| rworldmap-package {rworldmap} | R Documentation |
For mapping global data.
Description
Enables mapping of country level and gridded user datasets by facilitating joining to modern world maps and offering visualisation options. Country borders are derived from Natural Earth data v 1.4.0.
Enables mapping of country level and gridded user datasets by facilitating joining to modern world maps and offering visualisation options. Country borders are derived from Natural Earth data v 1.4.0.
Details
| Package: | rworldmap |
| Type: | Package |
| Version: | 1.3-4 |
| Date: | 2014-11-11 |
| License: | GPL (>= 2) |
Country Level Data can be joined to a map using
joinCountryData2Map, then mapped using
mapCountryData. These functions can cope with a range of
country names and country codes.
Country boundaries are derived from version 1.4.0 of Natural Earth data as
described in countriesCoarse. Higher resolution boundaries are
provided in a companion package rworldxtra.
More generic functions allow the user to provide their own polygon map using
joinData2Map and mapPolys.
Bubble, bar and pie charts can be added to maps using
mapBubbles, mapBars and mapPies.
Try the new method barplotCountryData for producing a ranked
bar plot of country data with country names that can provide a useful
companion to maps.
Options are provided for categorising data, colouring maps and symbols, and adding legends.
Gridded data can be mapped using mapGriddedData, but the
raster package is much more comprehensive.
Type vignette('rworldmap') to access a short document showing a few examples of the main rworldmap functions to get you started.
Country Level Data can be joined to a map using
joinCountryData2Map, then mapped using
mapCountryData. These functions can cope with a range of
country names and country codes.
Country boundaries are derived from version 1.4.0 of Natural Earth data as
described in countriesCoarse. Higher resolution boundaries are
provided in a companion package rworldxtra.
More generic functions allow the user to provide their own polygon map using
joinData2Map and mapPolys.
Bubble, bar and pie charts can be added to maps using
mapBubbles, mapBars and mapPies.
Try the new method barplotCountryData for producing a ranked
bar plot of country data with country names that can provide a useful
companion to maps.
Options are provided for categorising data, colouring maps and symbols, and adding legends.
Gridded data can be mapped using mapGriddedData, but the
raster package is much more comprehensive.
Type vignette('rworldmap') to access a short document showing a few examples of the main rworldmap functions to get you started.
Author(s)
Andy South
with contributions from Joe Scutt-Phillips, Barry Rowlingson, Roger Bivand and Pru Foster
Maintainer: <southandy@gmail.com>
References
Stable version :
http://cran.r-project.org/web/packages/rworldmap
Development version :
https://r-forge.r-project.org/projects/rworldmap/
Discussion group : http://groups.google.com/group/rworldmap
Stable version :
http://cran.r-project.org/web/packages/rworldmap
Development version :https://github.com/AndySouth/rworldmap
Discussion group : http://groups.google.com/group/rworldmap
Examples
#mapping country level data, with no file specified it uses internal example data
mapCountryData()
#specifying region
mapCountryData(mapRegion="asia")
#mapping gridded data, with no file specified it uses internal example data
mapGriddedData()
#specifying region
mapGriddedData(mapRegion="africa")
#aggregating gridded data to country level
#with no file specified it uses internal example data
mapHalfDegreeGridToCountries()