# Install packages
if (!requireNamespace("ggplot2", quietly = TRUE)) {
install.packages("ggplot2")
}if (!requireNamespace("RColorBrewer", quietly = TRUE)) {
install.packages("RColorBrewer")
}
# Load packages
library(ggplot2)
library(RColorBrewer)
UK Map
Note
Hiplot website
This page is the tutorial for source code version of the Hiplot UK 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/113-map-uk-data.txt", header = T)
data <- readRDS("files/Hiplot/uk.rds")
dt_map
# Convert data structure
$Value <- data$value[match(dt_map$name, data$name)]
dt_map
# View data
head(data)
name value
1 Northern Ireland 691
2 Scotland 455
3 England 530
4 Wales 767
Visualization
# UK 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 = "UK Map")
p
