# Install packages
if (!requireNamespace("ggplot2", quietly = TRUE)) {
install.packages("ggplot2")
}if (!requireNamespace("RColorBrewer", quietly = TRUE)) {
install.packages("RColorBrewer")
}
# Load packages
library(ggplot2)
library(RColorBrewer)
France Map
Note
Hiplot website
This page is the tutorial for source code version of the Hiplot France Map
plugin. You can also use the Hiplot website to achieve no code ploting. For more information please see the following link:
Setup
System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages:
ggplot2
;RColorBrewer
Data Preparation
# Load data
<- read.delim("files/Hiplot/104-map-france-data.txt", header = T)
data <- readRDS("files/Hiplot/france.rds")
dt_map
# Convert data structure
$Value <- data$value[match(dt_map$ENG_NAME, data$name)]
dt_map
# View data
head(data)
name value
1 Bas-Rhin 338
2 Haut-Rhin 353
3 Dordogne 168
4 Gironde 158
5 Landes 221
6 Lot-et-Garonne 658
Visualization
# France Map
<- ggplot(dt_map) +
p geom_polygon(aes(x = long, y = lat, group = group, fill = Value),
alpha = 0.9, size = 0.5) +
geom_path(aes(x = long, y = lat, group = group), color = "black", size = 0.2) +
scale_fill_gradientn(
colours = colorRampPalette(rev(brewer.pal(11,"RdYlBu")))(500),
breaks = seq(min(data$value), max(data$value),
round((max(data$value)-min(data$value))/7)),
name = "Color Key",
guide = guide_legend(
direction = "vertical", keyheight = unit(1, units = "mm"),
keywidth = unit(8, units = "mm"),
title.position = "top", title.hjust = 0.5, label.hjust = 0.5,
nrow = 1, byrow = T, reverse = F, label.position = "bottom")) +
theme(text = element_text(color = "#3A3F4A"),
axis.text = element_blank(),
axis.ticks = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
legend.position = "top",
legend.text = element_text(size = 4 * 1.5, color = "black"),
legend.title = element_text(size = 5 * 1.5, color = "black"),
plot.title = element_text(
face = "bold", size = 5 * 1.5, hjust = 0.5,
margin = margin(t = 4, b = 5), color = "black"),
plot.background = element_rect(fill = "#FFFFFF", color = "#FFFFFF"),
panel.background = element_rect(fill = "#FFFFFF", color = NA),
legend.background = element_rect(fill = "#FFFFFF", color = NA),
plot.margin = unit(c(1.5, 1.5, 1.5, 1.5), "cm")) +
labs(x = NULL, y = NULL, title = "France Map")
p
