spsample-methods(spcosa)
spsample-methods()所属R语言包：spcosa
Spatial Sampling of Compact Strata
空间紧凑型分层抽样中
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Methods for sampling in compact strata.
在紧凑的地层取样的方法。
方法----------Methods----------
x = "CompactStratification", n = "missing", type = "missing" samples the centroids of each stratum.
X =“CompactStratification”，N =“失踪”，“失踪”的样品各阶层的重心。
x = "CompactStratification", n = "numeric", type = "missing" stratified simple random sampling with n samples per stratum.
所述=“CompactStratification”，N =“数字”，“失踪”分层简单随机抽样的n地层样品每。
x = "CompactStratificationEqualArea", n = "numeric", type = "character" if type = "composite", stratified simple random sampling of n composites.
X =的“CompactStratificationEqualArea”，N =“数字”，“字”，如果type = "composite"，分层简单随机抽样的n复合材料。
x = "CompactStratificationPriorPoints", n = "missing", type = "missing" spatial infill sampling
X =“CompactStratificationPriorPoints”，N =“失踪”，“失踪”的空间加密采样
参见----------See Also----------
stratify for stratification, spsample for other types of spatial sampling, and estimate for inference.
stratify分层，spsample其他类型的空间采样，并estimate推论。
实例----------Examples----------
## Not run: [＃不运行：]
# read a vector representation of the `Farmsum' field (by means of rgdal-package)[读Farmsum字段的向量表示（通过的rgdal封装）]
shpFarmsum <- readOGR(dsn = system.file("maps", package = "spcosa"), layer = "farmsum")
# stratify `Farmsum' into 50 strata[分层Farmsum到50阶层]
myStratification <- stratify(shpFarmsum, nStrata = 50)
# sample two sampling units per stratum[每个阶层的样品抽样单位]
mySamplingPattern <- spsample(myStratification, n = 2)
# plot the resulting sampling pattern[绘制得到的采样模式]
plot(myStratification, mySamplingPattern)
## End(Not run)[＃（不执行）]
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 14:30:55
