joinCountryData2Map: Joins user country referenced data to a map
In rworldmap: Mapping global data, vector and raster.

Description Usage Arguments Details Value Author(s) See Also Examples

Joins user data referenced by country codes or names to an internal map, ready for plotting using mapCountryData. Reports join successes and failures.

joinCountryData2Map(dF
, joinCode = "ISO3" 
, nameJoinColumn = "ISO3V10"
, nameCountryColumn = "Country"
, suggestForFailedCodes = FALSE 
, mapResolution="coarse" 
, projection=NA #DEPRECATED
, verbose = FALSE   
)

`dF`	R data frame with at least one column for country reference and one column of data
`joinCode`	how countries are referenced options "ISO2","ISO3","FIPS","NAME", "UN" = numeric codes
`nameJoinColumn`	name of column containing country referencing
`nameCountryColumn`	optional name of column containing country names (used in reporting of success/failure)
`suggestForFailedCodes`	NOT YET ENABLED T/F whether you want system to suggest for failed codes
`projection`	DEPRECATED JUNE 2012
`mapResolution`	resolution of the borders in the internal map, only for projection='none' : options 'low', 'medium'
`verbose`	if set to FALSE it doesn't print progress messages to console

Joins data referenced by country codes to an internally stored map to enable plotting. The user specifies which country code their data are referenced by, and the name of the column in their data containing that referencing data. The user can choose from different map resolutions, using the function getMap to retrieve the map. The function reports on how many countries successfully join to the map. Data can then be plotted using mapCountryData. NEW to version 1.01 Oct 2012 : for joinCode='NAME' alternative country names are matched using countrySynonyms.

The projection argument has now been deprecated, you can project maps using package rgdal as shown below and in the FAQ.
library(rgdal)
#first get countries excluding Antarctica which crashes spTransform
sPDF <- getMap()[-which(getMap()$ADMIN=='Antarctica'),]
#transform to robin for the Robinson projection
sPDF <- spTransform(sPDF, CRS=CRS("+proj=robin +ellps=WGS84"))
mapCountryData( sPDF, nameColumnToPlot="REGION")

An R 'SpatialPolygonsDataFrame' [package "sp"] object with the passed data joined to it

andy south

mapCountryData, getMap

data("countryExData",envir=environment(),package="rworldmap")

sPDF <- joinCountryData2Map(countryExData
              , joinCode = "ISO3"
              , nameJoinColumn = "ISO3V10"
              )
mapCountryData( sPDF
              , nameColumnToPlot="BIODIVERSITY" 
              )