| CompactStratification-class | R Documentation |
A class for storing a stratification with compact strata.
Objects can be created by calls of the form
new("CompactStratification", cells, stratumId, centroids, mssd). However, objects are usually
created by calling stratify.
cells:Object of class "sp::SpatialPixels", representing the area to be partitioned.
stratumId:Object of class "integer", indicating to which stratum each cell in cells belong.
centroids:Object of class "sp::SpatialPoints", representing the centers of gravity of each stratum.
mssd:Object of class "numeric", representing the mean squared shortest distance.
Class "Stratification", directly.
signature(from = "CompactStratification", to = "data.frame"): coerces to "data.frame".
signature(from = "CompactStratification", to = "SpatialPixels"): coerces to "SpatialPixels".
signature(from = "CompactStratification", to = "SpatialPixelsDataFrame"): coerces to "sp::SpatialPixelsDataFrame".
signature(statistic = "SamplingVariance", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame"): estimates the sampling variance. See "SamplingVariance" for more details.
signature(statistic = "SpatialCumulativeDistributionFunction", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame"): estimates the spatial cumulative distribution function (SCDF). See "SpatialCumulativeDistributionFunction" for more details.
signature(statistic = "SpatialMean", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame"): estimates the spatial mean. See "SpatialMean" for more details.
signature(statistic = "SpatialVariance", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame"): estimates the spatial variance. See "SpatialVariance" for more details.
signature(statistic = "StandardError", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame"): estimates the standard error of the spatial mean. See "StandardError" for more details.
signature(statistic = "character", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame"): estimates statistic, one of spatial mean, spatial variance, SCDF, sampling variance, or standard error.
signature(object = "CompactStratification"): returns the area of each stratum.
signature(object = "CompactStratification"): returns the center of gravity of each stratum.
signature(object = "CompactStratification"): returns the number of strata.
signature(object = "CompactStratification"): extracts the mean squared shortest distance.
signature(object = "CompactStratification"): returns the relative area of each stratum. The sum of the relative areas equals one.
signature(x = "CompactStratification", y = "missing"): plots stratification x.
signature(x = "CompactStratification", y = "SamplingPattern"): plots sampling pattern y on top of stratification x.
signature(x = "CompactStratification", y = "SamplingPatternPriorPoints"): plots sampling pattern y on top of stratification x.
signature(x = "CompactStratification", y = "SamplingPatternRandomComposite"): plots sampling pattern y on top of stratification x.
signature(x = "CompactStratification", n = "missing", type = "missing"): returns the centers of gravity of each stratum.
signature(x = "CompactStratification", n = "numeric", type = "missing"): randomly selects n sampling points in each stratum.
Dennis J. J. Walvoort dennis.walvoort@wur.nl, D.J. Brus, J.J. de Gruijter
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