# Install packages
if (!requireNamespace("ggplot2", quietly = TRUE)) {
install.packages("ggplot2")
}if (!requireNamespace("RColorBrewer", quietly = TRUE)) {
install.packages("RColorBrewer")
}
# Load packages
library(ggplot2)
library(RColorBrewer)
Africa Map
Note
Hiplot website
This page is the tutorial for source code version of the Hiplot Africa 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/096-map-africa-data.txt", header = T)
data <- readRDS("files/Hiplot/afr.rds")
dt_map
# Convert data structure
$Value <- data$value[match(dt_map$ADM0_NAME, data$region)]
dt_map
# View data
head(data)
region value
1 Sudan 258
2 Angola 911
3 Benin 318
4 Botswana 759
5 Burkina Faso 983
6 Cameroon 618
Visualization
# Africa 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(9, 985, 139),
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 = "Africa Map")
p
