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Demonstration code for plotting a graph of world cities along with country borders with the DiagrammeR R package.
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# Installation | |
#install.packages("devtools") | |
devtools::install_github("rich-iannone/DiagrammeR") | |
library(DiagrammeR) | |
# Create a graph of border coordinates | |
country_graph <- country_graph() | |
# Read in a CSV with location and population data for cities all over the world | |
world_cities <- | |
read.csv(system.file("examples/world_cities.csv", | |
package = "DiagrammeR"), | |
na.strings = "NANA", | |
header = TRUE, | |
stringsAsFactors = FALSE) | |
# Subset the data frame so that only cities with populations greater than | |
# 500,000 people remain | |
population_cities <- subset(world_cities, population > 500000) | |
# Create a node data frame with cities and their coordinates | |
city_nodes <- | |
create_nodes(nodes = 1:nrow(population_cities), | |
x = population_cities$longitude * 40, | |
y = population_cities$latitude * 40, | |
group = population_cities$country_code, | |
type = "city", | |
shape = "diamond") | |
# Add random edges between cities | |
city_edges <- | |
create_edges(from = sample(city_nodes$nodes, | |
nrow(population_cities)), | |
to = sample(city_nodes$nodes, | |
nrow(population_cities)), | |
color = "lightgreen", | |
width = 2) | |
# Make a city graph | |
city_graph <- create_graph(nodes_df = city_nodes, | |
edges_df = city_edges) | |
# Combine the city graph with the country graph | |
combined_graph <- combine_graphs(country_graph, city_graph) | |
# Render the cities along with the countries | |
render_graph(combined_graph, output = "visNetwork") |
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