Put labels on a map.

labelLayer(spdf, df, spdfid = NULL, dfid = NULL, txt, col = "black",
  cex = 0.7, ...)

Arguments

spdf
a SpatialPointsDataFrame or a SpatialPolygonsDataFrame; if spdf is a SpatialPolygonsDataFrame texts are plotted on centroids.
df
a data frame that contains the labels to plot. If df is missing spdf@data is used instead.
spdfid
identifier field in spdf, default to the first column of the spdf data frame. (optional)
dfid
identifier field in df, default to the first column of df. (optional)
txt
labels field in df.
col
labels color.
cex
labels cex.
...
further text arguments, such as pos or adj.

See also

layoutLayer

Examples

data("nuts2006") # Layout plot layoutLayer( title = "Most Populated Countries of Europe", author = "", sources = "", scale = NULL,col = NA, coltitle = "black", frame = FALSE, bg = "#A6CAE0", south = TRUE, extent = nuts0.spdf)
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)