View source: R/map_choropleth.R
| choropleth | R Documentation | 
Creates a choropleth map from an 'sf' object, typically produced
by points_to_polygon(). Polygons are shaded according to values in a
specified column, with clustering based on the Fisher–Jenks algorithm. This
method minimizes within-class variance and maximizes between-class variance,
making it a common choice for choropleth maps.
choropleth(
  sf_object,
  value = "output",
  id_name = "areaname",
  mode = "plot",
  n = 7,
  legend_title = "Clustering",
  palette = "viridis"
)
| sf_object | An object of class  | 
| value | A string giving the name of the column used to shade the polygons. | 
| id_name | A string giving the name of the column containing polygon IDs (used for tooltips in interactive mode). | 
| mode | A string indicating whether to create a static map
( | 
| n | Integer; number of clusters. Default is  | 
| legend_title | A string giving the legend title. | 
| palette | A palette name or vector of colors. See
 | 
The function uses the Fisher–Jenks algorithm
(style = "fisher") to classify values into n groups.
A tmap object (static or interactive, depending on
mode).
Martin Haringa
test <- points_to_polygon(nl_provincie, insurance, sum(amount, na.rm = TRUE))
choropleth(test)
choropleth(test, id_name = "areaname", mode = "view")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.