chop.tess(spatstat)
chop.tess()所属R语言包:spatstat
Subdivide a Window or Tessellation using a Set of Lines
细分窗口或用一组线的Tessellation(曲面细分)
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Divide a given window into tiles delineated by a set of infinite straight lines, obtaining a tessellation of the window. Alternatively, given a tessellation, divide each tile of the tessellation into sub-tiles delineated by the lines.
将一个给定的窗口由一组无限直线,得到镶嵌窗口划定为若干瓦片。另外,镶嵌,每瓦的Tessellation(曲面细分)划分成子砖划定的线。
用法----------Usage----------
chop.tess(X, L)
参数----------Arguments----------
参数:X
A window (object of class "owin") or tessellation (object of class "tess") to be subdivided by lines.
一个窗口类的对象(对象类"owin")或Tessellation(曲面细分)("tess")被细分成线。
参数:L
A set of infinite straight lines (object of class "infline")
一组无限的直线(类的对象"infline")
Details
详细信息----------Details----------
The argument L should be a set of infinite straight lines in the plane (stored in an object L of class "infline" created by the function infline).
参数L应该是无限直线在平面(对象存储在一组L类"infline"创建的功能infline)。
If X is a window, then it is divided into tiles delineated by the lines in L.
如果X是一个窗口,然后,它被分成在L由线划定的瓷砖。
If X is a tessellation, then each tile of X is subdivided into sub-tiles delineated by the lines in L.
如果X是镶嵌式,然后每一瓦片X被细分成子瓷砖在L由线划定。
The result is a tessellation.
其结果是一个镶嵌。
值----------Value----------
A tessellation (object of class "tess").
镶嵌(类的对象"tess")。
警告----------Warning----------
If X is a non-convex window, or a tessellation containing non-convex tiles, then chop.tess(X,L) may contain a tile which consists of several unconnected pieces.
如果X是一个非凸的窗口,或镶嵌含有非凸瓷砖的,然后chop.tess(X,L)可能包含几个未连接件组成的瓷砖。
(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----------
infline, clip.infline
infline,clip.infline
实例----------Examples----------
L <- infline(p=1:3, theta=pi/4)
W <- square(4)
chop.tess(W, L)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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