R语言 spcosa包 CompactStratification-class()函数中文帮助文档(中英文对照)

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CompactStratification-class(spcosa)
CompactStratification-class()所属R语言包：spcosa

                                        Class "CompactStratification"
                                         类“CompactStratification”

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

A class for storing a stratification with compact strata.
A级为紧凑地层分层存储。


类对象----------Objects from the Class----------

Objects can be created by calls of the form new("CompactStratification", cells, stratumId, centroids, mssd). However, objects are usually
可以创建对象通过调用的形式new("CompactStratification", cells, stratumId, centroids, mssd)。然而，对象通常是


插槽----------Slots----------




cells: Object of class "SpatialPixels", representing the area to be partitioned.
cells：类的对象"SpatialPixels"，表示该区域进行分区。




stratumId: Object of class "integer", indicating to which stratum each cell in cells belong.
stratumId：类"integer"，地层中的每个单元cells属于对象。




centroids: Object of class "SpatialPoints", representing the centers of gravity of each stratum.
centroids：类的对象"SpatialPoints"，代表各阶层的重力中心。




mssd: Object of class "numeric", representing the mean squared shortest distance.
mssd：类的对象"numeric"，代表的平均平方距离最短。


扩展----------Extends----------

Class "Stratification", directly.
类"Stratification"，直接。


方法----------Methods----------




coerce signature(from = "CompactStratification", to = "data.frame"): coerces to "data.frame".
要挟signature(from = "CompactStratification", to = "data.frame")：胁迫到"data.frame"。




coerce signature(from = "CompactStratification", to = "SpatialPixels"): coerces to "SpatialPixels".
要挟signature(from = "CompactStratification", to = "SpatialPixels")：胁迫到"SpatialPixels"。




coerce signature(from = "CompactStratification", to = "SpatialPixelsDataFrame"): coerces to "SpatialPixelsDataFrame".
要挟signature(from = "CompactStratification", to = "SpatialPixelsDataFrame")：胁迫到"SpatialPixelsDataFrame"。




estimate signature(statistic = "SamplingVariance", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame"): estimates the sampling variance.  See  "SamplingVariance" for more details.
估计signature(statistic = "SamplingVariance", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame")：估计抽样方差。见"SamplingVariance"更多详情。




estimate signature(statistic = "SpatialCumulativeDistributionFunction", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame"): estimates the spatial cumulative distribution function (SCDF).  See  "SpatialCumulativeDistributionFunction" for more details.
估计signature(statistic = "SpatialCumulativeDistributionFunction", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame")：估计的空间累积分布函数（新加坡民防部队）。见"SpatialCumulativeDistributionFunction"更多详情。




estimate signature(statistic = "SpatialMean", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame"): estimates the spatial mean.  See  "SpatialMean" for more details.
估计signature(statistic = "SpatialMean", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame")：估计平均的空间。见"SpatialMean"更多详情。




estimate signature(statistic = "SpatialVariance", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame"): estimates the spatial variance. See  "SpatialVariance" for more details.
估计signature(statistic = "SpatialVariance", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame")：估计的空间变异。见"SpatialVariance"更多详情。




estimate signature(statistic = "StandardError", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame"): estimates the standard error of the spatial mean. See "StandardError" for more details.
估计signature(statistic = "StandardError", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame")：估计标准误差的空间平均值。见"StandardError"更多详情。




estimate signature(statistic = "character", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame"): estimates statistic, one of spatial mean, spatial variance, SCDF, sampling variance, or standard error.
估计signature(statistic = "character", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame")：估计statistic，一个spatial mean，spatial variance，SCDF，sampling variance或standard error。




getArea signature(object = "CompactStratification"): returns the area of each stratum.
函数getArea signature(object = "CompactStratification")：返回该区域的各阶层。




getCentroid signature(object = "CompactStratification"): returns the center of gravity of each stratum.
getCentroidsignature(object = "CompactStratification")：返回中心，各阶层的重心。




getNumberOfStrata signature(object = "CompactStratification"): returns the number of strata.
getNumberOfStrata signature(object = "CompactStratification")：返回阶层的数量。




getObjectiveFunctionValue signature(object = "CompactStratification"): extracts the mean squared shortest distance.
getObjectiveFunctionValuesignature(object = "CompactStratification")：提取的均方最短的距离。




getRelativeArea signature(object = "CompactStratification"): returns the relative area of each stratum. The sum of the relative areas equals one.
getRelativeArea signature(object = "CompactStratification")：返回各阶层的相对面积。的相对区域的总和等于1。




plot signature(x = "CompactStratification", y = "missing"): plots stratification x.
图signature(x = "CompactStratification", y = "missing")：图分层x。




plot signature(x = "CompactStratification", y = "SamplingPattern"): plots sampling pattern y on top of stratification x.
图signature(x = "CompactStratification", y = "SamplingPattern")：图采样模式y顶部分层x。




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 = "CompactStratification", y = "SamplingPatternRandomComposite"): plots sampling pattern y on top of stratification x.
图signature(x = "CompactStratification", y = "SamplingPatternRandomComposite")：图采样模式y顶部分层x。




spsample signature(x = "CompactStratification", n = "missing", type = "missing"): returns the centers of gravity of each stratum.
spsample signature(x = "CompactStratification", n = "missing", type = "missing")：返回中心，各阶层的比重。




spsample signature(x = "CompactStratification", n = "numeric", type = "missing"): randomly selects n sampling points in each stratum.
spsample signature(x = "CompactStratification", n = "numeric", type = "missing")：随机选择n在各阶层的采样点。


（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)。


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