The simplified version of the world map provided by Bjorn Sandvik, thematicmapping.org.
The map was imported in R as follows:
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require(maptools) world.map.simplified <- readShapeSpatial("~/TM_WORLD_BORDERS_SIMPL-0.3/TM_WORLD_BORDERS_SIMPL-0.3.shp") slot(world.map.simplified, 'data')[,'NAME'] <- iconv(slot(world.map.simplified, 'data')[,'NAME'], "latin1", "UTF-8") save(world.map.simplified, file="data/world.map.simplified.rda")
The result is a
SpatialPolygonsDataFrame object. Its data slot contains a data frame with 246 observations and 11 variable:
FIPS. FIPS 10-4 Country Code
ISO2. ISO 3166-1 Alpha-2 Country Code
ISO3. ISO 3166-1 Alpha-3 Country Code
UN. ISO 3166-1 Numeric-3 Country Code
NAME. Name of country/area
AREA. Land area, FAO Statistics (2002)
POP2005. Population, World Polulation Prospects (2005)
REGION. Macro geographical (continental region), UN Statistics
SUBREGION. Geographical sub-region, UN Statistics
Note from the TM_WORLD_BORDERS_SIMPL-0.3's README file:
Use this dataset with care, as several of the borders are disputed.
The original shapefile (world_borders.zip, 3.2 MB) was downloaded from the Mapping Hacks website: http://www.mappinghacks.com/data/. The dataset was derived by Schuyler Erle from public domain sources. Sean Gilles did some clean up and made some enhancements.
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