A class for storing sampling units obtained by random sampling.
Objects can be created by calls of the form new("SamplingPatternRandomSamplingUnits", ...)
. However, objects are usually created by calling spsample
.
sample
:Object of class "SpatialPoints"
, containing the sampling locations.
Class "SamplingPatternRandom"
, directly.
Class "SamplingPattern"
, by class "SamplingPatternRandom", distance 2.
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 "SamplingPatternRandomSamplingUnits"
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
, i.e., "spatial mean"
, "spatial variance"
, "sampling variance"
, "standard error"
, SCDF
.
Dennis J. J. Walvoort dennis.walvoort@wur.nl, D.J. Brus, J.J. de Gruijter