condmap(SpatialExtremes)
condmap()所属R语言包：SpatialExtremes
Produces a conditional 2D map from a fitted max-stable process
从拟合的最大稳定过程生成一个有条件的2D图
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Produces a conditional 2D map from a fitted max-stable process.
产生一个有条件的2D图，从拟合的最大稳定过程。
用法----------Usage----------
condmap(fitted, fix.coord, x, y, covariates = NULL, ret.per1 = 100,
ret.per2 = ret.per1, col = terrain.colors(64), plot.contour = TRUE,
...)
参数----------Arguments----------
参数：fitted
An object of class maxstab. Most often, it will be the output of the function fitmaxstab.
对象的类maxstab。大多数情况下，这将是功能fitmaxstab的输出。
参数：fix.coord
The spatial coordinates of the location from which the conditional quantile is computed.
从该条件分位数计算的位置的空间坐标。
参数：x,y
Numeric vector defining the grid at which the levels are computed.
数值向量定义的网格在计算的水平。
参数：covariates
An array specifying the covariates at each grid point defined by x and y. If NULL, no covariate is needed. See map to see how to build it.
一个数组，指定的协变量，在每个格点x和y。如果NULL，没有协变量是必要的。见map来看看如何构建它。
参数：ret.per1,ret.per2
Numerics giving the return period for which the quantile map is plotted. See details.
数值计算位数图绘制的回报期。查看详细信息。
参数：col
A list of colors such as that generated by 'rainbow', 'heat.colors', 'topo.colors', 'terrain.colors' or similar functions.
列表的颜色，如所产生的“彩虹”，“heat.colors”，“topo.colors”，“terrain.colors”或类似的功能。
参数：plot.contour
Logical. If TRUE (default), contour lines are added to the plot.
逻辑。如果TRUE（默认），等高线的图。
参数：...
Several arguments to be passed to the image function.
到传递给image功能的几个参数。
Details
详细信息----------Details----------
The function solves the following equation:
该功能解决了下面的等式：
where z_1 = -1 / log(1 - 1/T_1).
z_1 = -1 / log(1 - 1/T_1)。
In other words, it computes, given that at location x_1 we exceed the level z_1, the levels which is expected to be exceeded in average every T_2 year.
换言之，计算给定的，在位置x_1我们超过水平z_1，预计要超过平均每T_2年的水平。
值----------Value----------
A plot. Additionally, a list with the details for plotting the map is returned invisibly.
一个图。此外，绘制的图的详细信息，则返回的列表不可见的。
（作者）----------Author(s)----------
Mathieu Ribatet
参见----------See Also----------
map, filled.contour, heatmap, heat.colors, topo.colors, terrain.colors, rainbow
map，filled.contour，heatmap，heat.colors，topo.colors，terrain.colors，rainbow
实例----------Examples----------
##Define the coordinate of each location[＃定义的每个位置的坐标]
n.site <- 30
locations <- matrix(runif(2*n.site, 0, 10), ncol = 2)
colnames(locations) <- c("lon", "lat")
##Simulate a max-stable process - with unit Frechet margins[＃模拟一个最大稳定的过程 - 与单位的Frechet空间]
data <- rmaxstab(50, locations, cov.mod = "whitmat", nugget = 0, range =
2, smooth = 1)
##Now define the spatial model for the GEV parameters[＃GEV参数定义的空间模型]
param.loc <- -10 - 4 * locations[,1] + locations[,2]^2
param.scale <- 5 + locations[,2] + locations[,1]^2 / 10
param.shape <- rep(.2, n.site)
##Transform the unit Frechet margins to GEV [＃变换单位的Frechet空间GEV]
for (i in 1:n.site)
data[,i] <- frech2gev(data[,i], param.loc[i], param.scale[i],
param.shape[i])
##Define a model for the GEV margins to be fitted[＃定义一个模型，的GEV利润的安装]
##shape ~ 1 stands for the GEV shape parameter is constant[＃的形状~1的看台为GEV形状参数是常数]
##over the region[＃以上的区域]
loc.form <- loc ~ lon + I(lat^2)
scale.form <- scale ~ lat + I(lon^2)
shape.form <- shape ~ 1
## 1- Fit a max-stable process[＃1 - 适合一个最大稳定的过程]
fitted <- fitmaxstab(data, locations, "whitmat", loc.form, scale.form,
shape.form, nugget = 0, std.err.type = "none")
cond.coord <- c(5.1, 5.1)
condmap(fitted, cond.coord, seq(0, 10, length = 25), seq(0,10, length
=25), ret.per1 = 100, ret.per2 = 1.5)
points(t(cond.coord), pch = "*", col = 2, cex = 2)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-9-30 12:40:41
