# 安装包
if (!requireNamespace("data.table", quietly = TRUE)) {
install.packages("data.table")
}
if (!requireNamespace("jsonlite", quietly = TRUE)) {
install.packages("jsonlite")
}
if (!requireNamespace("ggplot2", quietly = TRUE)) {
install.packages("ggplot2")
}
if (!requireNamespace("reshape2", quietly = TRUE)) {
install.packages("reshape2")
}
if (!requireNamespace("ggisoband", quietly = TRUE)) {
remotes::install_github("clauswilke/ggisoband")
}
if (!requireNamespace("cowplot", quietly = TRUE)) {
install.packages("cowplot")
}
# 加载包
library(data.table)
library(jsonlite)
library(ggplot2)
library(reshape2)
library(ggisoband)
library(cowplot)等高线图 (矩阵)
注记
Hiplot 网站
本页面为 Hiplot Contour (Matrix) 插件的源码版本教程,您也可以使用 Hiplot 网站实现无代码绘图,更多信息请查看以下链接:
等高图(矩阵)是一种以二维形式展示三维数据的图形。
环境配置
系统: Cross-platform (Linux/MacOS/Windows)
编程语言: R
依赖包:
data.table;jsonlite;ggplot2;reshape2;ggisoband;cowplot
sessioninfo::session_info("attached")─ Session info ───────────────────────────────────────────────────────────────
setting value
version R version 4.5.2 (2025-10-31)
os Ubuntu 24.04.3 LTS
system x86_64, linux-gnu
ui X11
language (EN)
collate C.UTF-8
ctype C.UTF-8
tz UTC
date 2026-01-28
pandoc 3.1.3 @ /usr/bin/ (via rmarkdown)
quarto 1.8.27 @ /usr/local/bin/quarto
─ Packages ───────────────────────────────────────────────────────────────────
package * version date (UTC) lib source
cowplot * 1.2.0 2025-07-07 [1] RSPM
data.table * 1.18.0 2025-12-24 [1] RSPM
ggisoband * 0.0.0.9000 2025-11-02 [1] Github (clauswilke/ggisoband@eef779f)
ggplot2 * 4.0.1 2025-11-14 [1] RSPM
jsonlite * 2.0.0 2025-03-27 [1] RSPM
reshape2 * 1.4.5 2025-11-12 [1] RSPM
[1] /home/runner/work/_temp/Library
[2] /opt/R/4.5.2/lib/R/site-library
[3] /opt/R/4.5.2/lib/R/library
* ── Packages attached to the search path.
──────────────────────────────────────────────────────────────────────────────
数据准备
载入数据为一个矩阵。
# 加载数据
data <- data.table::fread(jsonlite::read_json("https://hiplot.cn/ui/basic/contour-matrix/data.json")$exampleData$textarea[[1]])
data <- as.data.frame(data)
# 整理数据格式
data <- as.matrix(data)
colnames(data) <- NULL
data3d <- reshape2::melt(data)
names(data3d) <- c("x", "y", "z")
# 查看数据
head(data3d) x y z
1 1 1 100
2 2 1 101
3 3 1 102
4 4 1 103
5 5 1 104
6 6 1 105
可视化
# 等高线图 (矩阵)
complex_general_theme <-
theme(text = element_text(family = "Arial"),
plot.title = element_text(size = 12,hjust = 0.5),
axis.title = element_text(size = 12),
axis.text = element_text(size = 10),
axis.text.x = element_text(angle = 0, hjust = 0.5,vjust = 1),
legend.position = "right",
legend.direction = "vertical",
legend.title = element_text(size = 10),
legend.text = element_text(size = 10))
p1 <- ggplot(data3d, aes(x, y, z = z)) +
geom_isobands(
alpha = 1,
aes(color = stat(zmin)), fill = NA
) +
scale_color_viridis_c() +
coord_cartesian(expand = FALSE) +
theme_bw() +
complex_general_theme
p2 <- ggplot(data3d, aes(x, y, z = z)) +
geom_isobands(
alpha = 1,
aes(fill = stat(zmin)), color = NA
) +
scale_fill_viridis_c(guide = "legend") +
coord_cartesian(expand = FALSE) +
theme_bw() +
complex_general_theme
plot_grid(p1, p2, labels = c("A", "B"), label_size = 12)
等高线图 (矩阵)
黄色代表最高,深紫色代表最低,高度刻度范围是90-190。
