fryplot(spatstat)
fryplot()所属R语言包：spatstat
Fry Plot of Point Pattern
弗莱图点格局
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Displays the Fry plot (Patterson plot) of a spatial point pattern.
一个空间点格局显示鱼苗图的（帕特森图）。
用法----------Usage----------
fryplot(X, ..., width=NULL, from=NULL, to=NULL)
frypoints(X)
参数----------Arguments----------
参数：X
A point pattern (object of class "ppp") or something acceptable to as.ppp.
点模式（对象类"ppp"）或一些可以接受的as.ppp。
参数：...
Optional arguments to control the appearance of the plot.
可选参数来控制外观的图。
参数：width
Optional parameter indicating the width of a box for a zoomed-in view of the Fry plot near the origin.
可选的参数，用来指示一个盒子的宽度为一个放大的视图，在原点附近的鱼苗图。
参数：from,to
Optional. Subset indices specifying which points of X will be considered when forming the vectors (drawn from each point of from, to each point of to.)
可选。子集索引指定点X将被视为形成的向量（来自from每个点，每个点的to。）
Details
详细信息----------Details----------
The function fryplot generates a Fry plot (or Patterson plot); frypoints returns the points of the Fry plot as a point pattern dataset.
的功能fryplot产生弗莱图（或帕特森图），“frypoints返回点的鱼苗积点模式数据集。
Fry (1979) and Hanna and Fry (1979) introduced a manual graphical method for investigating features of a spatial point pattern of mineral deposits. A transparent sheet, marked with an origin or centre point, is placed over the point pattern. The transparent sheet is shifted so that the origin lies over one of the data points, and the positions of all the other data points are copied onto the transparent sheet. This procedure is repeated for each data point in turn. The resulting plot (the Fry plot) is a pattern of n(n-1) points, where n is the original number of data points. This procedure was previously proposed by Patterson (1934, 1935) for studying inter-atomic distances in crystals, and is also known as a Patterson plot.
弗莱（1979年）和Hanna和弗莱（1979）介绍了一个手动的图形功能的空间点格局的矿藏进行调查的方法。的透明片材，标有原点或中心点，被放置在点图案。移位，使得原点位于超过一个的数据点，以及所有的其它数据点的位置被复制到透明片材的透明片材。重复这个过程，依次为每个数据点。由此产生的图（弗莱图）是一个模式n(n-1)点，n是原来的一些数据点。此过程由Patterson（1934，1935）曾提出为研究晶体中的原子间的距离，并且也被称为一个Patterson图。
The function fryplot generates the Fry/Patterson plot. Standard graphical parameters such as main, pch, lwd, col, bg, cex can be used to control the appearance of the plot. To zoom in (to view only a subset of the Fry plot at higher magnification), use the argument width to specify the width of a rectangular field of view centred at the origin, or the standard graphical arguments xlim and ylim to specify another rectangular field of view. (The actual field of view may be slightly larger, depending on the graphics device.)
函数fryplot产生鱼苗/帕特森图。标准的图形参数，如main，pch，lwd，col，bg，cex可以用来控制出现的图。要放大的（查看的鱼苗图在更高的放大倍率只有一小部分），使用参数width指定的宽度以原点为中心的矩形区域来看，标准的图形参数xlim 和ylim指定的另一矩形的视野。 （实际视场可稍大，取决于在图形设备上。）
The function frypoints returns the points of the Fry plot as a point pattern object. There may be a large number of points in this pattern, so this function should be used only if further analysis of the Fry plot is required.
函数frypoints返回点的鱼苗积点模式对象。可能有大量的点，在这个模式中，这个功能应该仅用于如果需要进一步分析的鱼苗图。
Fry plots are particularly useful for recognising anisotropy in regular point patterns. A void around the origin in the Fry plot suggests regularity (inhibition between points) and the shape of the void gives a clue to anisotropy in the pattern. Fry plots are also useful for detecting periodicity or rounding of the spatial coordinates.
弗莱图是特别有用的识别各向异性的正规点的模式。无效数据的原点周围的Fry图中建议的规律性（抑制点之间）的空隙的形状各向异性图案提供了线索。弗莱图也是有用的，用于检测周期性或舍入的空间坐标。
In mathematical terms, the Fry plot of a point pattern X is simply a plot of the vectors X[i] - X[j] connecting all pairs of distinct points in X.
在数学方面，弗莱图的点模式X是一个简单的图的向量的X[i] - X[j]在X连接所有不同的点对。
The Fry plot is related to the K function (see Kest) and the reduced second moment measure (see Kmeasure). For example, the number of points in the Fry plot lying within a circle of given radius is an unnormalised and uncorrected version of the K function. The Fry plot has a similar appearance to the plot of the reduced second moment measure Kmeasure when the smoothing parameter sigma is very small.
弗莱图有关的K函数（见Kest）和降低的第二时刻措施（见Kmeasure）。例如，在位于给定半径的圆内的Fry图的点的数量是一个unnormalised及裸版本K函数。南联盟的图有相似的外观，减少二阶矩措施Kmeasure平滑参数sigma是非常小的图。
The Fry plot does not adjust for the effect of the size and shape of the sampling window. The density of points in the Fry plot tapers off near the edges of the plot. This is an edge effect, a consequence of the bounded sampling window. In geological applications this is usually not important, because interest is focused on the behaviour near the origin where edge effects can be ignored. To correct for the edge effect, use Kmeasure or Kest or its relatives.
的Fry图不采样窗口的尺寸和形状的调整的效果。对南联盟的图点的密度逐渐减少边缘附近的图。这是的边缘效应，因此，有界的采样窗口。在地质应用中，这通常是重要的，因为兴趣是集中在原点附近的边缘效应可以忽略不计的行为。为了纠正的边缘效应，使用Kmeasure或Kest或其亲属。
值----------Value----------
fryplot returns NULL. frypoints returns a point pattern (object of class "ppp").
fryplot返回NULL。 frypoints返回一个指向模式（类的对象"ppp"“）。
（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>
参考文献----------References----------
Random point distributions and strain measurement in rocks. Tectonophysics 60, 89–105.
A comparison of methods of strain determination in rocks from southwest Dyfed (Pembrokeshire) and adjacent areas. Journal of Structural Geology 1, 155–162.
of the component of inter-atomic distances in crystals. Physics Reviews 46, 372–376.
components of inter-atomic distances in crystals. Zeitschrift fuer Krystallographie 90, 517–554.
参见----------See Also----------
Kmeasure, Kest
Kmeasure，Kest
实例----------Examples----------
data(cells)
fryplot(cells)
Y <- frypoints(cells)
data(amacrine)
fryplot(amacrine, width=0.2,
from=(marks(amacrine) == "on"),
chars=c(3,16), cols=2:3,
main="Fry plot centred at an On-cell")
points(0,0)
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 13:30:20
