choropleth: Create choropleth map

In spatialrisk: Calculating Spatial Risk

Create choropleth map

Description

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.

Usage

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(s)

Martin Haringa

Examples

test <- points_to_polygon(nl_provincie, insurance, sum(amount, na.rm = TRUE))
choropleth(test)
choropleth(test, id_name = "areaname", mode = "view")

spatialrisk documentation built on June 22, 2024, 12:24 p.m.