I am overlaying a world map from the maps package onto a ggplot2 raster geometry. However, this raster is not centered on the prime meridian (0 deg
Here's a different approach. It works by:
maps package into a SpatialLines object with a geographical (lat-long) CRS.SpatialLines map into the Plate Carée (aka Equidistant Cylindrical) projection centered on the Prime Meridian. (This projection is very similar to a geographical mapping).rgeos package.)lon_0 in terminology taken from the PROJ_4 program used by spTransform() in the rgdal package).rgeos package.)This is obviously a lot of work, but leaves one with maps that are minimally truncated, and can be easily reprojected using spTransform(). To overlay these on top of raster images with base or lattice graphics, I first reproject the rasters, also using spTransform(). If you need them, grid lines and labels can likewise be projected to match the SpatialLines map.
library(sp)
library(maps)
library(maptools) ## map2SpatialLines(), pruneMap()
library(rgdal) ## CRS(), spTransform()
library(rgeos) ## readWKT(), gIntersects(), gBuffer(), gDifference()
## Convert a "maps" map to a "SpatialLines" map
makeSLmap <- function() {
llCRS <- CRS("+proj=longlat +ellps=WGS84")
wrld <- map("world", interior = FALSE, plot=FALSE,
xlim = c(-179, 179), ylim = c(-89, 89))
wrld_p <- pruneMap(wrld, xlim = c(-179, 179))
map2SpatialLines(wrld_p, proj4string = llCRS)
}
## Clip SpatialLines neatly along the antipodal meridian
sliceAtAntipodes <- function(SLmap, lon_0) {
## Preliminaries
long_180 <- (lon_0 %% 360) - 180
llCRS <- CRS("+proj=longlat +ellps=WGS84") ## CRS of 'maps' objects
eqcCRS <- CRS("+proj=eqc")
## Reproject the map into Equidistant Cylindrical/Plate Caree projection
SLmap <- spTransform(SLmap, eqcCRS)
## Make a narrow SpatialPolygon along the meridian opposite lon_0
L <- Lines(Line(cbind(long_180, c(-89, 89))), ID="cutter")
SL <- SpatialLines(list(L), proj4string = llCRS)
SP <- gBuffer(spTransform(SL, eqcCRS), 10, byid = TRUE)
## Use it to clip any SpatialLines segments that it crosses
ii <- which(gIntersects(SLmap, SP, byid=TRUE))
# Replace offending lines with split versions
# (but skip when there are no intersections (as, e.g., when lon_0 = 0))
if(length(ii)) {
SPii <- gDifference(SLmap[ii], SP, byid=TRUE)
SLmap <- rbind(SLmap[-ii], SPii)
}
return(SLmap)
}
## re-center, and clean up remaining streaks
recenterAndClean <- function(SLmap, lon_0) {
llCRS <- CRS("+proj=longlat +ellps=WGS84") ## map package's CRS
newCRS <- CRS(paste("+proj=eqc +lon_0=", lon_0, sep=""))
## Recenter
SLmap <- spTransform(SLmap, newCRS)
## identify remaining 'scratch-lines' by searching for lines that
## cross 2 of 3 lines of longitude, spaced 120 degrees apart
v1 <-spTransform(readWKT("LINESTRING(-62 -89, -62 89)", p4s=llCRS), newCRS)
v2 <-spTransform(readWKT("LINESTRING(58 -89, 58 89)", p4s=llCRS), newCRS)
v3 <-spTransform(readWKT("LINESTRING(178 -89, 178 89)", p4s=llCRS), newCRS)
ii <- which((gIntersects(v1, SLmap, byid=TRUE) +
gIntersects(v2, SLmap, byid=TRUE) +
gIntersects(v3, SLmap, byid=TRUE)) >= 2)
SLmap[-ii]
}
## Put it all together:
Recenter <- function(lon_0 = -100, grid=FALSE, ...) {
SLmap <- makeSLmap()
SLmap2 <- sliceAtAntipodes(SLmap, lon_0)
recenterAndClean(SLmap2, lon_0)
}
## Try it out
par(mfrow=c(2,2), mar=rep(1, 4))
plot(Recenter(-90), col="grey40"); box() ## Centered on 90w
plot(Recenter(0), col="grey40"); box() ## Centered on prime meridian
plot(Recenter(90), col="grey40"); box() ## Centered on 90e
plot(Recenter(180), col="grey40"); box() ## Centered on International Date Line
