当前位置： 文江博客话题详情

R：根据 x、y、z 绘制 3D 表面

发布于 2024-09-28 07:26:44 字数 382 浏览 8 评论 0原文

想象我有一个 3 列矩阵
x、y、z 其中 z 是 x 和 y 的函数。

我知道如何绘制这些点的“散点图” plot3d(x,y,z)

但是如果我想要一个表面，我必须使用其他命令，例如 surface3d 问题是它不接受与plot3d相同的输入 似乎需要一个矩阵，

(nº elements of z) = (n of elements of x) * (n of elements of x)

我怎样才能得到这个矩阵？ 我尝试过使用命令 interp，就像我需要使用等值线图时所做的那样。

如何直接从 x,y,z 绘制曲面而不计算该矩阵？ 如果我有太多点，这个矩阵就会太大。

干杯

原文

imagine I have a 3 columns matrix
x, y, z
where z is a function of x and y.

I know how to plot a "scatter plot" of these points with
plot3d(x,y,z)

But if I want a surface instead I must use other commands such as surface3d
The problem is that it doesn't accept the same inputs as plot3d
it seems to need a matrix with

(nº elements of z) = (n of elements of x) * (n of elements of x)

How can I get this matrix?
I've tried with the command interp, as I do when I need to use contour plots.

How can I plot a surface directly from x,y,z without calculating this matrix?
If I had too many points this matrix would be too big.

cheers

如果你对这篇内容有疑问，欢迎到本站社区发帖提问 参与讨论，获取更多帮助，或者扫码二维码加入 Web 技术交流群。

扫码二维码加入Web技术交流群

发布评论

需要 登录 才能够评论， 你可以免费 注册 一个本站的账号。

评论（5）

尾戒 2024-10-05 07:26:44

如果您的 x 和 y 坐标不在网格上，那么您需要将 x、y、z 曲面插值到网格上。您可以使用任何地质统计学包（geoR、gstat 等）或更简单的技术（例如反距离加权）通过克里金法来完成此操作。

我猜你提到的“interp”函数来自 akima 包。请注意，输出矩阵与输入点的大小无关。如果需要，您的输入中可以有 10000 个点，并将其插值到 10x10 网格上。默认情况下 akima::interp 在 40x40 网格上执行此操作：

require(akima)
require(rgl)

x = runif(1000)
y = runif(1000)
z = rnorm(1000)
s = interp(x,y,z)
> dim(s$z)
[1] 40 40
surface3d(s$x,s$y,s$z)

这会看起来尖刻且垃圾，因为它的数据是随机的。希望你的数据不是！

If your x and y coords are not on a grid then you need to interpolate your x,y,z surface onto one. You can do this with kriging using any of the geostatistics packages (geoR, gstat, others) or simpler techniques such as inverse distance weighting.

I'm guessing the 'interp' function you mention is from the akima package. Note that the output matrix is independent of the size of your input points. You could have 10000 points in your input and interpolate that onto a 10x10 grid if you wanted. By default akima::interp does it onto a 40x40 grid:

require(akima)
require(rgl)

x = runif(1000)
y = runif(1000)
z = rnorm(1000)
s = interp(x,y,z)
> dim(s$z)
[1] 40 40
surface3d(s$x,s$y,s$z)

That'll look spiky and rubbish because its random data. Hopefully your data isnt!

回复 原文
油饼 2024-10-05 07:26:44

您可以使用函数 outer() 来生成它。

看一下函数 persp() 的演示，它是一个用于绘制曲面透视图的基本图形函数。

这是他们的第一个示例：

x <- seq(-10, 10, length.out = 50)  
y <- x  
rotsinc <- function(x,y) {
    sinc <- function(x) { y <- sin(x)/x ; y[is.na(y)] <- 1; y }  
    10 * sinc( sqrt(x^2+y^2) )  
}

z <- outer(x, y, rotsinc)  
persp(x, y, z)

这同样适用于 surface3d()：

require(rgl)  
surface3d(x, y, z)

You can use the function outer() to generate it.

Have a look at the demo for the function persp(), which is a base graphics function to draw perspective plots for surfaces.

