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 incells
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")
: estimatesstatistic
, one ofspatial mean
,spatial variance
,SCDF
,sampling variance
, orstandard 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 stratificationx
.- plot
signature(x = "CompactStratification", y = "SamplingPattern")
: plots sampling patterny
on top of stratificationx
.- plot
signature(x = "CompactStratification", y = "SamplingPatternPriorPoints")
: plots sampling patterny
on top of stratificationx
.- plot
signature(x = "CompactStratification", y = "SamplingPatternRandomComposite")
: plots sampling patterny
on top of stratificationx
.- 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 selectsn
sampling points in each stratum.
Author(s)
Dennis J. J. Walvoort dennis.walvoort@wur.nl, D.J. Brus, J.J. de Gruijter