Description Objects from the Class Slots Extends Methods Author(s)

A class for storing a stratification with compact strata of equal size.

Objects can be created by calls of the form `new("CompactStratificationEqualArea", cells, stratumId, centroids, mssd)`

. However, objects are usually created by calling `stratify`

.

`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.

Class `"CompactStratification"`

, directly.
Class `"Stratification"`

, by class "CompactStratification", distance 2.

- estimate
`signature(statistic = "SamplingVariance", stratification = "CompactStratificationEqualArea", samplingPattern = "SamplingPatternRandomComposite", data = "data.frame")`

: estimates the sampling variance. See`"SamplingVariance"`

for more details.- estimate
`signature(statistic = "SpatialMean", stratification = "CompactStratificationEqualArea", samplingPattern = "SamplingPatternRandomComposite", data = "data.frame")`

: estimates the spatial mean. See`"SpatialMean"`

for more details.- spsample
`signature(x = "CompactStratificationEqualArea", n = "missing", type = "missing")`

: returns the centers of gravity of each stratum.- spsample
`signature(x = "CompactStratificationEqualArea", n = "numeric", type = "missing")`

: randomly selects`n`

sampling points in each stratum.- spsample
`signature(x = "CompactStratificationEqualArea", n = "numeric", type = "character")`

: randomly selects`n`

sampling points in each stratum. if`type = "composite"`

, stratified simple random sampling of*n*composites.

Dennis J. J. Walvoort [email protected], D.J. Brus, J.J. de Gruijter

spcosa documentation built on May 29, 2017, 10:16 p.m.

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