Hi Jim, Thanks for your advice. The problem is that I can't lose any of the data - it's a global dataset, where the left-most column = 180 degrees west, and the right-most is 180 degrees east. The top row is the North Pole and the bottom row is the South Pole.
I've got 512MB RAM on the machine I'm using - which has been enough to deal with such datasets before...? I'm wondering, is there an alternative means of achieving this? Perhaps orientated via the desired output of the 'coarsened' dataset - my calculations suggest that the dataset would need to change from the current 2160 x 4320 dimensions to 360 x 720. Is there any way of doing this based on averages of blocks of rows/columns, for example? Many thanks again, Steve _________________________________________________________________ Find the best and worst places on the planet ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