Here is their first example:

x <- seq(-10, 10, length.out = 50)  
y <- x  
rotsinc <- function(x,y) {
    sinc <- function(x) { y <- sin(x)/x ; y[is.na(y)] <- 1; y }  
    10 * sinc( sqrt(x^2+y^2) )  
}

z <- outer(x, y, rotsinc)  
persp(x, y, z)

The same applies to surface3d():

require(rgl)  
surface3d(x, y, z)
回复 原文
我的影子我的梦 2024-10-05 07:26:44

你可以看看使用莱迪思。在此示例中，我定义了一个网格，我想在其上绘制 z~x,y。它看起来像这样。请注意，大部分代码只是构建一个我使用线框函数绘制的 3D 形状。

变量“b”和“s”可以是x或y。

require(lattice)

# begin generating my 3D shape
b <- seq(from=0, to=20,by=0.5)
s <- seq(from=0, to=20,by=0.5)
payoff <- expand.grid(b=b,s=s)
payoff$payoff <- payoff$b - payoff$s
payoff$payoff[payoff$payoff < -1] <- -1
# end generating my 3D shape


wireframe(payoff ~ s * b, payoff, shade = TRUE, aspect = c(1, 1),
    light.source = c(10,10,10), main = "Study 1",
    scales = list(z.ticks=5,arrows=FALSE, col="black", font=10, tck=0.5),
    screen = list(z = 40, x = -75, y = 0))

You could look at using Lattice. In this example I have defined a grid over which I want to plot z~x,y. It looks something like this. Note that most of the code is just building a 3D shape that I plot using the wireframe function.

The variables "b" and "s" could be x or y.

require(lattice)

# begin generating my 3D shape
b <- seq(from=0, to=20,by=0.5)
s <- seq(from=0, to=20,by=0.5)
payoff <- expand.grid(b=b,s=s)
payoff$payoff <- payoff$b - payoff$s
payoff$payoff[payoff$payoff < -1] <- -1
# end generating my 3D shape


wireframe(payoff ~ s * b, payoff, shade = TRUE, aspect = c(1, 1),
    light.source = c(10,10,10), main = "Study 1",
    scales = list(z.ticks=5,arrows=FALSE, col="black", font=10, tck=0.5),
    screen = list(z = 40, x = -75, y = 0))
回复 原文
扛刀软妹 2024-10-05 07:26:44

rgl 很棒，但需要进行一些实验才能获得正确的轴。

如果您有很多点，为什么不从中随机采样，然后绘制所得的曲面。您可以添加多个基于相同数据样本的表面，以查看采样过程是否严重影响您的数据。

所以，这是一个非常可怕的函数，但它做了我认为你想要它做的事情（但没有采样）。给定一个矩阵 (x, y, z)，其中 z 是高度，它将绘制点和曲面。限制是每一对 (x,y) 只能有一个 z。因此，自行循环的飞机会引起问题。

plot_points = T 将绘制构成曲面的各个点 - 这对于检查曲面和点是否实际相交非常有用。 plot_contour = T 将在 3d 可视化下方绘制 2d 等高线图。将颜色设置为彩虹以提供漂亮的颜色，其他任何颜色都会将其设置为灰色，但是您可以更改该函数以提供自定义调色板。无论如何，这对我有用，但我确信它可以被整理和优化。 verbose = T 打印出大量输出，我用它们在函数中断时对其进行调试。

plot_rgl_model_a <- function(fdata, plot_contour = T, plot_points = T, 
                             verbose = F, colour = "rainbow", smoother = F){
  ## takes a model in long form, in the format
  ## 1st column x
  ## 2nd is y,
  ## 3rd is z (height)
  ## and draws an rgl model

  ## includes a contour plot below and plots the points in blue
  ## if these are set to TRUE

  # note that x has to be ascending, followed by y
  if (verbose) print(head(fdata))

  fdata <- fdata[order(fdata[, 1], fdata[, 2]), ]
  if (verbose) print(head(fdata))
  ##
  require(reshape2)
  require(rgl)
  orig_names <- colnames(fdata)
  colnames(fdata) <- c("x", "y", "z")
  fdata <- as.data.frame(fdata)

