R语言 SpatialExtremes包 condrgp()函数中文帮助文档(中英文对照)

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condrgp(SpatialExtremes)
condrgp()所属R语言包：SpatialExtremes

                                         Conditional simulation of Gaussian random fields
                                         条件模拟高斯随机领域

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

This function generates conditional simulation of Gaussian random fields from the simple kriging predictor.
这个函数生成条件模拟高斯随机领域，从简单克里格法预测。


用法----------Usage----------


condrgp(n, coord, data.coord, data, cov.mod = "powexp", mean = 0, sill =
1, range = 1, smooth = 1, grid = FALSE, control = list())



参数----------Arguments----------

参数：n
Integer. The number of conditional simulations.
整数。有条件的模拟的数目。


参数：coord
A numeric vector or matrix specifying the coordinates where the process has to be generated. If coord is a matrix, each row specifies one location.
数值向量或矩阵的指定的位置的坐标的过程以生成。如果coord是一个矩阵，每一行指定一个位置。


参数：data.coord
A numeric vector or matrix specifying the coordinates where the process is conditioned.
甲数值向量或矩阵的指定的条件的过程的坐标。


参数：data
A numeric vector giving the conditioning observations.
一个数值向量给的空调的观察。


参数：cov.mod
A character string specifying the covariance function family. Must be one of "whitmat", "powexp", "cauchy" or "bessel" for the Whittle-Mater, the powered exponential, the Cauchy or Bessel covariance families.
一个字符串指定的协方差函数族。必须有一个“whitmat”中，“powexp”，“柯西”或“贝塞尔”惠特尔母校，动力指数，柯西或贝塞尔协方差家庭的。


参数：mean,sill,range,smooth
The mean, sill, range and smooth of the Gaussian process.
平均，窗台，范围和平稳高斯过程。


参数：grid
Logical. Does coord specifies a grid?
逻辑。 coord指定一个网格？


参数：control
A named list passing options to the simulation method of Gaussian processes — see rgp.
命名的参数传递到高斯过程的仿真方法 - rgp。


值----------Value----------

A list with components:
组件列表：


参数：coord
The coordinates at which the process was simulated;
该过程进行模拟的坐标;


参数：cond.sim
The simulated process;
模拟的过程;


参数：data.coord
The coordinates of the conditioning locations;
调理的位置的坐标;


参数：data
The conditioning observations;
空调观测;


参数：cov.mod
The covariance function family;
协方差函数族;


参数：grid
Does coord specifies a grid?
coord指定一个网格？


（作者）----------Author(s)----------


Mathieu Ribatet



参见----------See Also----------

kriging, rgp.
kriging，rgp。


实例----------Examples----------


## Several conditional simulations[＃几个条件模拟]
n.site <- 50
n.sim <- 512

x.obs <- runif(n.site, -100, 100)
x.sim <- seq(-100, 100, length = n.sim)

data <- rgp(1, x.obs, "whitmat", sill = 1, range = 10, smooth = 0.75)

sim <- condrgp(5, x.sim, x.obs, data, "whitmat", sill = 1, range =
10, smooth = 0.75)

matplot(x.sim, t(sim$cond.sim),  type = "l", lty = 1, xlab = "x", ylab =
expression(Y[cond](x)))
points(x.obs, data, pch = 21, bg = 1)
title("Five conditional simulations")

## Comparison between one conditional simulations and the kriging[＃一个条件模拟和克立格法的比较]
## predictor on a grid[＃在网格上预测]
x.obs <- matrix(runif(2 * n.site, -100, 100), ncol = 2)
x <- y <- seq(-100, 100, length = 100)
x.sim <- cbind(x, y)

data <- rgp(1, x.obs, "whitmat", sill = 1, range = 50, smooth = 0.75)

krig <- kriging(data, x.obs, x.sim, "whitmat", sill = 1, range = 50,
smooth = 0.75, grid = TRUE)
sim <- condrgp(1, x.sim, x.obs, data, "whitmat", sill = 1, range = 50,
smooth = 0.75, grid = TRUE)

z.lim <- range(c(sim$cond.sim, data, krig$krig.est))
breaks <- seq(z.lim[1], z.lim[2], length = 65)
col <- heat.colors(64)
idx <- as.numeric(cut(data, breaks))

op <- par(mfrow = c(1,2))
image(x, y, krig$krig.est, col = col, breaks = breaks)
points(x.obs, bg = col[idx], pch = 21)
title("Kriging predictor")
image(x, y, sim$cond.sim, col = col, breaks = breaks)
points(x.obs, bg = col[idx], pch = 21)
title("Conditional simulation")
## Note how the background colors of the above points matches the ones[＃注意上述各点的背景色匹配的]
## returned by the image function[＃传回的图像功能]
par(op)

转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。


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