| countryRegions {rworldmap} | R Documentation |
Regional Classification Table
Description
A number of regional classifications exist, e.g. SRES, Stern, etc. This table can be used to find which grouping a country belongs to, given its country code. A variety of different codes or groupings can be used.
Format
A data frame with the following variables.
- ISO3
ISO 3 letter country code
- ADMIN
country name
- REGION
7 region continent classification
- continent
6 continents classification
- GEO3major
Global Environment Outlook GEO3 major region names
- GEO3
Global Environment Outlook GEO3 major region names
- IMAGE24
Image24 region names
- GLOCAF
GLOCAF region names
- Stern
Stern report region names
- SRESmajor
SRES major region names
- SRES
SRES region names
- GBD
Global Burden of Disease GBD region names
- AVOIDnumeric
numeric codes for AVOID regions
- AVOIDname
AVOID regions
- LDC
UN Least Developed Countries
- SID
UN Small Island Developing states
- LLDC
UN Landlocked Developing Countries
Details
Joined onto vector country maps. Used by country2Region and
mapByRegion.
Examples
data(countryRegions,envir=environment(),package="rworldmap")
str(countryRegions)
#joining example data onto the regional classifications
data(countryExData,envir=environment(),package="rworldmap")
dF <- merge(countryExData,countryRegions,by.x='ISO3V10',by.y='ISO3')
#plotting ENVHEALTH for Least Developed Countries (LDC) against others
#plot( dF$ENVHEALTH ~ dF$LDC)
#points( y=dF$ENVHEALTH, x=dF$LDC)