  ## work out the min and max of x,y,z
  xlimits <- c(min(fdata$x, na.rm = T), max(fdata$x, na.rm = T))
  ylimits <- c(min(fdata$y, na.rm = T), max(fdata$y, na.rm = T))
  zlimits <- c(min(fdata$z, na.rm = T), max(fdata$z, na.rm = T))
  l <- list (x = xlimits, y = ylimits, z = zlimits)
  xyz <- do.call(expand.grid, l)
  if (verbose) print(xyz)
  x_boundaries <- xyz$x
  if (verbose) print(class(xyz$x))
  y_boundaries <- xyz$y
  if (verbose) print(class(xyz$y))
  z_boundaries <- xyz$z
  if (verbose) print(class(xyz$z))
  if (verbose) print(paste(x_boundaries, y_boundaries, z_boundaries, sep = ";"))

  # now turn fdata into a wide format for use with the rgl.surface
  fdata[, 2] <- as.character(fdata[, 2])
  fdata[, 3] <- as.character(fdata[, 3])
  #if (verbose) print(class(fdata[, 2]))
  wide_form <- dcast(fdata, y ~ x, value_var = "z")
  if (verbose) print(head(wide_form))
  wide_form_values <- as.matrix(wide_form[, 2:ncol(wide_form)])  
  if (verbose) print(wide_form_values)
  x_values <- as.numeric(colnames(wide_form[2:ncol(wide_form)]))
  y_values <- as.numeric(wide_form[, 1])
  if (verbose) print(x_values)
  if (verbose) print(y_values)
  wide_form_values <- wide_form_values[order(y_values), order(x_values)]
  wide_form_values <- as.numeric(wide_form_values)
  x_values <- x_values[order(x_values)]
  y_values <- y_values[order(y_values)]
  if (verbose) print(x_values)
  if (verbose) print(y_values)

  if (verbose) print(dim(wide_form_values))
  if (verbose) print(length(x_values))
  if (verbose) print(length(y_values))

  zlim <- range(wide_form_values)
  if (verbose) print(zlim)
  zlen <- zlim[2] - zlim[1] + 1
  if (verbose) print(zlen)

  if (colour == "rainbow"){
    colourut <- rainbow(zlen, alpha = 0)
    if (verbose) print(colourut)
    col <- colourut[ wide_form_values - zlim[1] + 1]
    # if (verbose) print(col)
  } else {
    col <- "grey"
    if (verbose) print(table(col2))
  }


  open3d()
  plot3d(x_boundaries, y_boundaries, z_boundaries, 
         box = T, col = "black",  xlab = orig_names[1], 
         ylab = orig_names[2], zlab = orig_names[3])

  rgl.surface(z = x_values,  ## these are all different because
              x = y_values,  ## of the confusing way that 
              y = wide_form_values,  ## rgl.surface works! - y is the height!
              coords = c(2,3,1),
              color = col,
              alpha = 1.0,
              lit = F,
              smooth = smoother)

  if (plot_points){
    # plot points in red just to be on the safe side!
    points3d(fdata, col = "blue")
  }

  if (plot_contour){
    # plot the plane underneath
    flat_matrix <- wide_form_values
    if (verbose) print(flat_matrix)
    y_intercept <- (zlim[2] - zlim[1]) * (-2/3) # put the flat matrix 1/2 the distance below the lower height 
    flat_matrix[which(flat_matrix != y_intercept)] <- y_intercept
    if (verbose) print(flat_matrix)

    rgl.surface(z = x_values,  ## these are all different because
                x = y_values,  ## of the confusing way that 
                y = flat_matrix,  ## rgl.surface works! - y is the height!
                coords = c(2,3,1),
                color = col,
                alpha = 1.0,
                smooth = smoother)
  }
}

add_rgl_model 在没有选项的情况下执行相同的工作，但将表面覆盖到现有的 3dplot 上。

add_rgl_model <- function(fdata){

  ## takes a model in long form, in the format
  ## 1st column x
  ## 2nd is y,
  ## 3rd is z (height)
  ## and draws an rgl model

