Takes an object produced by points_to_polygon(), and creates the corresponding choropleth map. The given clustering is according to the Fisher-Jenks algorithm. This commonly used method for choropleths seeks to reduce the variance within classes and maximize the variance between classes.

choropleth(
  sf_object,
  value = "output",
  id_name = "areaname",
  mode = "plot",
  n = 7,
  legend_title = "Clustering",
  palette = "viridis"
)

Arguments

sf_object

object of class sf

value

column name to shade the polygons

id_name

column name of ids to plot

mode

choose between static ('plot' is default) and interactive map ('view')

n

number of clusters (default is 7)

legend_title

title of legend

palette

palette name or a vector of colors. See tmaptools::palette_explorer() for the named palettes. Use a "-" as prefix to reverse the palette. The default palette is "viridis".

Value

tmap

Examples

test <- points_to_polygon(nl_provincie, insurance, sum(amount, na.rm = TRUE))
#> 71 points fall not within a polygon.
choropleth(test)
#> Linking to GEOS 3.7.2, GDAL 2.4.2, PROJ 5.2.0
choropleth(test, id_name = "areaname", mode = "view")