Michael Dunn - 2 years ago 157
R Question

# Fixing maps library data for Pacific centred (0°-360° longitude) display

I'm plotting some points on a map of the world using the R

`maps`
package, something like:

The command to draw the base map is:

``````map("world", fill=TRUE, col="white", bg="gray", ylim=c(-60, 90), mar=c(0,0,0,0))
``````

But I need to display Pacific centred map. I use
`map("world2",`
etc to use the Pacific centred basemap from the maps package, and convert the coordinates of the data points in my dataframe (
`df`
) with:

``````df\$longitude[df\$longitude < 0] = df\$longitude[df\$longitude < 0] + 360
``````

This works if I don't use the
`fill`
option, but with
`fill`
the polygons which cross 0° cause problems.

I guess I need to transform the polygon data from the
`maps`
library somehow to sort this out, but I have no idea how to get at this.

My ideal solution would be to draw a maps with a left boundary at -20° and a right boundary at -30° (i.e. 330°). The following gets the correct points and coastlines onto the map, but the crossing-zero problem is the same

``````df\$longitude[df\$longitude < -20] = df\$longitude[d\$longitude < -20] + 360
map("world", fill=TRUE, col="white", bg="gray", mar=c(0,0,0,0),
ylim=c(-60, 90), xlim=c(-20, 330))
map("world2", add=TRUE, col="white", bg="gray", fill=TRUE, xlim=c(180, 330))
``````

Any help would be greatly appreciated.

You could use the fact that internally, a `map` object returned by the `map()` function can be recalculated and used again in the `map()` function. I'd create a list with individual polygons, check which ones have very different longitude values, and rearrange those ones. I gave an example of this approach in the function below*, which allows something like :

``````plot.map("world", center=180, col="white",bg="gray",
fill=TRUE,ylim=c(-60,90),mar=c(0,0,0,0))
``````

to get

If I were you, I'd shift everything a bit more, like in :

``````plot.map("world", center=200, col="white",bg="gray",
fill=TRUE,ylim=c(-60,90),mar=c(0,0,0,0))
``````

The function :

``````plot.map<- function(database,center,...){
Obj <- map(database,...,plot=F)
coord <- cbind(Obj[[1]],Obj[[2]])

# split up the coordinates
id <- rle(!is.na(coord[,1]))
id <- matrix(c(1,cumsum(id\$lengths)),ncol=2,byrow=T)
polygons <- apply(id,1,function(i){coord[i[1]:i[2],]})

# split up polygons that differ too much
polygons <- lapply(polygons,function(x){
x[,1] <- x[,1] + center
x[,1] <- ifelse(x[,1]>180,x[,1]-360,x[,1])
if(sum(diff(x[,1])>300,na.rm=T) >0){
id <- x[,1] < 0
x <- rbind(x[id,],c(NA,NA),x[!id,])
}
x
})
# reconstruct the object
polygons <- do.call(rbind,polygons)
Obj[[1]] <- polygons[,1]
Obj[[2]] <- polygons[,2]

map(Obj,...)
}
``````

*Note that this function only takes positive center values. It's easily adapted to allow for center values in both directions, but I didn't bother anymore as that's trivial.

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