Hi Thiago, My weapon of choice for that would be to use the ggplot2 library.
Here is a quick example. I *hope* it is reproducible (I on't have R installed on the machine I am posting from): # here is a sample data frame with locations, a categorical variable and a continuous variable dat <- data.frame(x=runif(5), y=runif(5), category=letters(5), continuous=runif(5)) # You may want to do some spatial analysis on that data.frame library(sp) coordinates(dat) <- ~x+y # Some spatial analysis here # Now you want to plot it library(ggplot2) df <- as.data.frame(dat) # backtransforms dat into a data.frame object my.plot <- ggplot(data=df, aes(x=x, y=y)) + geom_point(aes(size=category, fill=continuous)) print(my.plot) For more info on theggplot2 options see http://had.co.nz/ggplot2/ HTH, Pierre 2010/8/24 Thiago Veloso <thi_vel...@yahoo.com.br>: > Dear SIG colleagues, > In my present study I need to plot a map containing two different > attributes of some localities. I figured out that a convenient and > didactic way would be via something like bubble plots. For example, the size > of the circle would be proportional to a certain range of values (4 > categories) and its inner colors (also 4 categories) would be proportional to > the p-values of a statistical test. > Is it possible to implement that idea using SIG tools in R? Any suggestions > on how to do it?? > Thanks in advance and best wishes, > Thiago. > > > > [[alternative HTML version deleted]] > > > _______________________________________________ > R-sig-Geo mailing list > R-sig-Geo@stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > > _______________________________________________ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo