rworldmap (version 1.01)

countriesCoarse: a coarse resolution world map, a vector map of 244 country boundaries,suitable for global maps

Description

A 'SpatialPolygonsDataFrame' [package "sp"] object containing a simplified world map. Polygons are attributed with country codes. 244 countries. Based on Natural Earth data.

Usage

data(countriesCoarse)

format

The format is: Formal class 'SpatialPolygonsDataFrame' [package "sp"] with 5 slots ..@ data :'data.frame': 244 obs. of 51 variables: .. ..$ ISO3 : Factor w/ 238 levels "-99","AFG","AGO",..: 1 1 1 1 1 1 2 3 4 5 ... .. ..$ ScaleRank : int [1:244] 5 1 1 1 1 1 1 1 1 1 ... .. ..$ LabelRank : int [1:244] 5 1 1 1 1 1 1 1 1 1 ... .. ..$ FeatureCla : Factor w/ 2 levels "Admin-0 countries",..: 1 1 1 1 1 1 1 1 1 1 ... .. ..$ SOVEREIGNT : Factor w/ 204 levels "Afghanistan",..: 8 80 169 182 137 112 1 4 2 160 ... .. ..$ SOV_A3 : Factor w/ 205 levels "AFG","AGO","ALB",..: 8 86 133 182 141 38 1 2 3 4 ... .. ..$ ADM0_DIF : num [1:244] 1 0 0 1 0 0 0 0 0 0 ... .. ..$ LEVEL : num [1:244] 2 2 2 2 2 2 2 2 2 2 ... .. ..$ TYPE : Factor w/ 7 levels "Country","County",..: 3 6 4 5 4 6 6 6 6 6 ... .. ..$ ADMIN : Factor w/ 253 levels "Afghanistan",..: 205 83 174 234 141 116 1 4 2 164 ... .. ..$ ADM0_A3 : Factor w/ 253 levels "AFG","AGO","ALB",..: 204 89 137 207 145 39 1 2 3 4 ... .. ..$ GEOU_DIF : num [1:244] 0 0 0 0 0 0 0 0 0 0 ... .. ..$ GEOUNIT : Factor w/ 253 levels "Afghanistan",..: 205 83 174 234 141 116 1 4 2 165 ... .. ..$ GU_A3 : Factor w/ 253 levels "AFG","AGO","ALB",..: 204 89 137 207 145 39 1 2 3 4 ... .. ..$ SU_DIF : num [1:244] 0 0 0 0 0 0 0 0 0 0 ... .. ..$ SUBUNIT : Factor w/ 253 levels "Afghanistan",..: 205 83 174 234 141 116 1 4 2 165 ... .. ..$ SU_A3 : Factor w/ 253 levels "AFG","AGO","ALB",..: 204 89 137 207 145 39 1 2 3 4 ... .. ..$ NAME : Factor w/ 250 levels "Afghanistan",..: 204 85 173 NA 144 109 1 4 2 165 ... .. ..$ ABBREV : Factor w/ 247 levels "Afg.","Alb.",..: 203 85 173 NA 143 108 1 4 2 163 ... .. ..$ POSTAL : Factor w/ 240 levels "A","AE","AF",..: 198 82 168 NA 138 33 3 5 4 2 ... .. ..$ NAME_FORMA : Factor w/ 196 levels "Arab Republic of Egypt",..: NA NA NA NA 114 NA 30 55 54 NA ... .. ..$ TERR_ : Factor w/ 15 levels "Commonwealth of U.S.A.",..: 8 NA 3 NA NA NA NA NA NA NA ... .. ..$ NAME_SORT : Factor w/ 253 levels "Afghanistan",..: 204 88 174 207 143 40 1 4 2 165 ... .. ..$ MAP_COLOR : num [1:244] 7 11 4 0 2 8 7 1 6 3 ... .. ..$ POP_EST : num [1:244] 4000 1804838 -99 6000 3500000 ... .. ..$ GDP_MD_EST : num [1:244] 0 5352 900 0 -99 ... .. ..$ FIPS_10_ : num [1:244] -99 0 -99 -99 -99 -99 0 0 0 0 ... .. ..$ ISO_A2 : Factor w/ 237 levels "-99","AE","AF",..: 1 1 1 1 1 1 3 6 4 2 ... .. ..$ ISO_A3 : Factor w/ 238 levels "-99","AFG","AGO",..: 1 1 1 1 1 1 2 3 4 5 ... .. ..$ ISO_N3 : num [1:244] -99 -99 -99 -99 -99 -99 4 24 8 784 ... .. ..$ ISO2 : Factor w/ 222 levels "AD","AE","AF",..: NA NA NA NA NA NA 3 9 6 2 ... .. ..$ Name : Factor w/ 232 levels "Afghanistan",..: NA NA NA NA NA NA 1 6 2 215 ... .. ..$ FIPS : Factor w/ 222 levels "AA","AC","AE",..: NA NA NA NA NA NA 4 10 7 3 ... ..@ polygons :List of 243

source

http://www.naturalearthdata.com/downloads/110m-cultural-vectors/110m-admin-0-countries/

Details

Derived fron version 1.4.0 of Natural Earth data 1:110 m data. Added in countries from the higher resolution data. The different country boundaries in rworldmap are processed from Natural Earth Data as follows : All : ~ rename any non-ASCII country names that cause R trouble ~ rename Curacao which is particularly troublesome ! ~ check polygon geometries using checkPolygonsHoles ~ set projections, e.g. proj4string(countriesCoarse) <- CRS("+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs") ~ set polygon IDs to country names (from ADMIN field) ~ copy ISO_A3 to ISO3 ~ replace missing ISO3 codes (6 in this version) with ADM0_A3 ~ check for duplicate ISO3 codes (2 in this version) ~ set ISO3 for Gaza to Gaza and 'Ashmore and Cartier Islands' to Ashm ~ replace POP_EST of -99 with NA ~ join on countryRegions data countriesCoarseLessIslands : ne_110 countriesCoarse : ne_110 plus extra countries from ne_50 plus Tuvalu from ne_10 countriesLow : ne_50 plus Tuvalu from ne_10 countriesHigh (in package rworldxtra) : ne_10

Examples

data(countriesCoarse)