mapping World

The CRAN version can be loaded as follows:

library('mapping')

or the development version from GitHub:

remotes::install_github('serafinialessio/mapping')

The worldwide geographical aggregates nomenclature are the following:

Function argument Aggregates Level
“continent” Continents level 0
“regions” World regions level 1
“subregion” World subregions level 2
“country” Countries level 3

where level 0 is the largest unit (continent), and level 4 the smallest unit.

Countries can be subdivided in other aggregates, based on type of economics or development

Function argument Type
“type” Classification based on the type of political entity
“type_economy” Classification based on the type of development
“type_income” Classification based on the type of income

and based on the belonging to some international organisation

Function argument Type
“nato” If is a NATO country
“ocde” If is a ICDE country

Level may have names expressed in different way. The package provides:

Names Code
Country names country
iso2 code iso2
iso3 code iso3
iso3 numeric iso3_numeric
iso3 United Nations iso3_un
iso2 World Bank iso2_wb
Formal name name_formal
World Bank name name_wb

This can be specified in matchWith argument, depending on the ids format in the input data.

wr_continent <- loadCoordWR(unit = "continent", res = "hi")
mappingWR(wr_continent)

wr_regions <- loadCoordWR(unit = "region", res = "hi")
mappingWR(wr_regions)

wr_subregion <- loadCoordWR(unit = "subregion", res = "hi")
mappingWR(wr_subregion)

wr_country <- loadCoordWR(unit = "country", res = "hi")
mappingWR(wr_country)

wr_nato <- loadCoordWR(unit = "nato", res = "hi")
mappingWR(wr_nato)

wr_ocde <- loadCoordWR(unit = "ocde", res = "hi")
mappingWR(wr_ocde)