reach(spatstat)
reach()所属R语言包：spatstat
Interaction Distance of a Point Process
作用距离的点处理
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Computes the interaction distance of a point process.
计算的交互距离的点处理。
用法----------Usage----------
reach(x, ...)
## S3 method for class 'ppm'
reach(x, ..., epsilon=0)
## S3 method for class 'interact'
reach(x, ...)
## S3 method for class 'rmhmodel'
reach(x, ...)
参数----------Arguments----------
参数：x
Either a fitted point process model (object of class "ppm"), an interpoint interaction (object of class "interact") or a point process model for simulation (object of class "rmhmodel").
一个安装点过程模型（对象类"ppm"），INTERPOINT互动（类"interact"）或点过程模型模拟对象（类的对象"rmhmodel"）。
参数：epsilon
Numerical threshold below which interaction is treated as zero. See details.
数值阈值低于互动被视为零。查看详细信息。
参数：...
Other arguments are ignored.
其他参数将被忽略。
Details
详细信息----------Details----------
The "interaction distance" or "interaction range" of a point process model is the smallest distance D such that any two points in the process which are separated by a distance greater than D do not interact with each other.
相互作用距离或相互作用范围的点的过程模型是最小的距离D例如，在这个过程中，被分离的距离大于任何两点D不交互彼此。
For example, the interaction range of a Strauss process (see Strauss) with parameters beta,gamma,r is equal to r, unless gamma=1 in which case the model is Poisson and the interaction range is 0. The interaction range of a Poisson process is zero. The interaction range of the Ord threshold process (see OrdThresh) is infinite, since two points may interact at any distance apart.
例如，施特劳斯过程的交互范围（参见Strauss）使用参数beta,gamma,r是等于r，除非gamma=1在这种情况下，该模型是泊松分布和相互作用范围是0。一个泊松过程的相互作用范围是零。条例阈值过程的相互作用范围的（见OrdThresh）是无限的，因为两点距离以外任何交互。
The function reach(x) is generic, with methods for the case where x is
的功能reach(x)的情况下x是的方法是通用的，
a fitted point process model (object of class "ppm", usually obtained from the model-fitting function ppm);
一个装有点过程模型（对象类"ppm"，通常是从模型的拟合函数ppm）;
an interpoint interaction structure (object of class "interact"), created by one of the functions Poisson, Strauss, StraussHard, MultiStrauss, MultiStraussHard, Softcore, DiggleGratton, Pairwise, PairPiece, Geyer, LennardJones, Saturated, OrdThresh or Ord;
一个INTERPOINT的互动结构（对象类"interact"）的功能之一，创建Poisson，Strauss，StraussHard，MultiStrauss，MultiStraussHard Softcore，DiggleGratton，Pairwise，PairPiece，Geyer，LennardJones，Saturated，OrdThresh或 Ord;
a point process model for simulation (object of class "rmhmodel"), usually obtained from rmhmodel.
一个点过程模型仿真（类的对象"rmhmodel"），通常获得rmhmodel。
When x is an "interact" object, reach(x) returns the maximum possible interaction range for any point process model with interaction structure given by x. For example, reach(Strauss(0.2)) returns 0.2.
当x是"interact"对象，reach(x)返回的最大可能的相互作用范围内的任何点过程模型与互动结构的x。对于例如，reach(Strauss(0.2))的返回0.2。
When x is a "ppm" object, reach(x) returns the interaction range for the point process model represented by x. For example, a fitted Strauss process model with parameters beta,gamma,r will return either 0 or r, depending on whether the fitted interaction parameter gamma is equal or not equal to 1.
当x是"ppm"对象，reach(x)返回的互动范围的点过程模型为代表的x。例如，一个厨房施特劳斯过程模型与参数beta,gamma,r将返回是0或r，取决于是否安装相互作用参数gamma等于或不等于1。
For some point process models, such as the soft core process (see Softcore), the interaction distance is infinite, because the interaction terms are positive for all pairs of points. A practical solution is to compute the distance at which the interaction contribution from a pair of points falls below a threshold epsilon, on the scale of the log conditional intensity. This is done by setting the argument epsilon to a positive value.
对于某些点的过程模型，如软核过程（见Softcore），的相互作用距离是无限的，因为交互项都为正的所有点对。一种实用的解决方案是，计算的距离，在从一对点的相互作用贡献低于一个阈值epsilon，log条件强度的规模上。这是通过设置参数epsilon为正值。
值----------Value----------
The interaction distance, or NA if this cannot be computed from the information given.
的作用距离，或NA，如果不能计算给定的信息。
（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>
and Rolf Turner
<a href="mailto:r.turner@auckland.ac.nz">r.turner@auckland.ac.nz</a>
参见----------See Also----------
ppm, Poisson, Strauss, StraussHard, MultiStrauss, MultiStraussHard, Softcore, DiggleGratton, Pairwise, PairPiece, Geyer, LennardJones, Saturated, OrdThresh, Ord, rmhmodel
ppm，Poisson，Strauss，StraussHard，MultiStrauss，MultiStraussHard，Softcore，DiggleGratton，<所述>，Pairwise，PairPiece，Geyer，LennardJones，Saturated，OrdThresh，Ord
实例----------Examples----------
reach(Poisson())
# returns 0[返回0]
reach(Strauss(r=7))
# returns 7[返回7]
data(swedishpines)
fit <- ppm(swedishpines, ~1, Strauss(r=7))
reach(fit)
# returns 7[返回7]
reach(OrdThresh(42))
# returns Inf[返回天道酬勤]
reach(MultiStrauss(1:2, matrix(c(1,3,3,1),2,2)))
# returns 3[返回3]
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。
|
发表于 2012-9-30 14:04:35
