平滑的2D表面 [英] Smooth 2D surface
本文介绍了平滑的2D表面的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
library(ggplot2)
library(reshape2)
#plot2d = melt(c)
plot2d = melt(matrix(rnorm(20),5))#fake data
名称(plot2d)< -c(x,y,z)
v< - ggplot(plot2d,aes(x,y,z )=
v + geom_tile(aes(fill = z))+
scale_alpha_continuous(limits = c(start.point,end.point))+
scale_fill_gradient2('TYYYT',low =绿色,中等=白色,高=红色)
解决方案
library(ggplot2)
library (reshape2)
set.seed(101)
##设置dimnames,以便melt()选择它们
m < - matrix(rnorm(20 ),5,dimnames = list(x = 1:5,y = 1:4))
plot2d_1 < - melt(m,value.name =z)
gg0 < - ggplot(plot2d_1,aes(x,y,z = z,fill = z))
您也可以手动执行(双线性)插值,使用字段
包(有很多选项:例如库(SOS);
$ b
library(fields)
。 < --interp.surface.grid(list(x = 1:5,y = 1:4,z = m),
m2({bilinear interpolation})
grid.list = list(x = seq(1,5,length = 101) ,
y = seq(1,4,length = 101)))
dimnames(m2 $ z)< - list(x = m2 $ x,y = m2 $ y)
现在将其融化并重新绘制:
plot2d_2 < - melt(m2,value.name =z)
gg0%+%plot2d_2 + geom_tile()
嗯,插值似乎改变了z尺度 - 你应该小心......
I am wondering about the possibility to smooth the plot or make it somehow better, since now the pixels are too big.
library(ggplot2)
library(reshape2)
# plot2d = melt(c)
plot2d = melt(matrix(rnorm(20), 5)) # fake data
names(plot2d) <- c("x", "y", "z")
v <- ggplot(plot2d, aes(x, y, z = z))
v + geom_tile(aes(fill = z)) +
scale_alpha_continuous(limits=c(start.point, end.point)) +
scale_fill_gradient2('TYYYT',low="green", mid = "white", high="red")
解决方案
library(ggplot2)
library(reshape2)
set.seed(101)
## set dimnames so that melt() picks them up
m <- matrix(rnorm(20),5,dimnames=list(x=1:5,y=1:4))
plot2d_1 <- melt(m,value.name="z")
gg0 <- ggplot(plot2d_1, aes(x,y,z=z,fill=z))
The easiest way to smooth this plot is to use geom_raster()
with interpolate=TRUE
(see ?geom_tile
for other advantages).
gg0 + geom_raster(interpolate=TRUE)
You can also do (bilinear) interpolation by hand, using the fields
package (there are lots of options: e.g. library(sos); findFn("{bilinear interpolation}")
.
library(fields)
m2 <- interp.surface.grid(list(x=1:5,y=1:4,z=m),
grid.list=list(x=seq(1,5,length=101),
y=seq(1,4,length=101)))
dimnames(m2$z) <- list(x=m2$x,y=m2$y)
Now melt it and replot:
plot2d_2 <- melt(m2,value.name="z")
gg0 %+% plot2d_2 + geom_tile()
Hmm, the interpolation seems to have changed the z-scale - you should be careful with that ...
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