library(mxmaps)
data("df_mxstate_2020")
df_mxstate_2020$value <- df_mxstate_2020$pop
mxstate_choropleth(df_mxstate_2020,
title = "Total population, by state")
library(mxmaps)
library(viridis)
library(scales)
df_mxstate_2020$value <- df_mxstate_2020$indigenous_language /
df_mxstate_2020$pop
gg = MXStateChoropleth$new(df_mxstate_2020)
gg$title <- "Percentage of the population that speaks\nan indigenous language"
gg$set_num_colors(1)
gg$ggplot_scale <- scale_fill_viridis("percent", labels = percent)
gg$render()
library("geojsonio")
library("ggplot2")
library("rgdal")
library("rgeos")
library("maptools")
library("ggrepel")
library("sf")
df_mxstate_2020$value <- df_mxstate_2020$indigenous_language /
df_mxstate_2020$pop * 100
p <- mxstate_choropleth(df_mxstate_2020,
num_colors = 1,
title = "Percentage of the population that speaks\nan indigenous language",
legend = "%")
data("mxstate.topoJSON")
data("df_mxstate_2020")
tmpdir <- tempdir()
# have to use RJSONIO or else the topojson isn't valid
write(RJSONIO::toJSON(mxstate.topoJSON), file.path(tmpdir, "state.topojson"))
states <- topojson_read(file.path(tmpdir, "state.topojson"))
# convert to SpatialPolygonsDataFrame
states <- as_Spatial(states)
# make sure the coordinates of the labels are in the correct order
df_mxstate_2020 <- cbind(df_mxstate_2020,
data.frame(lon = coordinates(states[match(df_mxstate_2020$region, states$id),])[,1],
lat = coordinates(states[match(df_mxstate_2020$region, states$id),])[,2]))
df_mxstate_2020$group <- df_mxstate_2020$state_abbr
p +
geom_text_repel(data = df_mxstate_2020,
aes(lon, lat, label = state_abbr,),
size = 3,
box.padding = unit(0.1, 'lines'),
force = 0.1)
Add a legend for states with NA values
df_mxstate_2020$value <- df_mxstate_2020$indigenous_language /
df_mxstate_2020$pop * 100
df_mxstate_2020$value[1:5] <- NA
mxstate_choropleth(df_mxstate_2020,
num_colors = 1,
title = "Percentage of the population that speaks\nan indigenous language",
legend = "%") +
# Add a fake color scale which we'll change to 'no data'
geom_point(data = df_mxmunicipio_2020[1,],
size = -1,
aes(color = "",
group = NA, lat = lat, long = long)) +
scale_color_manual(values = NA) +
guides(color=guide_legend("no data",
override.aes=list(color = "black",
shape = 15,
size = 7)))