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minimap

A beautiful tile grid map is only a function call away! Tile grid maps are a great way to display geographic data when you want to represent regions with equal visual space. No shapefiles required, just supply a vector of postal abbreviations and a corresponding vector of colors. Built with base graphics.

If you’re unfamilar with tile grid maps, check out the examples below or see the following news articles:

Install

library(devtools)
install_github("seankross/minimap")

Demos

# La Patria Es Primero

library(minimap)
minimexico(mexico_abb, colorRampPalette(c("#006847", "white", "#CE1126"))(32), 
            estados_name_colors = rep("black", 32))
Mexico
# Legal Status of Same Sex Marriage in the United States (2008)

library(minimap)

determine_color <- function(status){
  if(status == "bbs")
    "#FFE597"
  else if(status == "nl")
    "#F1F1F0"
  else if (status == "dis")
    "#D0C7B9"
  else if(status == "bbca")
    "#FDC471"
  else
    "#817972"
}

ssm$color <- as.character(sapply(ssm$Status, determine_color))
ssm_2008 <- ssm[ssm$Year == 2008,]
miniusa(ssm_2008$State, state_colors = ssm_2008$color, state_names = TRUE,
        state_name_colors = rep("white", 51))
title(main = "Legal Status of Same Sex Marriage in 2008", line = -1)
USA
# Legal Status of Gay Marriage Over Time

library(minimap)

old_mai <- par()$mai
par(mai = c(0, 0, .75, .5), mfrow = c(2, 4))

for(i in 2008:2015){
  one_year <- ssm[ssm$Year == i,]
  miniusa(one_year$State, state_colors = one_year$color, state_names = FALSE)
  title(main = i, line = -2)
}

mtext("Legal Status of Gay Marriage Over Time", outer = TRUE, side = 3, line = -2)

par(mai = old_mai, mfrow = c(1, 1))
USA
# Forty Years of Canadian Milk Production

library(minimap)
library(dplyr)
library(RColorBrewer)
library(animation)

bin <- function(x){
  qs <- as.numeric(quantile(x, seq(0, 1, .1)))
  sapply(x, function(y){
    which(abs(qs-y)==min(abs(qs-y)))
  })
}

milk_year <- milk %>%
  group_by(Region, Year) %>%
  summarise(Total_kL = sum(Kiloliters)) 
  
max_milk <- milk_year %>%
  group_by(Region) %>%
  summarise(Max = max(Total_kL))
  
milk_year <- milk_year %>%
  left_join(max_milk) %>%
  group_by(Region) %>%
  mutate(Bin = bin(Total_kL)) %>%
  select(Region, Year, Bin)
  
missing_pt <- setdiff(canada_abb, unique(milk_year$Region))

missing_milk <- data.frame(Region = rep(missing_pt, each = 40), 
                           Year = rep(1976:2015, 3),
                           Bin = rep(0, 120), stringsAsFactors = FALSE)
milk_year <- rbind(milk_year, missing_milk)

milk_year$color <- sapply(milk_year$Bin, function(x){
  if(x == 0){
    "grey80"
  } else {
    brewer.pal(11, "PuOr")[x]
  }
})

ani.options(interval = 0.4, ani.width = 600, ani.height = 450)

saveGIF(
  for(i in 1976:2015){
    milkgif <- milk_year[milk_year$Year == i,]
    minicanada(milkgif$Region, pt_colors = milkgif$color, pt_name_cex = 1.5)
    title(main = paste("Canadian Milk Production in", i), line = -1)
  }
)
Canada
# Legal Status of Gay Marriage Over Time (gif)

library(minimap)
library(animation)

determine_color <- function(status){
  if(status == "bbs")
    "#FFE597"
  else if(status == "nl")
    "#F1F1F0"
  else if (status == "dis")
    "#D0C7B9"
  else if(status == "bbca")
    "#FDC471"
  else
    "#817972"
}

ssm$color <- as.character(sapply(ssm$Status, determine_color))

ani.options(interval = 0.5, ani.width = 600, ani.height = 450)

saveGIF(
  for(i in 1992:2015){
    one_year <- ssm[ssm$Year == i,]
    miniusa(one_year$State, state_colors = one_year$color)
    title(main = paste("Legal Status of Same Sex Marriage in", i), line = -1)
  }
)
USA

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.