Static maps for USA

Function to produce static maps for USA unit.

Usage

mappingUS(data, var = NULL, colID = NULL,
          type = c("static", "interactive"),
          typeStatic = c("tmap", "choro.cart", "typo", "bar"),
          unit = c("country", "region", "division","state",
                   "county", "district", "district_county", "urban_area"),
          year = c("2018"), matchWith = c("name", "id", "number"),
          scale = c("20", "50", "500"), dir = NULL, show_us = TRUE,
          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 US object produced by US function
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 European statistical unit to check.
year: year of the unit
matchWith: the type of id to check if unit is set to "states"
scale: the scale of a map
dir: local directory in which shape files are stored
show_us: logical value set to TRUE indicating if the map entire map is drawn or only the coordinates linked to the input data
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 "US" generated using the US function, the arguments unit, year, and matchWith 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 state and region variables. Look at US 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").

Value

Return a map. For tmap type, the function also returns a tmap object.

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).

Examples


data("popUS")

us <- US(data = popUS, unit = "state")

###############
#   Statics   #
###############


mappingUS(data = us, var = "population")

#> Warning: Values have found that are less than the lowest break
#> Warning: Values have found that are higher than the highest break

mappingUS(data = us, var = "population",
          subset = ~I(id == "california" | id == "texas"))

mappingUS(data = us, var = "population",
          subset = ~I(id == "california" | id == "texas"), facets = "id")


# \donttest{
mappingUS(data = us, var = "population", typeStatic = "choro.cart")


###############
# Interactive #
###############


mappingUS(data = us, var = "population", type = "interactive")

mappingUS(data = us, var = "population", type = "interactive",
                      subset = ~I(id == "california" | id == "texas" | id == "new york" ))


# }