CompactStratification-class: Class "CompactStratification"

Description

A class for storing a stratification with compact strata.

Arguments

Objects from the Class

Objects can be created by calls of the form new("CompactStratification", cells, stratumId, centroids, mssd). However, objects are usually created by calling stratify.

Slots

cells:: Object of class "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 "SpatialPoints", representing the centers of gravity of each stratum.
mssd:: Object of class "numeric", representing the mean squared shortest distance.

Extends

Class "Stratification", directly.

Methods

coerce: signature(from = "CompactStratification", to = "data.frame"): coerces to "data.frame".
coerce: signature(from = "CompactStratification", to = "SpatialPixels"): coerces to "SpatialPixels".
coerce: signature(from = "CompactStratification", to = "SpatialPixelsDataFrame"): coerces to "SpatialPixelsDataFrame".
estimate: signature(statistic = "SamplingVariance", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame"): estimates the sampling variance. See "SamplingVariance" for more details.
estimate: signature(statistic = "SpatialCumulativeDistributionFunction", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame"): estimates the spatial cumulative distribution function (SCDF). See "SpatialCumulativeDistributionFunction" for more details.
estimate: signature(statistic = "SpatialMean", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame"): estimates the spatial mean. See "SpatialMean" for more details.
estimate: signature(statistic = "SpatialVariance", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame"): estimates the spatial variance. See "SpatialVariance" for more details.
estimate: signature(statistic = "StandardError", stratification = "CompactStratification", samplingPattern = "SamplingPatternRandomSamplingUnits", data = "data.frame"): estimates the standard error of the spatial mean. See "StandardError" for more details.
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.
getArea: signature(object = "CompactStratification"): returns the area of each stratum.
getCentroid: signature(object = "CompactStratification"): returns the center of gravity of each stratum.
getNumberOfStrata: signature(object = "CompactStratification"): returns the number of strata.
getObjectiveFunctionValue: signature(object = "CompactStratification"): extracts the mean squared shortest distance.
getRelativeArea: signature(object = "CompactStratification"): returns the relative area of each stratum. The sum of the relative areas equals one.
plot: signature(x = "CompactStratification", y = "missing"): plots stratification x.
plot: signature(x = "CompactStratification", y = "SamplingPattern"): plots sampling pattern y on top of stratification x.
plot: signature(x = "CompactStratification", y = "SamplingPatternPriorPoints"): plots sampling pattern y on top of stratification x.
plot: signature(x = "CompactStratification", y = "SamplingPatternRandomComposite"): plots sampling pattern y on top of stratification x.
spsample: signature(x = "CompactStratification", n = "missing", type = "missing"): returns the centers of gravity of each stratum.
spsample: signature(x = "CompactStratification", n = "numeric", type = "missing"): randomly selects n sampling points in each stratum.

Author

Dennis J. J. Walvoort dennis.walvoort@wur.nl, D.J. Brus, J.J. de Gruijter