## districts in the Regierungsbezirk Weser-Ems (longlat coordinates)
data("measlesWeserEms")
mapWE <- measlesWeserEms@map
li1 <- layout.labels(mapWE, labels = list(font=2, labels="GEN"))
li2 <- layout.scalebar(mapWE, corner = c(0.05, 0.05), scale = 20,
labels = c("0", "20 km"))
spplot(mapWE, zcol = "AREA", sp.layout = c(list(li1), li2),
col.regions = rev(heat.colors(100)), scales = list(draw = TRUE))
## districts in Bavaria (projected coordinates)
load(system.file("shapes", "districtsD.RData", package = "surveillance"))
bavaria <- districtsD[substr(row.names(districtsD), 1, 2) == "09", ]
sb <- layout.scalebar(bavaria, corner = c(0.75,0.9), scale = 50,
labels = c("0", "50 km"), cex = 0.8)
spplot(bavaria, zcol = "POPULATION", sp.layout = sb,
xlab = "x [km]", ylab = "y [km]", scales = list(draw = TRUE),
col.regions = rev(heat.colors(100)))
## these layout functions also work in the traditional graphics system
par(mar = c(0,0,0,0))
plot(bavaria, col = "lavender")
layout.scalebar(bavaria, corner = c(0.75, 0.9), scale = 50,
labels = c("0", "50 km"), plot = TRUE)
layout.labels(bavaria, labels = list(cex = 0.8,
labels = substr(bavaria$GEN, 1, 3)), plot = TRUE)
Run the code above in your browser using DataLab