graphneigh(spdep)
graphneigh()所属R语言包：spdep
Graph based spatial weights
基于图的空间权重
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Functions return a graph object containing a list with the vertex coordinates and the to and from indices defining the edges. The helper function graph2nb converts a graph object into a neighbour list. The plot functions plot the graph objects.
函数返回一个图形对象，它包含一个列表的顶点坐标和指标定义的边缘。辅助函数graph2nb到邻居列表转换为图形对象。绘图功能绘制的图形对象。
用法----------Usage----------
gabrielneigh(coords, nnmult=3)
relativeneigh(coords, nnmult=3)
soi.graph(tri.nb, coords)
graph2nb(gob, row.names=NULL,sym=FALSE)
## S3 method for class 'Gabriel'
plot(x, show.points=FALSE, add=FALSE, linecol=par(col), ...)
## S3 method for class 'relative'
plot(x, show.points=FALSE, add=FALSE, linecol=par(col),...)
参数----------Arguments----------
参数：coords
matrix of region point coordinates
区域点的坐标矩阵
参数：nnmult
scaling factor for memory allocation, default 3; if higher values are required, the function will exit with an error; example below thanks to Dan Putler
比例因子的内存分配，默认为3，如果需要更高的价值，该函数将退出与下面的由于丹Putler的，例如错误
参数：tri.nb
a neighbor list created from tri2nb
创建tri2nb的邻居列表
参数：gob
a graph object created from any of the graph funtions
创建的任何的曲线funtions的一个图形对象
参数：row.names
character vector of region ids to be added to the neighbours list as attribute region.id, default seq(1, nrow(x))
字符区域的id被添加到向量的邻居列表的属性region.id，默认seq(1, nrow(x))
参数：sym
a logical argument indicating whether or not neighbors should be symetric (if i->j then j->i)
一个符合逻辑的论据，说明是否或不相邻应该是对称的（如果I-> J然后J-> I）
参数：x
object to be plotted
反对绘制
参数：show.points
(logical) add points to plot
（逻辑）加点来绘制
参数：add
(logical) add to existing plot
（逻辑）添加到现有的图
参数：linecol
edge plotting colour
边缘绘制颜色
参数：...
further graphical parameters as in par(..)
进一步的图形参数如par(..)
Details
详细信息----------Details----------
The graph functions produce graphs on a 2d point set that are all subgraphs of the Delaunay triangulation. The relative neighbor graph is defined by the relation, x and y are neighbors if
的图形函数产生一个2D点集的Delaunay三角网的所有子图的图形。的关系所定义的相对邻居图，x和y是邻居，如果
where d() is the distance, S is the set of points and z is an arbitrary point in S. The Gabriel graph is a subgraph of the delaunay triangulation and has the relative neighbor graph as a sub-graph. The relative neighbor graph is defined by the relation x and y are Gabriel neighbors if
其中d（）的距离，S的点的集合和z中的任意点S.加布里埃尔图Delaunay三角网的一个子一个子图具有相对邻居图。由x和y的关系被定义的相对邻居图是加布里埃尔邻居，如果
where x,y,z and S are as before. The sphere of influence graph is defined for a finite point set S, let r_x be the distance from point x to its nearest neighbor in S, and C_x is the circle centered on x. Then x and y are SOI neigbors iff C_x and C_y intersect in at least 2 places.
其中，x，y，z和S是如前。被定义为一个有限点集S的影响图的领域，让r_x点x到距离其最近的邻居在S，和C_x是圆心在x。那么X和Y是SOI neigbors，当且仅当C_x和C_y中至少有2处相交。
See card for details of “nb” objects.
见card的“NB”对象的详细信息。
值----------Value----------
A list of class Graph withte following elements
类Graph的withte以下元素列表
参数：np
number of input points
输入点的数
参数：from
array of origin ids
阵列的起源IDS
参数：to
array of destination ids
阵列的目的地IDS
参数：nedges
number of edges in graph
图中的边缘的数目
参数：x
input x coordinates
输入x坐标
参数：y
input y coordinates
输入y坐标
The helper functions return an nb object with a list of integer vectors containing neighbour region number ids.
辅助函数返回一个nb对象的列表包含邻域数IDS的整数向量。
（作者）----------Author(s)----------
Nicholas Lewin-Koh <a href="mailto:nikko@hailmail.net">nikko@hailmail.net</a>
参考文献----------References----------
graphs relevant to geographic variation research and the clustering of points in the plane, Geographic Analysis, 12(3), pp. 205-222.
planar set, Pattern Recognition, 12(4), pp. 261-268.
computational morphology. In Computational Geometry, Ed. G. T. Toussaint, North Holland.
参见----------See Also----------
knearneigh, dnearneigh,
knearneigh，dnearneigh，
实例----------Examples----------
example(columbus)
coords <- coordinates(columbus)
par(mfrow=c(2,2))
col.tri.nb<-tri2nb(coords)
col.gab.nb<-graph2nb(gabrielneigh(coords), sym=TRUE)
col.rel.nb<- graph2nb(relativeneigh(coords), sym=TRUE)
col.soi.nb<- graph2nb(soi.graph(col.tri.nb,coords), sym=TRUE)
plot(columbus, border="grey")
plot(col.tri.nb,coords,add=TRUE)
title(main="Delaunay Triangulation")
plot(columbus, border="grey")
plot(col.gab.nb, coords, add=TRUE)
title(main="Gabriel Graph")
plot(columbus, border="grey")
plot(col.rel.nb, coords, add=TRUE)
title(main="Relative Neighbor Graph")
plot(columbus, border="grey")
plot(col.soi.nb, coords, add=TRUE)
title(main="Sphere of Influence Graph")
par(mfrow=c(1,1))
dx <- rep(0.25*0:4,5)
dy <- c(rep(0,5),rep(0.25,5),rep(0.5,5), rep(0.75,5),rep(1,5))
m <- cbind(c(dx, dx, 3+dx, 3+dx), c(dy, 3+dy, dy, 3+dy))
try(res <- gabrielneigh(m))
res <- gabrielneigh(m, nnmult=4)
summary(graph2nb(res))
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 14:38:09
