mappingDE: Static maps for Germany

Description

Function to produce static maps for Germany statistical unit.

Usage

mappingDE(data, var = NULL, colID = NULL, 
          type = c("static", "interactive"), 
          typeStatic = c("tmap", "choro.cart", "typo", "bar"), 
          unit = c("state", "district", "municipal", "municipality"), 
          matchWith = c("name", "code", "code_full"), dir = NULL, 
          add_text = NULL, subset = NULL, facets = NULL, 
          aggregation_fun = sum, aggregation_unit = NULL, 
          options = mapping.options())

Value

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

Arguments

data

a data.frame object with variables to display or a DE object produced by DE function. If object of class DE, arguments unit, year, and matchWith 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

matchWith

the type of id to check:

`"name"`	if unit names
`"code"`	if unit code
`"code_full"`	if unit complete 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 "DE" generated using the DE function, the argument unit, 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 municipal, we will have variables for larger aggregate unit, that is district and state variables. Look at DE 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").

Examples

Run this code


data("popDE")

de <- DE(data = popDE, colID = "code_state", 
         unit = "state", matchWith = "code_full", 
         check.unit.names = FALSE)

# \donttest{
###############
#   Statics   #
###############

mappingDE(data = de, var = "population_2020")


mappingDE(data = de, var = "population_2020", 
            subset = ~I(state == "bayern"))
  
# }


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

mappingDE(data = de, var = "population_2020", type = "interactive")

# \donttest{

  
  mappingDE(data = de, var = "population_2020", 
            subset = ~I(state == "bayern"), 
            type = "interactive")

# }