SamplingPatternPriorPoints-class(spcosa)
SamplingPatternPriorPoints-class()所属R语言包：spcosa
Class "SamplingPatternPriorPoints"
类“SamplingPatternPriorPoints”
译者：生物统计家园网 机器人LoveR
描述----------Description----------
A class for storing a sampling pattern consisting of existing points and new points. The new points are the centers of gravity of their stratum.
A类用于存储采样模式，包括现有的点和新点。新的点是其地层的重力的中心。
类对象----------Objects from the Class----------
Objects can be created by calls of the form new("SamplingPatternPriorPoints", ...). However, objects are usually created by calling spsample.
可以创建对象通过调用的形式new("SamplingPatternPriorPoints", ...)。但是，对象通常是由调用spsample。
插槽----------Slots----------
isPriorPoint: Object of class "logical", which is TRUE is the location is a prior point, and FALSE if it is not.
isPriorPoint：对象类"logical"，这是TRUE的位置是一个前点，FALSE，如果它不是。
sample: Object of class "SpatialPoints", containing the sampling locations
sample：类的对象"SpatialPoints"，包含采样地点
扩展----------Extends----------
Class "SamplingPatternPurposive", directly. Class "SamplingPattern", by class "SamplingPatternPurposive", distance 2.
类"SamplingPatternPurposive"，直接。类"SamplingPattern"，由类“SamplingPatternPurposive的”，距离2。
方法----------Methods----------
plot signature(x = "CompactStratification", y = "SamplingPatternPriorPoints"): plots sampling pattern y on top of stratification x.
图signature(x = "CompactStratification", y = "SamplingPatternPriorPoints")：图采样模式y顶部分层x。
plot signature(x = "SamplingPatternPriorPoints", y = "missing"): plots sampling pattern x.
图signature(x = "SamplingPatternPriorPoints", y = "missing")的：图采样模式x。
（作者）----------Author(s)----------
Dennis J. J. Walvoort <a href="mailto:dennis.walvoort@wur.nl">dennis.walvoort@wur.nl</a>, D.J. Brus, J.J. de Gruijter
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 14:30:07
