In serafinialessio/mapping: Automatic Download, Linking, Manipulating Coordinates for Maps

knitr::opts_chunk$set(echo = TRUE,
                      collapse = TRUE, 
                      fig.width = 7, fig.height = 4, fig.align = "center",
                      message = FALSE, warning = FALSE)

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 |

DiagrammeR::grViz("
  digraph graph2 {

  graph [layout = dot, rankdir = LR]

  # node definitions with substituted label text
  node [shape = oval]
  a [label = 'continent']
  b [label = 'regions']
  c [label = 'subregion']
  d [label = 'country']


  d -> c -> b -> a
  }

  ",height = 100)

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)

serafinialessio/mapping documentation built on Jan. 30, 2024, 11:39 a.m.