Static maps for France
mappingFR.RdFunction to produce static maps for France statistical unit.
Usage
mappingFR(data, var = NULL, colID = NULL,
type = c("static", "interactive"),
typeStatic = c("tmap", "choro.cart", "typo", "bar"),
unit = c("region"), year = c("2021", "2020", "2019"),
matchWith = c("name", "code"),
dir = NULL, add_text = NULL, subset = NULL, facets = NULL,
aggregation_fun = sum, aggregation_unit = NULL,
options = mapping.options())Arguments
- data
a data.frame object with variables to display or a
UKobject produced byFRfunction. If object of classFR, argumentsunit,year, andmatchWithwill be ignored- var
character value(s) or columns number(s) indicating the variable to plot
- colID
character value or columns number indicating the column with unit names
- type
if generates static or interactive map
- typeStatic
type of static map
- unit
the type of Italian statistical unit
- year
year of the unit
- matchWith
the type of id to check:
"name"if unit names). "code"if unit code - dir
local directory in which shape files are stored
- add_text
character name indicating the column with text labels
- subset
a formula indicating the condition to subset the data. See the details section
- facets
variable(s) name to split the data
- aggregation_fun
function to use when data are aggregated
- aggregation_unit
variable name by which the unit are aggregated
- options
a list with options using
mapping.optionsfunction
Details
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.
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").
References
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).
