rworldmap (version 1.01)

countriesLow: a low resolution world map, a vector map of 244 country boundaries, suitable for zooming in on regions or large global maps

Description

A 'SpatialPolygonsDataFrame' [package "sp"] object containing country boundaries derived from Natural Earth data. Polygons are attributed with country codes.

Usage

data(countriesLow)

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","ABW","AFG",..: 1 1 1 1 1 1 2 3 4 5 ... .. ..$ ScaleRank : int [1:244] 1 1 1 5 1 1 3 1 1 1 ... .. ..$ LabelRank : int [1:244] 1 1 1 5 1 1 3 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",..: 91 130 87 10 198 164 124 1 5 189 ... .. ..$ SOV_A3 : Factor w/ 205 levels "AFG","AGO","ALB",..: 98 44 90 10 154 164 133 1 2 64 ... .. ..$ ADM0_DIF : num [1:244] 0 0 1 1 0 0 1 0 0 1 ... .. ..$ LEVEL : num [1:244] 2 2 2 2 2 2 2 2 2 2 ... .. ..$ TYPE : Factor w/ 7 levels "Country","County",..: 6 6 5 3 4 4 1 6 6 3 ... .. ..$ ADMIN : Factor w/ 253 levels "Afghanistan",..: 114 158 192 98 239 200 13 1 7 8 ... .. ..$ ADM0_A3 : Factor w/ 253 levels "ABW","AFG","AGO",..: 121 55 113 101 186 198 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",..: 114 158 192 98 239 200 13 1 7 8 ... .. ..$ GU_A3 : Factor w/ 253 levels "ABW","AFG","AGO",..: 121 55 113 101 186 198 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",..: 114 158 192 98 239 200 13 1 7 8 ... .. ..$ SU_A3 : Factor w/ 253 levels "ABW","AFG","AGO",..: 121 55 113 101 186 198 1 2 3 4 ... .. ..$ NAME : Factor w/ 250 levels "Afghanistan",..: 115 148 NA 99 236 198 13 1 7 8 ... .. ..$ ABBREV : Factor w/ 247 levels "A.C.Is.","Afg.",..: 114 145 NA 97 233 191 13 2 8 8 ... .. ..$ POSTAL : Factor w/ 240 levels "A","AE","AF",..: 112 43 NA 99 229 190 14 3 8 5 ... .. ..$ NAME_FORMA : Factor w/ 196 levels "Aland Islands",..: NA NA NA NA NA 143 NA 43 74 NA ... .. ..$ TERR_ : Factor w/ 15 levels "Assoc. with N.Z.",..: NA NA NA 2 7 NA 11 NA NA 12 ... .. ..$ NAME_SORT : Factor w/ 253 levels "Afghanistan",..: 119 57 113 100 239 202 13 1 7 8 ... .. ..$ MAP_COLOR : num [1:244] 11 8 0 7 4 2 9 7 1 3 ... .. ..$ POP_EST : num [1:244] 1804838 265100 6000 4000 -99 ... .. ..$ GDP_MD_EST : num [1:244] 5352 3600 0 0 900 ... .. ..$ FIPS_10_ : num [1:244] 0 -99 -99 -99 -99 -99 0 0 0 0 ... .. ..$ ISO_A2 : Factor w/ 237 levels "-99","AD","AE",..: 1 1 1 1 1 1 15 4 9 6 ... .. ..$ ISO_A3 : Factor w/ 238 levels "-99","ABW","AFG",..: 1 1 1 1 1 1 2 3 4 5 ... .. ..$ ISO_N3 : num [1:244] -99 -99 -99 -99 -99 -99 533 4 24 660 ... .. ..$ ISO2 : Factor w/ 222 levels "AD","AE","AF",..: NA NA NA NA NA NA 14 3 9 5 ... .. ..$ Name : Factor w/ 232 levels "Afghanistan",..: NA NA NA NA NA NA 11 1 6 7 ... .. ..$ FIPS : Factor w/ 222 levels "AA","AC","AE",..: NA NA NA NA NA NA 1 4 10 15 ... .. ..$ Numeric : num [1:244] NA NA NA NA NA NA 533 4 24 660 ... .. ..$ GEO3major : Factor w/ 6 levels "Africa","Asia and the Pacific",..: NA NA NA NA NA NA 5 3 2 5 ... .. ..$ GEO3 : Factor w/ 23 levels "Arabian Peninsula",..: NA NA NA NA NA NA 4 16 19 4 ... .. ..$ IMAGE24 : Factor w/ 25 levels "Asia-Stan","Brazil",..: NA NA NA NA NA NA 16 8 20 16 ... .. ..$ GLOCAF : Factor w/ 19 levels "Brazil","Canada",..: NA NA NA NA NA NA 12 14 17 12 ... .. ..$ Stern : Factor w/ 13 levels "Australasia",..: NA NA NA NA NA NA 2 4 11 2 ... .. ..$ SRESmajor : Factor w/ 4 levels "ALM","ASIA","OECD90",..: NA NA NA NA NA NA 1 2 1 1 ... .. ..$ SRES : Factor w/ 11 levels "Central and Eastern Europe (EEU)",..: NA NA NA NA NA NA 3 9 10 3 ... .. ..$ GBD : Factor w/ 21 levels "Asia Pacific, High Income",..: NA NA NA NA NA NA 7 4 18 7 ... .. ..$ AVOIDnumeric : num [1:244] NA NA NA NA NA NA 28 21 24 28 ... .. ..$ AVOIDname : Factor w/ 30 levels "Australia","Brazil",..: NA NA NA NA NA NA 4 19 27 4 ... .. ..$ Vulnerability.Name: Factor w/ 234 levels "Afghanistan",..: NA NA NA NA NA NA 11 1 6 7 ... .. ..$ GIS.Country : Factor w/ 234 levels "Afghanistan",..: NA NA NA NA NA NA 11 1 6 7 ... .. ..$ CNTRY_NAME : Factor w/ 233 levels "Afghanistan",..: NA NA NA NA NA NA 11 1 6 7 ... .. ..$ GMI_CNTRY : Factor w/ 225 levels "ABW","AFG","AGO",..: NA NA NA NA NA NA 1 2 3 4 ... .. ..$ LDC : Factor w/ 2 levels "LDC","other": NA NA NA NA NA NA 2 1 1 2 ... .. ..$ SID : Factor w/ 2 levels "other","SID": NA NA NA NA NA NA 2 1 1 2 ... .. ..$ LLDC : Factor w/ 2 levels "LLDC","other": NA NA NA NA NA NA 2 1 2 2 ... ..@ polygons :List of 243 ..@ plotOrder : int [1:243] 12 184 39 227 42 33 16 88 114 9 ... ..@ bbox : num [1:2, 1:2] -180 -90 180 83.6 .. ..- attr(*, "dimnames")=List of 2 .. .. ..$ : chr [1:2] "x" "y" .. .. ..$ : chr [1:2] "min" "max" ..@ proj4string:Formal class 'CRS' [package "sp"] with 1 slots .. .. ..@ projargs: chr NA

source

http://www.naturalearthdata.com/downloads/50m-cultural-vectors/

Details

Derived fron version 1.4.0 of Natural Earth data 1:50 m 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(countriesLow)