Learn R Programming

mapsf (version 0.1.1)

mf_choro: Plot a choropleth map

Description

Plot choropleth map.

Usage

mf_choro(
  x,
  var,
  pal = "Mint",
  breaks = "quantile",
  nbreaks,
  border,
  pch = 21,
  cex = 1,
  lwd = 0.7,
  col_na = "white",
  cex_na = 1,
  pch_na = 4,
  leg_pos = mf_get_leg_pos(x),
  leg_title = var,
  leg_title_cex = 0.8,
  leg_val_cex = 0.6,
  leg_val_rnd = 2,
  leg_no_data = "No data",
  leg_frame = FALSE,
  add
)

Arguments

x

object of class sf

var

name(s) of the variable(s) to plot

pal

a set of colors or a palette name (from hcl.colors)

breaks

either a numeric vector with the actual breaks, or a classification method name (see mf_get_breaks)

nbreaks

number of classes

border

border color

pch

pch type of pch if x is a POINT layer

cex

cex cex of the symbols if x is a POINT layer

lwd

border width

col_na

color for missing values

cex_na

cex for NA values if x is a POINT layer

pch_na

pch for NA values if x is a POINT layer

leg_pos

position of the legend, one of 'topleft', 'top','topright', 'right', 'bottomright', 'bottom', 'bottomleft', 'left' or a vector of two coordinates in map units (c(x, y)). If leg_pos is 'n' then the legend is not plotted.

leg_title

legend title

leg_title_cex

size of the legend title

leg_val_cex

size of the values in the legend

leg_val_rnd

number of decimal places of the values in the legend

leg_no_data

label for missing values

leg_frame

whether to add a frame to the legend (TRUE) or not (FALSE)

add

whether to add the layer to an existing plot (TRUE) or not (FALSE)

Value

No return value, a map is displayed.

Examples

Run this code
# NOT RUN {
mtq <- mf_get_mtq()
mf_choro(mtq, "MED")

mtq[6, "MED"] <- NA
mf_choro(
  x = mtq, var = "MED", col_na = "grey", pal = "Cividis",
  breaks = "quantile", nbreaks = 4, border = "white",
  lwd = .5, leg_pos = "topleft",
  leg_title = "Median Income", leg_title_cex = 1.1,
  leg_val_cex = 1, leg_val_rnd = -2, leg_no_data = "No data",
  leg_frame = TRUE
)
# }

Run the code above in your browser using DataLab