China Map

Authors

[Editor] Hu Zheng;

[Contributors]

Note

Hiplot website

This page is the tutorial for source code version of the Hiplot China Map plugin. You can also use the Hiplot website to achieve no code ploting. For more information please see the following link:

https://hiplot.cn/basic/map-china?lang=en

Setup

System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages: ggplot2; RColorBrewer

# Install packages
if (!requireNamespace("ggplot2", quietly = TRUE)) {
  install.packages("ggplot2")
}
if (!requireNamespace("RColorBrewer", quietly = TRUE)) {
  install.packages("RColorBrewer")
}

# Load packages
library(ggplot2)
library(RColorBrewer)

Data Preparation

# Load data
data <- read.delim("files/Hiplot/100-map-china-data.txt", header = T)
dt_map <- readRDS("files/Hiplot/china.rds")

# Convert data structure
dt_map$Value <- data$value[match(dt_map$FCNAME, data$name)]

# View data
head(data)

    name value
1 安徽省  6118
2 福建省  3581
3 甘肃省  2617
4 广东省  9449
5 贵州省  3762
6 海南省   845

Visualization

# China Map
p <- ggplot(dt_map, aes(x = long, y = lat, group = group, fill = Value)) +
  labs(fill = "Value") +
  geom_polygon() +
  geom_path() +
  scale_fill_gradientn(
    colours = colorRampPalette(rev(brewer.pal(11,"RdYlBu")))(500),
    na.value = "grey10",
    limits = c(0, max(dt_map$Value) * 1.2)) +
    ggtitle("China Map Plot") +
  theme_minimal()

p