localKinhom(spatstat)
localKinhom()所属R语言包：spatstat
Inhomogeneous Neighbourhood Density Function
邻里密度不均匀功能
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Computes spatially-weighted versions of the the local K-function or L-function.
计算空间加权版本的本地K功能或L功能。
用法----------Usage----------
localKinhom(X, lambda, ...,
correction = "Ripley", verbose = TRUE, rvalue=NULL,
sigma = NULL, varcov = NULL)
localLinhom(X, lambda, ...,
correction = "Ripley", verbose = TRUE, rvalue=NULL,
sigma = NULL, varcov = NULL)
参数----------Arguments----------
参数：X
A point pattern (object of class "ppp").
点模式（类的对象"ppp"）。
参数：lambda
Optional. Values of the estimated intensity function. Either a vector giving the intensity values at the points of the pattern X, a pixel image (object of class "im") giving the intensity values at all locations, a fitted point process model (object of class "ppm") or a function(x,y) which can be evaluated to give the intensity value at any location.
可选。值的估计强度的功能。无论是矢量发出的格局X，一个像素的图像（类的对象"im"）发出的强度值在所有地点，一个安装点过程模型（对象类的点的亮度值在"ppm"）或function(x,y)可以进行评估，以在任何位置的强度值。
参数：...
Extra arguments. Ignored if lambda is present. Passed to density.ppp if lambda is omitted.
额外的参数。被忽略的，如果lambda存在。传递给density.ppp如果lambda省略。
参数：correction
String specifying the edge correction to be applied. Options are "none", "translate", "Ripley", "isotropic" or "best". Only one correction may be specified.
字符串，用于指定要应用的边缘校正。选项"none"，"translate"，"Ripley"，"isotropic"或"best"。仅可指定一个校正。
参数：verbose
Logical flag indicating whether to print progress reports during the calculation.
逻辑的标志，表示是否打印在计算过程中的进度报告。
参数：rvalue
Optional. A single value of the distance argument r at which the function L or K should be computed.
可选。一个单一的距离参数值r函数L或K应计算。
参数：sigma, varcov
Optional arguments passed to density.ppp to control the kernel smoothing procedure for estimating lambda, if lambda is missing.
可选参数传递给density.ppp控制的核平滑化程序估计lambda如果lambda丢失。
Details
详细信息----------Details----------
The functions localKinhom and localLinhom are inhomogeneous or weighted versions of the neighbourhood density function implemented in localK and localL.
的功能localKinhom和localLinhom是不均匀的或加权附近密度函数的版本中实现localK和localL。
Given a spatial point pattern X, the inhomogeneous neighbourhood density function L[i](r) associated with the ith point in X is computed by
给定一个空间点格局X，附近密度不均匀功能L[i](r)与i个点X的计算方法
where the sum is over all points j != i that lie within a distance r of the ith point, λ[j] is the estimated intensity of the point pattern at the point j, and e[i,j] is an edge correction term (as described in Kest). The value of L[i](r) can also be interpreted as one of the summands that contributes to the global estimate of the inhomogeneous L function (see Linhom).
其中求和是对所有点j != i的谎言的距离内r的i个点，λ[j]是在该点的点模式估计强度j和e[i,j]的的边缘修正项（如在Kest）。 L[i](r)的值，也可以被解释作为有助于全球预算的不均匀L函数（参见Linhom）的被加数之一。
By default, the function L[i](r) or K[i](r) is computed for a range of r values for each point i. The results are stored as a function value table (object of class "fv") with a column of the table containing the function estimates for each point of the pattern X.
默认情况下，功能L[i](r)或K[i](r)计算的范围r值，每个点i。结果被存储为一个函数值表（对象类"fv"）与包含该函数的表的列的估计，对每个点的图案X。
Alternatively, if the argument rvalue is given, and it is a single number, then the function will only be computed for this value of r, and the results will be returned as a numeric vector, with one entry of the vector for each point of the pattern X.
另外，如果参数rvalue是给定的，它是一个单一的数字，那么该函数将只被计算此值的r，将返回的结果为一个数值向量，一个输入矢量的每个点的图案X。
值----------Value----------
If rvalue is given, the result is a numeric vector of length equal to the number of points in the point pattern.
如果rvalue，给出的结果是一个数值向量的长度相等的点图案中的点的数量。
If rvalue is absent, the result is an object of class "fv", see fv.object, which can be plotted directly using plot.fv. Essentially a data frame containing columns
rvalue如果是不存在的，其结果是类的一个对象"fv"，fv.object，它可以绘制直接使用plot.fv的。本质上是一个数据框包含多个列
参数：r
the vector of values of the argument r at which the function K has been estimated
的参数的值的矢量r在哪些函数K已估计
参数：theo
the theoretical value K(r) = pi * r^2 or L(r)=r for a stationary Poisson process
K(r) = pi * r^2或L(r)=r的平稳泊松过程的理论值
together with columns containing the values of the neighbourhood density function for each point in the pattern. Column i corresponds to the ith point. The last two columns contain the r and theo values.
连同含有模式中的每个点的邻域密度函数的值的列。列i对应的i个点。最后两列包含r和theo值。
（作者）----------Author(s)----------
Mike Kuhn,
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----------
Kinhom, Linhom, localK, localL.
Kinhom，Linhom，localK，localL。
实例----------Examples----------
data(ponderosa)
X <- ponderosa
# compute all the local L functions[计算所有的L函数]
L <- localLinhom(X)
# plot all the local L functions against r[绘制所有的L函数反对研究]
plot(L, main="local L functions for ponderosa", legend=FALSE)
# plot only the local L function for point number 7[图只有本地L功能点7号]
plot(L, iso007 ~ r)
# compute the values of L(r) for r = 12 metres[L相关（r）的值计算为r = 12米]
L12 <- localL(X, rvalue=12)
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。
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发表于 2012-9-30 13:43:49
