sampSurf-class(sampSurf)
sampSurf-class()所属R语言包：sampSurf
Class "sampSurf"
类“sampSurf”
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This class allows one to collect a population of "Stem" (actually subclasses thereof) objects along with their inclusion zones for a given sampling method or protocol and generate the sampling surface resulting from the method. One can think of the sampling surface grid as generating all possible samples of size one over the population based on the grid cell size. That is, the number of sample point locations is equivalent to the number of grid cells. At each grid cell, an estimate based on one sample is recorded. Because inclusion zones will often overlap, the estimate at the individual grid cells will be a function of those logs whose inclusion zones overlapped the grid cell center. In this way, the surface is constructed representing the samples at each point. One can think of the surface as a discrete approximation to the actual continuous surface—the approximation getting better as the grid cell size goes to zero (grid resolution increases).
这个类允许收集“人口Stem”（实际上是子类），将其列入区，对于一个给定的抽样方法或协议产生的抽样方法从表面的对象。我们可以把生成所有可能的样本大小为一的的采样表面电网的基于网格单元格大小的人口。也就是说，采样点的位置的数目是等效的格子单元数。在每个网格单元，对一个样本的估计被记录下来。由于包含的区域往往会重叠，估计在单个网格单元，将其纳入区域重叠的网格单元格中心的这些log的功能。以这种方式，表面构造代表在每个点处的样品。我们可以把表面的离散近似实际连续表面的逼近，获得更好的网格单元格大小变为零（网格分辨率的增加）。
Much of this is explained in far more detail in the references below. One can also generate multiple copies based on different log populations and average those surfaces to get a result that minimizes any possible irregularities in a particular sample draw of “Stem” objects. This has not been built into the package yet, but is simple enough to do, and can be added later.
这在很大程度上是在远在下面的参考文献中更详细地解释。你也可以根据不同的log人口和平均表面得到的结果，最大限度地减少任何可能的违规行为，在一个特定的样本绘制的“干”的对象生成多个副本。这还没有被内置到的包，但做是很简单的，可以在以后添加。
Note that only one attribute (e.g., volume, surface area, etc.) can be represented for a given sampling surface. However, it is trivial to use the same population of logs and inclusion zones to estimate a surface for a different attribute on the same tract. It is also straightforward to use the same population of logs and base tract
请注意，只有一个属性（例如，体积，表面积等）可以被表示为一个给定的取样表面。但是，它是微不足道的log和包容性的区域使用相同的人口估计为不同的属性在同一道表面。它使用相同的人口的log和基道也很简单
类对象----------Objects from the Class----------
Objects can be created by calls of the form new("sampSurf", ...). However, this is not recommended because the objects are fairly complex. Instead, one can use the object constructor sampSurf to create new objects. There is more than than one form of the function, so please refer to its methods for alternatives. More details are found in "The sampSurf Class"
可以创建对象通过调用的形式new("sampSurf", ...)。然而，这是不推荐的，因为对象是相当复杂的。相反，一个人可以使用对象的构造函数sampSurf创建新的对象。有以上的功能不止一种形式，所以请参考其替代品的方法。更多详细信息请参见“sampSurf类”
插槽----------Slots----------
description: Object of class "character": a
description：对象类"character"：
izContainer: Object of class "izContainer": A collection or population of down log or standing tree
izContainer类的对象"izContainer"：集合或人口下降的log或站立树
tract: Object of class "Tract": This is the tract over which to generate the sampling surface, and on which
tract：类的对象"Tract"：这是道在其上产生的采样表面，
estimate: Object of class "character": The attribute estimate name for the sampling surface represented on this tract; i.e., "volume", or number of stems
estimate：类的对象"character"：这道采样表面上表示属性估计的名字，即“量”，或数茎
surfStats: Object of class "list": A list object with the summary statistics for the sampling surface with
surfStats：类的对象"list"：一个List对象的汇总统计数据的采样表面
方法----------Methods----------
bbox signature(obj = "sampSurf"): Retrieve the
BBOX signature(obj = "sampSurf")：检索
hist signature(x = "sampSurf"): Histogram of the
历史signature(x = "sampSurf")的直方图
perimeter signature(object = "sampSurf"): Graphical
周边signature(object = "sampSurf")：图形
plot3D signature(x = "sampSurf"): Display the surface
PLOT3D signature(x = "sampSurf")：显示表面
plot signature(x = "sampSurf", y = "missing"): Plot
图signature(x = "sampSurf", y = "missing")：图
show signature(object = "sampSurf"): raster-like
signature(object = "sampSurf")：raster般的显示
summary signature(object = "sampSurf"): Detailed
总结signature(object = "sampSurf")：详细
（作者）----------Author(s)----------
Jeffrey H. Gove
参考文献----------References----------
of variance reduction for forest surveys. Canadian Journal of Forest
参见----------See Also----------
sampSurf-package, sampSurf, sampSurf-methods
sampSurf-package，sampSurf，sampSurf-methods
实例----------Examples----------
showClass("sampSurf")
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 2012-9-29 22:07:03
