You'll notice that I wasn't volunteering.. :-) I guess my main comment re massive datasets, etc. is that once I learned about the power of generic programming (we've been adapting the Boost Graph Library to work with GIS), I always feel a great sense of waste when I see nice algorithms chained pitifully to their data structures. We shouldn't be writing code that depends on R to supply the data. That will never scale. I agree that PostGIS is probably the way to go. It would be nice if we could get PostGIS objects to masquerade as R objects so folks need only learn one interface. Anyway, the sp stuff is a huge step forward. Wish I had more time to work on some alternative backends.
Cheers, Tim On Fri, 2006-04-07 at 10:30 +0100, Edzer J. Pebesma wrote: > "We need", as in "I would like to see", yes, I agree -- Timothy H. Keitt Assistant Professor http://www.keittlab.org/ http://www.utexas.edu/directory/index.php?q=Keitt _______________________________________________ R-sig-Geo mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-geo