  ##
  # note that x has to be ascending, followed by y
  print(head(fdata))

  fdata <- fdata[order(fdata[, 1], fdata[, 2]), ]

  print(head(fdata))
  ##
  require(reshape2)
  require(rgl)
  orig_names <- colnames(fdata)

  #print(head(fdata))
  colnames(fdata) <- c("x", "y", "z")
  fdata <- as.data.frame(fdata)

  ## work out the min and max of x,y,z
  xlimits <- c(min(fdata$x, na.rm = T), max(fdata$x, na.rm = T))
  ylimits <- c(min(fdata$y, na.rm = T), max(fdata$y, na.rm = T))
  zlimits <- c(min(fdata$z, na.rm = T), max(fdata$z, na.rm = T))
  l <- list (x = xlimits, y = ylimits, z = zlimits)
  xyz <- do.call(expand.grid, l)
  #print(xyz)
  x_boundaries <- xyz$x
  #print(class(xyz$x))
  y_boundaries <- xyz$y
  #print(class(xyz$y))
  z_boundaries <- xyz$z
  #print(class(xyz$z))

  # now turn fdata into a wide format for use with the rgl.surface
  fdata[, 2] <- as.character(fdata[, 2])
  fdata[, 3] <- as.character(fdata[, 3])
  #print(class(fdata[, 2]))
  wide_form <- dcast(fdata, y ~ x, value_var = "z")
  print(head(wide_form))
  wide_form_values <- as.matrix(wide_form[, 2:ncol(wide_form)])  
  x_values <- as.numeric(colnames(wide_form[2:ncol(wide_form)]))
  y_values <- as.numeric(wide_form[, 1])
  print(x_values)
  print(y_values)
  wide_form_values <- wide_form_values[order(y_values), order(x_values)]
  x_values <- x_values[order(x_values)]
  y_values <- y_values[order(y_values)]
  print(x_values)
  print(y_values)

  print(dim(wide_form_values))
  print(length(x_values))
  print(length(y_values))

  rgl.surface(z = x_values,  ## these are all different because
              x = y_values,  ## of the confusing way that 
              y = wide_form_values,  ## rgl.surface works!
              coords = c(2,3,1),
              alpha = .8)
  # plot points in red just to be on the safe side!
  points3d(fdata, col = "red")
}

所以我的方法是，尝试使用所有数据来完成此操作（我可以轻松绘制从约 15k 点生成的曲面）。如果这不起作用，请获取几个较小的样本并使用这些函数一次将它们全部绘制出来。

rgl is great, but takes a bit of experimentation to get the axes right.

If you have a lot of points, why not take a random sample from them, and then plot the resulting surface. You can add several surfaces all based on samples from the same data to see if the process of sampling is horribly affecting your data.

So, here is a pretty horrible function but it does what I think you want it to do (but without the sampling). Given a matrix (x, y, z) where z is the heights it will plot both the points and also a surface. Limitations are that there can only be one z for each (x,y) pair. So planes which loop back over themselves will cause problems.

The plot_points = T will plot the individual points from which the surface is made - this is useful to check that the surface and the points actually meet up. The plot_contour = T will plot a 2d contour plot below the 3d visualization. Set colour to rainbow to give pretty colours, anything else will set it to grey, but then you can alter the function to give a custom palette. This does the trick for me anyway, but I'm sure that it can be tidied up and optimized. The verbose = T prints out a lot of output which I use to debug the function as and when it breaks.

plot_rgl_model_a <- function(fdata, plot_contour = T, plot_points = T, 
                             verbose = F, colour = "rainbow", smoother = F){
  ## takes a model in long form, in the format
  ## 1st column x
  ## 2nd is y,
  ## 3rd is z (height)
  ## and draws an rgl model

  ## includes a contour plot below and plots the points in blue
  ## if these are set to TRUE

  # note that x has to be ascending, followed by y
  if (verbose) print(head(fdata))

  fdata <- fdata[order(fdata[, 1], fdata[, 2]), ]
  if (verbose) print(head(fdata))
  ##
  require(reshape2)
  require(rgl)
  orig_names <- colnames(fdata)
  colnames(fdata) <- c("x", "y", "z")
  fdata <- as.data.frame(fdata)

