这篇文章主要讲解了“怎么用R语言绘制Vonoroi图”,文中的讲解内容简单清晰,易于学习与理解,下面请大家跟着小编的思路慢慢深入,一起来研究和学习“怎么用R语言绘制Vonoroi图”吧!
deldir包绘制Voronoi图
#install.packages("deldir") library(deldir) # data set.seed(1) x <- runif(60) y <- runif(60) # Calculate Voronoi Tesselation and tiles tesselation <- deldir(x, y) tiles <- tile.list(tesselation) plot(tiles, pch = 19, border = "black", #边界颜色 showpoints = TRUE, #是否显示点 fillcol = hcl.colors(60, "Sunset")) #填充颜色
#改变图形的形状 #install.packages("polyclip") library(polyclip) # Circle环状 s <- seq(0, 2 * pi, length.out = 3000) circle <- list(x = 0.5 * (1 + cos(s)), y = 0.5 * (1 + sin(s))) plot(tiles, pch = 19, col.pts = "white", border = "black", fillcol = hcl.colors(60, "Sunset""), clipp = circle)
ggplot2绘制Voronoi图
library(ggvoronoi) library(ggplot2) set.seed(1) x <- sample(1:600, size = 100) y <- sample(1:600, size = 100) dist <- sqrt((x - 200) ^ 2 + (y - 200) ^ 2) df <- data.frame(x, y, dist = dist) ggplot(df, aes(x, y)) + stat_voronoi(geom = "path", color = 6, lwd = 0.7, linetype = 1) geom_point()
#添加热图 ggplot(df, aes(x, y, fill = dist)) + geom_voronoi() + geom_point() + scale_fill_gradient(low = "#20B2AA", high = "#9370DB") #颜色
#添加边界线 ggplot(df, aes(x, y, fill = dist)) + geom_voronoi() + stat_voronoi(geom = "path") + geom_point()+ scale_fill_gradient(low = "#20B2AA", high = "#9370DB") #theme(legend.position = "none") # 去掉右侧图例标签
感谢各位的阅读,以上就是“怎么用R语言绘制Vonoroi图”的内容了,经过本文的学习后,相信大家对怎么用R语言绘制Vonoroi图这一问题有了更深刻的体会,具体使用情况还需要大家实践验证。这里是亿速云,小编将为大家推送更多相关知识点的文章,欢迎关注!
免责声明:本站发布的内容(图片、视频和文字)以原创、转载和分享为主,文章观点不代表本网站立场,如果涉及侵权请联系站长邮箱:is@yisu.com进行举报,并提供相关证据,一经查实,将立刻删除涉嫌侵权内容。