Static maps for France
mappingFR.Rd
Function 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
UK
object produced byFR
function. If object of classFR
, argumentsunit
,year
, andmatchWith
will 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.options
function
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).