  ## work out the min and max of x,y,z
  xlimits <- c(min(fdata$x, na.rm = T), max(fdata$x, na.rm = T))
  ylimits <- c(min(fdata$y, na.rm = T), max(fdata$y, na.rm = T))
  zlimits <- c(min(fdata$z, na.rm = T), max(fdata$z, na.rm = T))
  l <- list (x = xlimits, y = ylimits, z = zlimits)
  xyz <- do.call(expand.grid, l)
  if (verbose) print(xyz)
  x_boundaries <- xyz$x
  if (verbose) print(class(xyz$x))
  y_boundaries <- xyz$y
  if (verbose) print(class(xyz$y))
  z_boundaries <- xyz$z
  if (verbose) print(class(xyz$z))
  if (verbose) print(paste(x_boundaries, y_boundaries, z_boundaries, sep = ";"))

  # now turn fdata into a wide format for use with the rgl.surface
  fdata[, 2] <- as.character(fdata[, 2])
  fdata[, 3] <- as.character(fdata[, 3])
  #if (verbose) print(class(fdata[, 2]))
  wide_form <- dcast(fdata, y ~ x, value_var = "z")
  if (verbose) print(head(wide_form))
  wide_form_values <- as.matrix(wide_form[, 2:ncol(wide_form)])  
  if (verbose) print(wide_form_values)
  x_values <- as.numeric(colnames(wide_form[2:ncol(wide_form)]))
  y_values <- as.numeric(wide_form[, 1])
  if (verbose) print(x_values)
  if (verbose) print(y_values)
  wide_form_values <- wide_form_values[order(y_values), order(x_values)]
  wide_form_values <- as.numeric(wide_form_values)
  x_values <- x_values[order(x_values)]
  y_values <- y_values[order(y_values)]
  if (verbose) print(x_values)
  if (verbose) print(y_values)

  if (verbose) print(dim(wide_form_values))
  if (verbose) print(length(x_values))
  if (verbose) print(length(y_values))

  zlim <- range(wide_form_values)
  if (verbose) print(zlim)
  zlen <- zlim[2] - zlim[1] + 1
  if (verbose) print(zlen)

  if (colour == "rainbow"){
    colourut <- rainbow(zlen, alpha = 0)
    if (verbose) print(colourut)
    col <- colourut[ wide_form_values - zlim[1] + 1]
    # if (verbose) print(col)
  } else {
    col <- "grey"
    if (verbose) print(table(col2))
  }


  open3d()
  plot3d(x_boundaries, y_boundaries, z_boundaries, 
         box = T, col = "black",  xlab = orig_names[1], 
         ylab = orig_names[2], zlab = orig_names[3])

  rgl.surface(z = x_values,  ## these are all different because
              x = y_values,  ## of the confusing way that 
              y = wide_form_values,  ## rgl.surface works! - y is the height!
              coords = c(2,3,1),
              color = col,
              alpha = 1.0,
              lit = F,
              smooth = smoother)

  if (plot_points){
    # plot points in red just to be on the safe side!
    points3d(fdata, col = "blue")
  }

  if (plot_contour){
    # plot the plane underneath
    flat_matrix <- wide_form_values
    if (verbose) print(flat_matrix)
    y_intercept <- (zlim[2] - zlim[1]) * (-2/3) # put the flat matrix 1/2 the distance below the lower height 
    flat_matrix[which(flat_matrix != y_intercept)] <- y_intercept
    if (verbose) print(flat_matrix)

    rgl.surface(z = x_values,  ## these are all different because
                x = y_values,  ## of the confusing way that 
                y = flat_matrix,  ## rgl.surface works! - y is the height!
                coords = c(2,3,1),
                color = col,
                alpha = 1.0,
                smooth = smoother)
  }
}

The add_rgl_model does the same job without the options, but overlays a surface onto the existing 3dplot.

add_rgl_model <- function(fdata){

  ## takes a model in long form, in the format
  ## 1st column x
  ## 2nd is y,
  ## 3rd is z (height)
  ## and draws an rgl model

