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    <p>Late to this game, but I created a <a href="http://probabilitynotes.wordpress.com/2010/06/27/plot-multiple-time-series-using-the-flowinkblotriverribbonvolcanohourglassareawhatchamacallit-plots-blue-whale-catch-per-country-w-ggplot2/">stacked "blot" chart using ggplot2 and another set of data</a>. This uses geom_polygon after the data has been smoothed out.</p> <pre><code># data: Masaaki Ishida (luna@pos.to) # http://luna.pos.to/whale/sta.html head(blue, 2) ## Season Norway U.K. Japan Panama Denmark Germany U.S.A. Netherlands ## ## [1,] 1931 0 6050 0 0 0 0 0 0 ## ## [2,] 1932 10128 8496 0 0 0 0 0 0 ## ## U.S.S.R. South.Africa TOTAL ## ## [1,] 0 0 6050 ## ## [2,] 0 0 18624 hourglass.plot &lt;- function(df) { stack.df &lt;- df[,-1] stack.df &lt;- stack.df[,sort(colnames(stack.df))] stack.df &lt;- apply(stack.df, 1, cumsum) stack.df &lt;- apply(stack.df, 1, function(x) sapply(x, cumsum)) stack.df &lt;- t(apply(stack.df, 1, function(x) x - mean(x))) # use this for actual data ## coords.df &lt;- data.frame(x = rep(c(df[,1], rev(df[,1])), times = dim(stack.df)[2]), y = c(apply(stack.df, 1, min), as.numeric(apply(stack.df, 2, function(x) c(rev(x),x)))[1:(length(df[,1])*length(colnames(stack.df))*2-length(df[,1]))]), id = rep(colnames(stack.df), each = 2*length(df[,1]))) ## qplot(x = x, y = y, data = coords.df, geom = "polygon", color = I("white"), fill = id) # use this for smoothed data density.df &lt;- apply(stack.df, 2, function(x) spline(x = df[,1], y = x)) id.df &lt;- sort(rep(colnames(stack.df), each = as.numeric(lapply(density.df, function(x) length(x$x))))) density.df &lt;- do.call("rbind", lapply(density.df, as.data.frame)) density.df &lt;- data.frame(density.df, id = id.df) smooth.df &lt;- data.frame(x = unlist(tapply(density.df$x, density.df$id, function(x) c(x, rev(x)))), y = c(apply(unstack(density.df[,2:3]), 1, min), unlist(tapply(density.df$y, density.df$id, function(x) c(rev(x), x)))[1:(table(density.df$id)[1]+2*max(cumsum(table(density.df$id))[-dim(stack.df)[2]]))]), id = rep(names(table(density.df$id)), each = 2*table(density.df$id))) qplot(x = x, y = y, data = smooth.df, geom = "polygon", color = I("white"), fill = id) } hourglass.plot(blue[,-12]) + opts(title = c("Blue Whale Catch")) </code></pre> <p><a href="http://probabilitynotes.files.wordpress.com/2010/06/bluewhalecatch.png">alt text http://probabilitynotes.files.wordpress.com/2010/06/bluewhalecatch.png</a></p>
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