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
Author
Martin Haringa
Examples
test <- points_to_polygon(nl_provincie, insurance, sum(amount, na.rm = TRUE)) #> 71 points fall not within a polygon. choropleth(test)choropleth(test, id_name = "areaname", mode = "view")