Skill: World Map (R)

Category

Hiplot

When to Use

Create a World Map using R with the Hiplot platform's approach. Suitable for biomedical data visualization with publication-quality output.

Required R Packages

• RColorBrewer
• data.table
• ggplot2
• jsonlite

Minimal Reproducible Code

# Load packages
library(RColorBrewer)
library(data.table)
library(ggplot2)
library(jsonlite)

# Prepare data
# Load data
data <- data.table::fread(jsonlite::read_json("https://hiplot.cn/ui/basic/map-world/data.json")$exampleData$textarea[[1]])
data <- as.data.frame(data)
dt_map <- readRDS(url("https://download.hiplot.cn/ui/basic/map-world/world.rds"))

# Convert data structure
dt_map$Value <- data$death_rate[match(dt_map$ENG_NAME, data$region)]

# View data
head(data)

# Create visualization
# World Map
p <- ggplot(dt_map) +
  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) +
  coord_fixed() +
  scale_fill_gradientn(
    colours = colorRampPalette(rev(brewer.pal(11,"RdYlBu")))(500),
    na.value = "grey10",
    limits = c(0, max(dt_map$Value) * 1.2)) +
    ggtitle("World Map Plot") +
  theme_minimal() +
  theme(plot.title = element_text(hjust = 0.5),
        legend.position = "bottom", legend.direction = "horizontal")

p

Key Parameters

• x: Maps long to the x aesthetic
• y: Maps lat to the y aesthetic
• group: Maps group to the group aesthetic
• fill: Maps Value to the fill aesthetic
• alpha: Controls transparency (0 = fully transparent, 1 = opaque)
• position: Position adjustment (identity, dodge, stack, fill)
• theme: Plot theme; tutorial uses theme_minimal()

Tips

• Use theme_minimal() or theme_bw() for clean, publication-ready plots
• Customize color scales with scale_fill_manual() or scale_color_brewer()
• See the full tutorial for additional customization options and advanced examples

Full Tutorial

https://openbiox.github.io/Bizard/Hiplot/116-map-world.html