/mxmaps

An R package for making maps of Mexico

Primary LanguageROtherNOASSERTION

Mexico Choropleths

Diego Valle-Jones September 15, 2023

Master: R build status Coverage Status

Author: Diego Valle-Jones
License: BSD_3
Website: https://www.diegovalle.net/mxmaps/
Forum: Google Group

What does it do?

This package is based on choroplethr and can be used to easily create maps of Mexico at both the state and municipio levels. It also includes functions to create interactive maps using the leaflet package, map INEGI data from its API, and format strings so they match the INEGI state and municipio codes. Be sure to visit the official website.

Installation

For the moment this package is only available from github. For the development version:

if (!require(devtools)) {
    install.packages("devtools")
}
devtools::install_github('diegovalle/mxmaps')

Quick Example

library(mxmaps)

data("df_mxstate_2020")
df_mxstate_2020$value <- df_mxstate_2020$pop
mxstate_choropleth(df_mxstate_2020,
                    title = "Total population, by state") 

Data

The data.frame that you provide to the plotting functions must have one column named “region” and one column named “value”. The entries for “region” must match the INEGI codes for states (“01”, “02”, etc) and municipios (“01001”, “01002”, etc) either as a string with or without a leading “0” or as numerics. The functions str_mxstate and str_mxmunicipio are provided to easily format codes to the INEGI specification. Also, two example data.frames, df_mxstate_2020 and df_mxmunicipio_2020, are provided with demographic variables from the 2020 census.

data("df_mxstate_2020")
knitr::kable(head(df_mxstate_2020))
region state_name state_name_official state_abbr state_abbr_official year pop pop_male pop_female afromexican indigenous_language
01 Aguascalientes Aguascalientes AGS Ags. 2020 1425607 696683 728924 22425 2539
02 Baja California Baja California BC BC 2020 3769020 1900589 1868431 64362 49130
03 Baja California Sur Baja California Sur BCS BCS 2020 798447 405879 392568 26330 13581
04 Campeche Campeche CAMP Camp. 2020 928363 456939 471424 19319 91801
05 Coahuila Coahuila de Zaragoza COAH Coah. 2020 3146771 1563669 1583102 45976 5527
06 Colima Colima COL Col. 2020 731391 360622 370769 13574 5210
data("df_mxmunicipio_2020")
knitr::kable(head(df_mxmunicipio_2020))
state_code municipio_code region state_name state_name_official state_abbr state_abbr_official municipio_name year pop pop_male pop_female afromexican indigenous_language metro_area long lat
01 001 01001 Aguascalientes Aguascalientes AGS Ags. Aguascalientes 2020 948990 462073 486917 15170 1839 Aguascalientes -102.2960 21.87982
01 002 01002 Aguascalientes Aguascalientes AGS Ags. Asientos 2020 51536 25261 26275 225 22 NA -102.0893 22.23832
01 003 01003 Aguascalientes Aguascalientes AGS Ags. Calvillo 2020 58250 28563 29687 266 76 NA -102.7188 21.84691
01 004 01004 Aguascalientes Aguascalientes AGS Ags. Cosío 2020 17000 8292 8708 2155 7 NA -102.3000 22.36641
01 005 01005 Aguascalientes Aguascalientes AGS Ags. Jesús María 2020 129929 64219 65710 2543 158 Aguascalientes -102.3434 21.96127
01 006 01006 Aguascalientes Aguascalientes AGS Ags. Pabellón de Arteaga 2020 47646 23377 24269 482 52 NA -102.2765 22.14920

Municipios

Here’s another example showing Mexican municipios (similar to counties):

data("df_mxmunicipio_2020")
df_mxmunicipio_2020$value <-  df_mxmunicipio_2020$indigenous_language / df_mxmunicipio_2020$pop 
mxmunicipio_choropleth(df_mxmunicipio_2020, num_colors = 1,
                       title = "Percentage of the population that speaks\nan indigenous language")