R语言 secr包 contour()函数中文帮助文档(中英文对照)

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contour(secr)
contour()所属R语言包：secr

                                         Contour Detection Probability
                                         轮廓检测概率

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

Display contours of the net probability of detection p.(X), or the area within a specified distance of detectors.  buffer.contour adds a conventional "boundary strip" to a detector (trap) array, where buffer equals the strip width.
显示轮廓的净检测概率p（X），或该区域的指定距离内的探测器。 buffer.contour增加了传统的“边界带”（陷阱）到一个探测器阵列，其中buffer等于带钢宽度。


用法----------Usage----------



pdot.contour(traps, border = NULL, nx = 64, detectfn = 0,
    detectpar = list(g0 = 0.2, sigma = 25, z = 1), noccasions = 5,
    binomN = NULL, levels = seq(0.1, 0.9, 0.1), poly = NULL, plt = TRUE,
    add = FALSE, ...)

buffer.contour(traps, buffer, nx = 64, convex = FALSE, ntheta = 100,
     plt = TRUE, add = FALSE, poly = NULL, ...)




参数----------Arguments----------

参数：traps
traps object  
traps对象


参数：border
width of blank margin around the outermost detectors  
各地的最外层探测器宽度的空白保证金


参数：nx
dimension of interpolation grid in x-direction  
在x-方向的插值网格尺寸


参数：detectfn
integer code or character string for shape of detection function 0 = halfnormal etc. – see detectfn  
的整数代码或字符串检测功能0 = halfnormal等形状 -  detectfn


参数：detectpar
list of values for named parameters of detection function  
检测功能命名参数的值列表


参数：noccasions
number of sampling occasions
样本的数量


参数：binomN
integer c ode for discrete distribution (see secr.fit)  
对于离散分布的（见secr.fit）的整数c颂歌


参数：levels
vector of levels for p.(X)
的p的水平矢量（X）的


参数：poly
matrix of two columns, the x and y coordinates of a bounding polygon (optional)  
两列的矩阵，x和y坐标的边界多边形（可选）


参数：plt
logical to plot contours  
逻辑图轮廓


参数：add
logical to add contour(s) to an existing plot  
逻辑轮廓（S）到现有的图


参数：...
other arguments to pass to contour  
到传递contour的其他参数


参数：buffer
vector of buffer widths  
矢量缓冲区的宽度


参数：convex
logical, if TRUE the plotted contour(s) will be convex  
逻辑，如果为true，绘制等高线（s）将凸


参数：ntheta
integer value for smoothness of convex contours  
凸轮廓平滑的整数值


Details

详细信息----------Details----------

pdot.contour constructs a rectangular mask and applies pdot to compute the p.(X) at each mask point.
pdot.contour构建了一个矩形遮罩，适用于pdot计算p（X）在每个面具点。

if convex = FALSE, buffer.contour constructs a mask and contours the points on the basis of distance to the nearest trap at the levels given in buffer.
如果convex = FALSE，buffer.contour构建了一个面具和轮廓上的点的基础上距离最近的陷阱在buffer水平。

if convex = TRUE, buffer.contour constructs a set of potential vertices by adding points on a circle of radius = buffer to each detector location; the desired contour is the convex hull of these points (this algorithm derives from Efford, 2009).
如果convex = TRUE，buffer.contour构建了一套潜在的顶点为半径的圆上加点=buffer每个探测器的位置;所需的轮廓是这些点的凸包（该算法派生自Efford，2009）。

Increase nx for smoother lines, at the expense of speed.
增加nx线条更加流畅，牺牲了速度。


值----------Value----------

Coordinates of the plotted contours are returned as a list with one component per polygon. The list is returned invisibly if plt =   TRUE.  
所绘制的轮廓坐标返回为与多边形的一个组成部分，每一个列表。如果plt =   TRUE返回列表看不见的。


注意----------Note----------

The precision (smoothness) of the fitted line in buffer.contour is controlled by ntheta rather than nx when convex     = TRUE.
的精度（光滑度）的拟合直线buffer.contour控制ntheta而不是nxconvex     = TRUE。“，

To suppress contour labels, include the argument drawlabels =   FALSE (this will be passed via ... to contour). Other useful arguments of contour are col (colour of contour lines) and lwd (line width).
为了抑制轮廓标签，包括的参数drawlabels =   FALSE（这将通过通过...以contour）的。其他有用的参数contourcol（轮廓线的颜色）和lwd（线宽）。


参考文献----------References----------

explicit capture–recapture. Department of Zoology, University of Otago, Dunedin, New Zealand http://www.otago.ac.nz/density.

参见----------See Also----------

pdot, make.mask
pdot，make.mask


实例----------Examples----------



possumtraps <- traps(possumCH)

plot(possumtraps, border = 270)
pdot.contour(possumtraps, detectfn = 0, nx = 128, detectpar =
    detectpar(possum.model.0), levels = c(0.1, 0.01, 0.001),
    add = TRUE)

## clipping to polygon[＃裁剪的多边形]
olddir <- setwd(system.file("extdata", package = "secr"))
possumarea <- read.table("possumarea.txt", header = TRUE)
oldpar <- par(xpd = TRUE, mar = c(1,6,6,6))
plot(possumtraps, border = 400, gridlines = FALSE)
pdot.contour(possumtraps, detectfn = 0, nx = 256, detectpar =
    detectpar(possum.model.0), levels = c(0.1, 0.01, 0.001),
    add = TRUE, poly = possumarea, col = "blue")
lines(possumarea)
setwd(olddir)
par(oldpar)

## convex and concave buffers[＃凸面和凹面的缓冲区]
plot(possumtraps, border = 270)
buffer.contour(possumtraps, buffer = 100, add = TRUE, col = "blue")
buffer.contour(possumtraps, buffer = 100, convex = TRUE, add = TRUE)

## areas[＃区]
buff.concave <- buffer.contour(possumtraps, buffer = 100,
    plt = FALSE)
buff.convex  <- buffer.contour(possumtraps, buffer = 100,
    plt = FALSE, convex = TRUE)
sum (sapply(buff.concave, polyarea)) ## sum over parts[＃总结部分区域]
sapply(buff.convex, polyarea)

## effect of nx on area[＃效果的NX区]
buff.concave2 <- buffer.contour(possumtraps, buffer = 100,
    nx = 128, plt = FALSE)
sum (sapply(buff.concave2, polyarea))


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


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