CompactStratification-class {spcosa}R Documentation

Class "CompactStratification"

Description

A class for storing a stratification with compact strata.

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(s)

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


[Package spcosa version 0.1-5 Index]