  ##
  # note that x has to be ascending, followed by y
  print(head(fdata))

  fdata <- fdata[order(fdata[, 1], fdata[, 2]), ]

  print(head(fdata))
  ##
  require(reshape2)
  require(rgl)
  orig_names <- colnames(fdata)

  #print(head(fdata))
  colnames(fdata) <- c("x", "y", "z")
  fdata <- as.data.frame(fdata)

  ## work out the min and max of x,y,z
  xlimits <- c(min(fdata$x, na.rm = T), max(fdata$x, na.rm = T))
  ylimits <- c(min(fdata$y, na.rm = T), max(fdata$y, na.rm = T))
  zlimits <- c(min(fdata$z, na.rm = T), max(fdata$z, na.rm = T))
  l <- list (x = xlimits, y = ylimits, z = zlimits)
  xyz <- do.call(expand.grid, l)
  #print(xyz)
  x_boundaries <- xyz$x
  #print(class(xyz$x))
  y_boundaries <- xyz$y
  #print(class(xyz$y))
  z_boundaries <- xyz$z
  #print(class(xyz$z))

  # now turn fdata into a wide format for use with the rgl.surface
  fdata[, 2] <- as.character(fdata[, 2])
  fdata[, 3] <- as.character(fdata[, 3])
  #print(class(fdata[, 2]))
  wide_form <- dcast(fdata, y ~ x, value_var = "z")
  print(head(wide_form))
  wide_form_values <- as.matrix(wide_form[, 2:ncol(wide_form)])  
  x_values <- as.numeric(colnames(wide_form[2:ncol(wide_form)]))
  y_values <- as.numeric(wide_form[, 1])
  print(x_values)
  print(y_values)
  wide_form_values <- wide_form_values[order(y_values), order(x_values)]
  x_values <- x_values[order(x_values)]
  y_values <- y_values[order(y_values)]
  print(x_values)
  print(y_values)

  print(dim(wide_form_values))
  print(length(x_values))
  print(length(y_values))

  rgl.surface(z = x_values,  ## these are all different because
              x = y_values,  ## of the confusing way that 
              y = wide_form_values,  ## rgl.surface works!
              coords = c(2,3,1),
              alpha = .8)
  # plot points in red just to be on the safe side!
  points3d(fdata, col = "red")
}

So my approach would be to, try to do it with all your data (I easily plot surfaces generated from ~15k points). If that doesn't work, take several smaller samples and plot them all at once using these functions.

回复 原文
拥抱我好吗 2024-10-05 07:26:44

也许现在已经晚了，但在 Spacedman 之后，您是否尝试过重复=“条带”或任何其他选项？

x=runif(1000)
y=runif(1000)
z=rnorm(1000)
s=interp(x,y,z,duplicate="strip")
surface3d(s$x,s$y,s$z,color="blue")
points3d(s)

Maybe is late now but following Spacedman, did you try duplicate="strip" or any other option?

x=runif(1000)
y=runif(1000)
z=rnorm(1000)
s=interp(x,y,z,duplicate="strip")
surface3d(s$x,s$y,s$z,color="blue")
points3d(s)
回复 原文
~没有更多了~

关于作者

滥情稳全场

暂无简介

0 文章
0 评论
24 人气
发私信

相关话题

更多

热门标签

操作系统 程序设计 IT运维 Linux系统管理 JavaScript 服务器应用 solaris C/C++ PHP Shell BSD Vue.js aix Oracle Python HTML 系统管理 HTML5 CSS 前端
更多

推荐作者

已经忘了多久

文章 0 评论 0

15867725375

文章 0 评论 0

LonelySnow

文章 0 评论 0

走过海棠暮

文章 0 评论 0

轻许诺言

文章 0 评论 0

信馬由缰

文章 0 评论 0

更多

友情链接

文江博客
    我们使用 Cookies 和其他技术来定制您的体验包括您的登录状态等。通过阅读我们的 隐私政策 了解更多相关信息。 单击 接受 或继续使用网站，即表示您同意使用 Cookies 和您的相关数据。
    原文