The CRAN version can be loaded as follows:
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)