# NOT RUN {
library(sf)
opar <- par(mar = c(0,0,0,0))
mtq <- st_read(system.file("shape/martinique.shp", package="cartography"))
plot(st_geometry(mtq), col = "darkseagreen3", border = "darkseagreen4",
bg = "#A6CAE0")
labelLayer(x = mtq, txt = "LIBGEO", col= "black", cex = 0.7, font = 4,
halo = TRUE, bg = "white", r = 0.1,
overlap = FALSE, show.lines = FALSE)
par(opar)
library(sp)
data("nuts2006")
plot(nuts0.spdf, border = NA, col = NA, add = FALSE, bg = "#A6CAE0")
plot(world.spdf, col = "#E3DEBF", border=NA, add=TRUE)
plot(nuts0.spdf, col = "#D1914D",border = "white", lwd=1, add=TRUE)
# Selection of the 10 most populated countries of Europe
dflab <- nuts0.df[order(nuts0.df$pop2008, decreasing = TRUE),][1:10,]
# Label creation
dflab$lab <- paste(dflab$id, "\n", round(dflab$pop2008/1000000,0), "M", sep ="")
# Label plot of the 10 most populated countries
labelLayer(spdf = nuts0.spdf, df = dflab, txt = "lab",
col = "#690409", cex = 0.9, font = 2)
text(x = 5477360, y = 4177311, labels = "The 10 most populated countries of Europe
Total population 2008, in millions of inhabitants.",
cex = 0.7, adj = 0)
# Layout plot
layoutLayer(title = "Most Populated Countries of Europe",
author = "", sources = "",
scale = NULL, col = NA, coltitle = "black",
frame = FALSE, south = TRUE)
# }
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