = FALSE)
        ## add evaluation points to plot
        with(as.mask(hexagon.owin, eps = eps),
             points(expand.grid(xcol, yrow), col = t(m), pch = 20))
        title(main = paste("2D midpoint rule with eps =", eps))
    }
    ## show nodes (eps = 0.5)
    show_midpoint(0.5)
    ## show pixel image (eps = 0.5)
    polyCub.midpoint(hexagon.owin, f, eps = 0.5, plot = TRUE)
    ## use a decreasing pixel size (increasing number of nodes)
    for (eps in c(5, 3, 1, 0.5, 0.3, 0.1))
        cat(sprintf("eps = %.1f: %.7f\n", eps,
                    polyCub.midpoint(hexagon.owin, f, eps = eps)))
}
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