linim(spatstat)
linim()所属R语言包：spatstat
Create Pixel Image on Linear Network
线性网络上创建图像像素
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Creates an object of class "linim" that represents a pixel image on a linear network.
创建类的一个对象"linim"“”，表示一个线性网络上的一个像素的图像。
用法----------Usage----------
linim(L, Z, ..., df=NULL)
参数----------Arguments----------
参数：L
Linear network (object of class "linnet").
线性网络（类的对象"linnet"“）。
参数：Z
Pixel image (object of class "im").
像素的图像（类的对象"im"“）。
参数：...
Ignored.
忽略。
参数：df
Advanced use only. Data frame giving full details of the mapping between the pixels of Z and the lines of L. See Details.
高级方可使用。充分细节的数据框的像素Z和L之间的映射。查看详细信息。
Details
详细信息----------Details----------
This command creates an object of class "linim" that represents a pixel image defined on a linear network. Typically such objects are used to represent the result of smoothing or model-fitting on the network. Most users will not need to call linim directly.
此命令创建类的一个对象"linim"“”，表示一个像素的图像定义的线性网络。通常，使用这样的对象来表示的结果的平滑或网络上的模型的拟合。大多数用户都不需要linim直接调用“。
The argument L is a linear network (object of class "linnet"). It gives the exact spatial locations of the line segments of the network, and their connectivity.
参数L是一个线性网络（类的对象"linnet"“）。它给出确切的空间位置的网络的线段，和他们的连接。
The argument Z is a pixel image object of class "im" that gives a pixellated approximation of the function values.
参数Z像素图像的类的对象"im"，给出了一个函数值的像素化近似。
For increased efficiency, advanced users may specify the optional argument df. This is a data frame giving the precomputed mapping between the pixels of Z and the line segments of L. It should have columns named xc, yc containing the coordinates of the pixel centres, x,y containing the projections of these pixel centres onto the linear network, mapXY identifying the line segment on which each projected point lies, and tp giving the parametric position of (x,y) along the segment.
为了提高效率，高级用户可以指定可选的参数df。这是一个数据框给予预计算的像素之间的映射的Z和线段L。它应该有列名为xc, yc包含的像素中心的坐标，x,y含有这些象素中心突起到的线性网络，mapXY识别线段上每个投影点在于和tp(x,y)沿段的参数位置。
值----------Value----------
Object of class "linim" that also inherits the class "im". There is a special method for plotting this class.
对象的类"linim"，也继承了类"im"。有一个特殊的为策划这个类的方法。
（作者）----------Author(s)----------
Adrian Baddeley
<a href="mailto:Adrian.Baddeley@csiro.au">Adrian.Baddeley@csiro.au</a>
<a href="http://www.maths.uwa.edu.au/~adrian/">http://www.maths.uwa.edu.au/~adrian/</a>
参考文献----------References----------
Statistical methodology for events on a network. Master's thesis, School of Mathematics and Statistics, University of Western Australia.
Geometrically corrected second-order analysis of events on a linear network, with applications to ecology and criminology. To appear in Scandinavian Journal of Statistics.
Fitting Poisson point process models to events on a linear network. Manuscript in preparation.
参见----------See Also----------
plot.linim, linnet, im.
plot.linim，linnet，im。
实例----------Examples----------
example(linnet)
M <- as.mask.psp(as.psp(letterA))
Z <- as.im(function(x,y) {x-y}, W=M)
X <- linim(letterA, Z)
X
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 13:43:28
