I need to plot, in 3D, a set of densities associated to a time series. More precisely, I would like to be able in R to build an image close to this example
This image is taken from [1]. The transparency plays an important role as let us see the trajectory of the "measures" in the x-y plane.
Any help will be greatly appreciated.
[1]: Juban and Kariniotakis, "Uncertainty Estimation of Wind Power Forecasts", presentation at EWEC 2008 - 01 April - Brussels, Belgium. (I can't post the link, google will help interested readers).
In 1996 I wrote a paper (published in JCGS) with a figure very similar to that but without the transparency. See http://robjhyndman.com/papers/estimating-and-visualizing-conditional-densities/ for the details. The plotting function is implemented in the R package hdrcde available on CRAN. The package contains some examples in the help files. You should be able to adapt my code to add the transparency.
This is pretty, but is it really useful? Even with the transparency, it is very hard to track and compare different trajectories.
This is how far I got thanks to Rob's hint. I used persp() to create an empty plot and added polygons and lines to it:
However, it is not as pretty as the original one... :(