Paul, this nicely illustrates the power of ggplot2. In the resulting plot, however, it seems to me that the
+ opts(aspect.ratio = 1) does not result in the desired effect that 1 m in the x direction equals 1 m in the y direction. Standard plot (asp = 1), and lattice plots (asp = "iso") have this; what does ggplot2 need? On 10/31/2010 11:31 AM, Paul Hiemstra wrote: > Hi Peter, > > When creating such a large amount of illustrations with the same > colorscale, I automatically think of lattice graphics. Under the hood > spplot also uses lattice graphics. Take a look at the levelplot() > function from lattice which produces the grid plots for spplot (if I'm > correct). Alternatively, I've been using ggplot now for quite a while to > make plots of a lot of grids. A small example says more than a thousand > words: > > library(ggplot2) > library(sp) > > data(meuse.grid) > summary(meuse.grid) > > # Note that I do not transform meuse.grid to SpatialPixelsDataFrame > # Let's make a simple grid plot > dum = meuse.grid[c("x","y","dist")] > ggplot(aes(x = x, y = y, fill = dist), data = dum) + geom_tile() > > # Let's make a few more attributes to the grid > # could be measurements on other dates for example > new_atts = do.call("cbind", lapply(1:100, function(num) dum$dist + > runif(dum$dist))) > summary(new_atts) > dum = data.frame(cbind(dum, new_atts)) > > # Important step now is to > # restructure the data > dum_ggplot = melt(dum, id.vars = c("x","y")) > > # Now make a plot using dum_ggplot > # of 'x' and 'y' using value as a 'fill' > # with a plot per 'variable', can take a minute to plot > ggplot(aes(x = x, y = y, fill = value), data = dum_ggplot) + geom_tile() > + facet_wrap(~variable) + > scale_x_continuous('', labels = NA, breaks = NA) + > scale_y_continuous('', labels = NA, breaks = NA) + > opts(aspect.ratio = 1) > # These last two lines get rid of the labels on the axes and set aspect > ratio to 1 > > Now you have a plot with 101 maps with the same colorscale, with ggplot > doing all the hard work. It takes some time to get the hang of ggplot, > but I think it is worth the investment, also for spatial plots. > > cheers and hope this helps, > Paul > > On 10/28/2010 09:12 PM, Peter Larson wrote: >> Hello! >> >> I have a problem. >> >> I am using IDW to interpolate a daily series of geospatial >> observations. Thus, I want to produce a large number of sequential >> maps. >> >> I want them to all represent the same color scale. Is there any way to >> fix the color scale so that it is the same for all the plots? >> >> Thanks, >> >> Pete >> >> _______________________________________________ >> R-sig-Geo mailing list >> R-sig-Geo@stat.math.ethz.ch >> https://stat.ethz.ch/mailman/listinfo/r-sig-geo >> > > -- Edzer Pebesma Institute for Geoinformatics (ifgi), University of Münster Weseler Straße 253, 48151 Münster, Germany. Phone: +49 251 8333081, Fax: +49 251 8339763 http://ifgi.uni-muenster.de http://www.52north.org/geostatistics e.pebe...@wwu.de _______________________________________________ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo