Function to produce static maps for United Kingdom statistical unit.
mappingUK(data, var = NULL, colID = NULL,
type = c("static", "interactive"),
typeStatic = c("tmap", "choro.cart", "typo", "bar"),
unit = c("country", "county"), year = c("2020", "2019"),
matchWith = c("name", "code"), scale = c("500", "20"),
dir = NULL, add_text = NULL, subset = NULL,
facets = NULL, aggregation_fun = sum, aggregation_unit = NULL,
options = mapping.options())Return a map. For tmap type, the function also returns a tmap object.
a data.frame object with variables to display or a UK object produced by UK function. If object of class UK, arguments unit, year, and matchWith will be ignored
character value(s) or columns number(s) indicating the variable to plot
character value or columns number indicating the column with unit names
if generates static or interactive map
type of static map
the type of Italian statistical unit
year of the unit
the type of id to check:
"name" | if unit names). |
"code" | if unit code |
the scale of a map
local directory in which shape files are stored
character name indicating the column with text labels
a formula indicating the condition to subset the data. See the details section
variable(s) name to split the data
function to use when data are aggregated
variable name by which the unit are aggregated
a list with options using mapping.options function
If data is a object of class "UK" generated using the UK function, the arguments unit, and year are ignored, because the object already contains the coordinates.
The aggregation_unit provides an aggregation for a user specified variable in data, or for larger statistical unit, automatically provided when the function link the data with the coordinates. For example, if data are of type county, we will have variables for larger aggregate unit, that is country variables. Look at UK for more details.
subset provide an expression to subsetting the data using a formula, with the logical operators. For example data can be subsetting as follows: ~I("Variable 1" == "condition 1" & "Variable 2" != "condition 2") or for example, ~I("Variable 1" > "condition 1" | "Variable 2" != "condition 2").
Giraud, T. and Lambert, N. (2016). cartography: Create and Integrate Maps in your R Workflow. JOSS, 1(4). doi: 10.21105/joss.00054.
Pebesma, E., 2018. Simple Features for R: Standardized Support for Spatial Vector Data. The R Journal 10 (1), 439-446, https://doi.org/10.32614/RJ-2018-009
Tennekes M (2018). “tmap: Thematic Maps in R.” _Journalstatisticaltical Software_, *84*(6), 1-39. doi: 10.18637/jss.v084.i06 (URL: https://doi.org/10.18637/jss.v084.i06).
mappingWR,mappingEU, mappingUS, mappingDE
data("popUK")
uk <- UK(data = popUK, unit = "county", matchWith = "code", check.unit.names = FALSE)
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