search for: coord_map

...chigan <- map_data('county', 'michigan') mich_points <- data.frame(x = rnorm(n = 200, median(michigan[,1]), 0.75), y = rnorm(n = 200, median(michigan[,2]), 0.75)) ggplot() + geom_path(aes(long, lat, group = group), data = michigan) + geom_point(aes(x, y), data = mich_points) + coord_map('gilbert', xlim = c(-86, -84)) This generates the following error: *Error in unit(x, default.units) : 'x' and 'units' must have length > 0* #Where tank_trunc is a data.frame with two columns, 'lon' and 'lat' containing point coordinates in storage mode ...

...tp://www.ai.rug.nl/~hedderik/R/US2004/map.r ) ? I have geographic (e.g. country, state, county, zip code) count data in a data frame that I would like to represent on a map, but still need to study how map.r works, especially the map.center function... (3) The examples at http://had.co.nz/ggplot2/coord_map.html are great. Adding another example that with color codes for counts from a data frame would be very useful too. (4) Is there a reason why I can produce a map of France but not the UK ? >library(maps) >library(ggplot2) >library(mapproj) >(qplot(x, y, data=(data.frame(map("...

...required aesthetics now listed in documentation * geom_polygon now has a decent example * numerous minor corrections suggested by J?rg Beyer * separated plotting advice from details of plot construction (what vs how), thanks to Bert Gunter for this suggestion Improved map projections (with coord_map) * coord_map defaults to orientation = c(90, 0, mean(range(y))) - this ensures that multiple layers line up correctly, but means you will have to specify the orientation yourself for many projections * coord_map now respects limits set by scales * removed useless ticks from coord_map If you...

...required aesthetics now listed in documentation * geom_polygon now has a decent example * numerous minor corrections suggested by J?rg Beyer * separated plotting advice from details of plot construction (what vs how), thanks to Bert Gunter for this suggestion Improved map projections (with coord_map) * coord_map defaults to orientation = c(90, 0, mean(range(y))) - this ensures that multiple layers line up correctly, but means you will have to specify the orientation yourself for many projections * coord_map now respects limits set by scales * removed useless ticks from coord_map If you...

...to produce a series of maps with different data on, but exactly the same extent in each plot. Is there a way of switching the automatic extent (to the data of the last layer added) OFF? I'm trying something like: drawOverviewMap<-function(){ p2<-ggplot(xlimits=c(2,20),ylimits=c(43,50))+coord_map(project="azequalarea") p2<-p2+geom_path(data=wa,mapping=aes(x=x,y=y)) p2<-p2+geom_point(data=spts,mapping=aes(x=Lon,y=Lat)) return(p2) } If I plot this in cartesian coordinates, it will zoom to the extent of the country boundaries "wa", plus some extra space around it...

...#takes the data from tract color = "#ffffff", #makes the color of the borders between regions white size = 0.15) + #sets the thickness of the boarder lines coord_map("polyconic") + #sets the coordinates to polyconic (rounded lat and long) scale_fill_gradient(name = "Children Reached", #sets the gradient of the value scale: names the scale low = grey_2,...

...heck out the nearly 500 examples of ggplot in use. If you're interested, you can also sign up to the ggplot2 mailing list at http://groups.google.com/group/ggplot2, or track development at http://github.com/hadley/ggplot2 ggplot2 0.8.7 (2010-03-03) ---------------------------------------- * coord_map gains xlim and ylim arguments to control region of projection * corrected label generation for computed aesthetics (..x..) and special names (`x x`) * fullseq: now always returns vector of length two, even when range is 0 * geom_point legend takes more care to ensure that fill colours will be sho...

...heck out the nearly 500 examples of ggplot in use. If you're interested, you can also sign up to the ggplot2 mailing list at http://groups.google.com/group/ggplot2, or track development at http://github.com/hadley/ggplot2 ggplot2 0.8.7 (2010-03-03) ---------------------------------------- * coord_map gains xlim and ylim arguments to control region of projection * corrected label generation for computed aesthetics (..x..) and special names (`x x`) * fullseq: now always returns vector of length two, even when range is 0 * geom_point legend takes more care to ensure that fill colours will be sho...

Hello all: A question from a new user. I have data on a geo-referenced curvilinear grid. This is a grid with 75 rows and 51 columns, is not aligned north-south, and the rows and columns are not straight. (And the coordinates are in meters.) I want to make image plots of this data, but where the grid is deformed according to the correct locations of the grid points, instead of coming out

Dear all, I have a data set which has latitude, longitude (not in increasing order) and observed precipitation corresponding to those locations. I am using image.plot command for that. But I want to overlay a map of US on that plot. I know we can use map('usa') to draw it, but I dont know how can I overlay it on the plot of the precipitation data. Can anyone please help me with it?

...dientn now have formatter argument to match scale_continuous * updated citation to refer to the ggplot2 book Bug fixes * coord_cartesian now correctly sets limits when one or both of the position scales are non-linear. (fixes #17) * coord_equal: now works with non-linear scales (fixes #13) * coord_map sets aspect ratio correctly (fixes #4) * coord_polar correctly combines labels on end of axis if expressions (fixes #39) * coord_trans now respects scale expand parameter (expansion occurs after transformation) (fixes #14) * facet_grid with scales = "free" and space = "free"...

...dientn now have formatter argument to match scale_continuous * updated citation to refer to the ggplot2 book Bug fixes * coord_cartesian now correctly sets limits when one or both of the position scales are non-linear. (fixes #17) * coord_equal: now works with non-linear scales (fixes #13) * coord_map sets aspect ratio correctly (fixes #4) * coord_polar correctly combines labels on end of axis if expressions (fixes #39) * coord_trans now respects scale expand parameter (expansion occurs after transformation) (fixes #14) * facet_grid with scales = "free" and space = "free"...

...atter argument to control the default formatting of the axis labels. See also the handy numeric formatters: dollar, comma and percent * the xlim and ylim functions now produce discrete scales when appropriate, and generate a reverse scale if the minimum is greater than the maximum Improvements * coord_map gains experimental axis labels * facet_grid: new support for varying scales in rows and columns * facet_wrap: new faceter which wraps a 1d ribbon of panels into 2d, in a similar way to lattice * geom_bin: gains a drop argument to control whether or not 0 count bins should be removed * geom_path and...

...atter argument to control the default formatting of the axis labels. See also the handy numeric formatters: dollar, comma and percent * the xlim and ylim functions now produce discrete scales when appropriate, and generate a reverse scale if the minimum is greater than the maximum Improvements * coord_map gains experimental axis labels * facet_grid: new support for varying scales in rows and columns * facet_wrap: new faceter which wraps a 1d ribbon of panels into 2d, in a similar way to lattice * geom_bin: gains a drop argument to control whether or not 0 count bins should be removed * geom_path and...

...help you in translating the sp object to a >>>>> data.frame. Then you can use merge to join the two tables. The code bellow >>>>> illustrates this, although I think there are some problems in matching country >>>>> names. Another issue is that if you add coord_map(), something strange happens >>>>> with Antarctica (maybe a problem in shapefile order?). >>>>> >>>>> >>>>> >>>>> >>>>> >>>>> >>>>> >>>>> -- >>>> >&g...