[This article was first published on Bart Rogiers - Sreigor, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
The PMPATH particle tracking output, with a file format similar to the pathline output mode of MODPATH (see above), can be transformed easily into a GIF animation using R and ImageMagick (see below for a simple example).
First of all, you need a working installation of ImageMagick and you have to install and load the R animation package. Possibly you have to adjust the path to the convert executable (default paths are specified, but if something goes wrong, this would be the first thing to check), as shown below:
install.packages('animation')
library(animation)
ani.options(convert='C:/Program Files/ImageMagick-6.7.9-Q16/convert.exe')The following functions provide you a way to read the modpath pathline output mode format, and create a 2D GIF animation based on the particle numbers (nr), x- and y-coordinates (x; y) and time indication (t). Additionally you need to specify the number of frames (steps), duration of a single frame (step.time), maximum time (max.time) and a scaling factor (scaling.factor) to get different particle tracking animations in proportion. The rest of the code should be pretty straightforward.
animate <- function(filename, axes=T, cex=0.5, pch=16, lines=T, pathline.file.extension='.pathline.dat', animation.file.extension='.gif')
{
modpath <- read.modpath(paste(filename,pathline.file.extension,sep=''))
write.gif(nr=modpath$nr, x=modpath$x, y=modpath$y, t=modpath$time,
file=paste(filename,filename.adj,sep=''), axes=axes, cex=cex, pch=pch, lines=lines)
}
read.modpath <- function(filename)
{
modpath <- scan(filename, what=character(), sep='\n')
modpath <- modpath[-c(1:3)]
modpath.data.frame <- matrix(nrow=length(modpath), ncol=10)
for(i in 1:length(modpath))
{
split <- strsplit(modpath[[i]],c(' '))
modpath.data.frame[i,] <- as.numeric(split[[1]][-which(split[[1]]=='')])
}
modpath.data.frame <- as.data.frame(modpath.data.frame)
names(modpath.data.frame) <- c('nr','x','y','z','global.z','time','i','j','k','dummy')
return(modpath.data.frame)
}
write.gif <- function(nr, x, y, t, file, steps=500, step.time=0.1, max.time=72000, axes, cex, pch, lines, scaling.factor=200)
{
ani.options(interval=step.time,outdir = getwd(),nmax=steps, ani.width=max(x)*scaling.factor,ani.height=max(y)*scaling.factor)
saveGIF({
for(i in 1:steps)
{
time <- i*max.time/steps
times <- which(t <= time)
par(mar=c(0,0,0,0))
plot(x, y, type='n', xlab='x',ylab='y',axes=axes)
for(j in 1:max(nr))
{
if(lines) lines(x[times][which(nr[times]==j)], y[times][which(nr[times]==j)],lty=2, col='gray')
points(x[times][max(which(nr[times]==j))], y[times][max(which(nr[times]==j))],cex=cex,pch=pch)
}
legend('bottomright',legend=c(time), bty='n')
}}, movie.name=file)
}
To leave a comment for the author, please follow the link and comment on their blog: Bart Rogiers - Sreigor.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.