Libraries / packages

This post is just a continuation of the previous post on animated and interactive maps. We will show four examples of maps created using {ggplot2} and {plotly}.

library(tidyverse)
library(gapminder)
library(echarts4r)
library(gganimate)
library(ggiraph)
library(widgetframe)
library(ggthemes)
library(plotly)
library(viridis)
library(DT)

Datasets

world <- map_data("world") %>%
  filter(region != "Antarctica")

gapminder_codes <- gapminder::country_codes

gapminder <-gapminder::gapminder_unfiltered


gapminder <- gapminder %>%
  inner_join(gapminder_codes, by= "country") %>%
  mutate(code = iso_alpha)

gapminder_data <- gapminder %>%
  inner_join(maps::iso3166 %>%
               select(a3, mapname), by= c(code = "a3")) %>%
  mutate(mapname = str_remove(mapname, "\\(.*"))

meteoritos <- readr::read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2019/2019-06-11/meteorites.csv")

options(scipen = 999) 

meteoritos_Mundo <- meteoritos %>%
  filter(fall == "Fell") %>%
  filter(year > 1800) %>%
  drop_na() %>%
  arrange(mass)

Example 1.

mapa_animado_1 <- world %>%
  ggplot() +
  geom_polygon(aes( x= long, y = lat, group = group),
               fill = "grey20",
               color = "white",
               size = 0.01) +
  geom_point(data= meteoritos_Mundo, 
             aes(x = long, 
                 y = lat, 
                 size = mass),
             color = "orange",
             alpha = 0.7) +
  labs( title = "Meteorite Landings \n from 1800 to 2013}",
        caption = "The Meteoritical Society") +
  theme_map() +
  scale_size_continuous(guide = F) +
  scale_color_discrete(name = "Type") +
  theme(plot.title = element_text(size = 10, hjust = 0.5))


fig_1 <- ggplotly(mapa_animado_1)

fig_1