Similar to coord_map but uses the PROJ.4 library/package for projection transformation

Source: R/coord_proj.r

The representation of a portion of the earth, which is approximately spherical, onto a flat 2D plane requires a projection. This is what coord_proj does, using the proj4::project() function from the proj4 package.

coord_proj(proj = NULL, inverse = FALSE, degrees = TRUE,
  ellps.default = "sphere", xlim = NULL, ylim = NULL)

Arguments

proj

projection definition. If left NULL will default to a Robinson projection
inverse

if TRUE inverse projection is performed (from a cartographic projection into lat/long), otherwise projects from lat/long into a cartographic projection.
degrees

if TRUE then the lat/long data is assumed to be in degrees, otherwise in radians
ellps.default

default ellipsoid that will be added if no datum or ellipsoid parameter is specified in proj. Older versions of PROJ.4 didn't require a datum (and used sphere by default), but 4.5.0 and higher always require a datum or an ellipsoid. Set to NA if no datum should be added to proj (e.g. if you specify an ellipsoid directly).
xlim

manually specify x limits (in degrees of longitude)
ylim

manually specify y limits (in degrees of latitude)

Details

A sample of the output from coord_proj() using the Winkel-Tripel projection: Figure: coordproj01.png

Note

It is recommended that you use geom_cartogram with this coordinate system

When inverse is FALSE coord_proj makes a fairly large assumption that the coordinates being transformed are within -180:180 (longitude) and -90:90 (latitude). As such, it truncates all longitude & latitude input to fit within these ranges. More updates to this new coord_ are planned.

Examples

# NOT RUN {
# World in Winkel-Tripel

# U.S.A. Albers-style
usa <- world[world$region == "USA",]
usa <- usa[!(usa$subregion %in% c("Alaska", "Hawaii")),]

gg <- ggplot()
gg <- gg + geom_cartogram(data=usa, map=usa,
                    aes(x=long, y=lat, map_id=region))
gg <- gg + coord_proj(
             paste0("+proj=aea +lat_1=29.5 +lat_2=45.5 +lat_0=37.5 +lon_0=-96",
                    " +x_0=0 +y_0=0 +ellps=GRS80 +datum=NAD83 +units=m +no_defs"))
gg

# Showcase Greenland (properly)
greenland <- world[world$region == "Greenland",]

gg <- ggplot()
gg <- gg + geom_cartogram(data=greenland, map=greenland,
                    aes(x=long, y=lat, map_id=region))
gg <- gg + coord_proj(
             paste0("+proj=stere +lat_0=90 +lat_ts=70 +lon_0=-45 +k=1 +x_0=0",
                    " +y_0=0 +ellps=WGS84 +datum=WGS84 +units=m +no_defs"))
gg
# }