# NOT RUN {
## Example 1
library(sp)
data("nuts2006")
nuts2.df$unemprate <- nuts2.df$unemp2008/nuts2.df$act2008*100
choroLayer(spdf = nuts2.spdf,
df = nuts2.df,
var = "unemprate")
## Example 2
nuts2.df$unemprate <- nuts2.df$unemp2008/nuts2.df$act2008*100
choroLayer(spdf = nuts2.spdf,
df = nuts2.df,
var = "unemprate",
method = "quantile",
nclass = 8,
col = carto.pal(pal1 = "turquoise.pal", n1 = 8),
border = "grey40",
add = FALSE,
legend.pos = "topright",
legend.title.txt = "Unemployement rate\n(%)",
legend.values.rnd = 1)
## Example 3
library(sf)
mtq <- st_read(system.file("shape/martinique.shp", package="cartography"))
# Compute the compound annual growth rate
mtq$cagr <- (((mtq$P13_POP / mtq$P08_POP)^(1/4)) - 1) * 100
summary(mtq$cagr)
# Plot the compound annual growth rate
cols <- carto.pal(pal1 = "blue.pal", n1 = 3, pal2 = "red.pal", n2 = 2)
choroLayer(x = mtq,
var = "cagr", breaks = c(-6.14,-2,-1,0,1,2),
col = cols,
border = "grey40",
add = FALSE,
legend.pos = "topleft",
legend.title.txt = "Compound annual\ngrowth rate",
legend.values.rnd = 2)
# Layout plot
layoutLayer(title = "Demographic Trends in Martinique, 2008-2013",
author = "INSEE, 2016", sources = "",
scale = NULL,
frame = TRUE,
col = "black",
coltitle = "white")
# }
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