countriesCoarse: a coarse resolution world map, a vector map of 244 country...

In rworldmap: Mapping global data, vector and raster.

Description

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

Derived from version 1.4.0 of Natural Earth data 1:110 m data. Missing countries at this resolution are added in from the higher resolution 1:50 m data so that these countries are included e.g. in mapBubbles.

Usage

data(countriesCoarse)

Format

The format is: Formal class 'SpatialPolygonsDataFrame' [package "sp"] with 5 slots

Details

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

Source

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

Examples

data(countriesCoarse)

Example output

Loading required package: sp
### Welcome to rworldmap ###
For a short introduction type : 	 vignette('rworldmap')

rworldmap documentation built on May 2, 2019, 4:50 p.m.