# 安装包
if (!requireNamespace("openair", quietly = TRUE)) {
install.packages("openair")
}
# 加载包
library(openair)
泰勒图
注记
Hiplot 网站
本页面为 Hiplot Taylor Diagram
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:
可以用于同时展示模型标准差(standard deviation, SD)、均方根(root mean square,RMS)误差和相关系数。
环境配置
系统: Cross-platform (Linux/MacOS/Windows)
编程语言: R
依赖包:
openair
数据准备
# 加载数据
<- selectByDate(mydata, year = 2003)
dat
# 整理数据格式
<- data.frame(date = mydata$date, obs = mydata$nox, mod = mydata$nox)
dat <- transform(dat, month = as.numeric(format(date, "%m")))
dat <- transform(dat, mod = mod + 10 * month + 10 * month * rnorm(nrow(dat)),
mod1 model = "model 1")
<- transform(mod1, mod = c(mod[5:length(mod)], mod[(length(mod) - 3) :
mod1 length(mod)]))
<- transform(dat, mod = mod + 7 * month + 7 * month * rnorm(nrow(dat)),
mod2 model = "model 2")
<- transform(dat, mod = mod + 3 * month + 3 * month * rnorm(nrow(dat)),
mod3 model = "model 3")
<- rbind(mod1, mod2, mod3)
mod.dat
# 查看数据
head(mod.dat)
date obs mod month model
1 1998-01-01 00:00:00 285 454.5395 1 model 1
2 1998-01-01 01:00:00 NA 281.4804 1 model 1
3 1998-01-01 02:00:00 NA 196.2472 1 model 1
4 1998-01-01 03:00:00 493 221.3372 1 model 1
5 1998-01-01 04:00:00 468 151.4479 1 model 1
6 1998-01-01 05:00:00 264 120.6350 1 model 1
可视化
# 泰勒图
TaylorDiagram(mod.dat, obs = "obs", mod = "mod", group = "model",
main = "Taylor diagram",
cols = c("#00468BFF","#8e6097","#BFACF0FF"))
