To get continents you can modify the last line of the coords2country
function using rworldmap
from this answer to create a coords2continent
function as shown below. Choose whether you want the 6 or 7 continent model. I'll think about putting this code into rworldmap
.
library(sp)
library(rworldmap)
# The single argument to this function, points, is a data.frame in which:
# - column 1 contains the longitude in degrees
# - column 2 contains the latitude in degrees
coords2continent = function(points)
{
countriesSP <- getMap(resolution='low')
#countriesSP <- getMap(resolution='high') #you could use high res map from rworldxtra if you were concerned about detail
# converting points to a SpatialPoints object
# setting CRS directly to that from rworldmap
pointsSP = SpatialPoints(points, proj4string=CRS(proj4string(countriesSP)))
# use 'over' to get indices of the Polygons object containing each point
indices = over(pointsSP, countriesSP)
#indices$continent # returns the continent (6 continent model)
indices$REGION # returns the continent (7 continent model)
#indices$ADMIN #returns country name
#indices$ISO3 # returns the ISO3 code
}
Here is a test.
points = data.frame(lon=c(0, 90, -45, -100, 130), lat=c(52, 40, -10, 45, -30 ))
coords2continent(points)
#[1] Europe Asia South America North America Australia
coords2country(points)
#[1] United Kingdom China Brazil United States of America Australia
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