Create legends for maps and other graphics. Thematic maps need to be accompanied by legible legends to be fully comprehensible. This package offers a wide range of legends useful for cartography, some of which may also be useful for other types of graphics.
You can install the released version of maplegend from
CRAN with:
install.packages("maplegend")Alternatively, you can install the development version of
maplegend from GitHub (dev branch)
with:
remotes::install_github("riatelab/maplegend", ref = "dev")The main function is leg(). Its type
argument defines the legend type.
library(maplegend)
opar <- par(mar = c(1,1,1,1), mfrow = c(1,2))
plot.new()
plot.window(xlim = c(0, 1), ylim = c(0, 1), asp = 1)
leg(type = "prop", val = c(10, 50, 100), pos = "topleft")
leg(type = "choro", val = c(10, 20, 30, 40, 50), pos = "bottomleft")
leg(type = "typo", val = c("A", "B", "C"), pos = "top")
leg(type = "symb", val = c("A", "B", "C"), pos = "topright")
leg(type = "prop_line", val = c(5, 50, 100), pos = "bottom", lwd = 20)
leg(type = "grad_line", val = c(1, 4, 10, 15), pos = "bottomright", lwd = c(1, 5, 10))
box()
plot.new()
plot.window(xlim = c(0, 100), ylim = c(-50,50), asp = 1)
leg(type = "prop", val = c(10, 50, 100), pos = "topleft", horiz = TRUE)
leg(type = "choro", val = c(10, 20, 30, 40, 50), pos = "left", horiz = TRUE)
leg(type = "cont", val = c(10, 20, 30, 40, 50), pos = "bottomleft", horiz = TRUE)
leg(type = "cont", val = c(10, 20, 30, 40, 50), pos = c(75, 25), horiz = FALSE)
box()
It is possible to create composed legends with
leg_comp() and leg_draw().
opar <- par(mar = c(1,1,1,1))
plot.new()
plot.window(xlim = c(0, 1), ylim = c(0, 1), asp = 1)
leg_comp(type = "prop", val = c(10, 50, 100)) |>
leg_comp(type = "typo", val = c("A", "B", "C")) |>
leg_draw(pos = "top", bg = "lightblue", fg = "darkblue", frame_border = NA)
box()
par(opar)
This package is primarily intended as a backend for the construction
of legends in the mapsf package.
However, it can also be used independently from mapsf with
base plots or even with igraph plots.
One can contribute to the package through pull requests and
report issues or ask questions here.
This project uses conventional
commits and semantic
versioning.