aggStrataSpatial: Builds the "strata" dataframe containing information on...

In SamplingStrata: Optimal Stratification of Sampling Frames for Multipurpose Sampling Surveys

Builds the "strata" dataframe containing information on target variables Y's distributions in the different strata, starting from a frame where units are spatially correlated.

Description

This function builds the dataframe "strata" considering as input a given domain in the sampling frame. The variance in each stratum is calculated by considering also the component of spatial autocorrelation.

Usage

aggrStrataSpatial(dataset,
            fitting,
            range,
            kappa, 
            vett, 
            dominio)

Arguments

dataset	This is the name of the dataframe containing the sample data, or the frame data. It is strictly required that auxiliary information is organised in variables named as X1, X2, ... , Xm (there should be at least one of them) and the target variables are denoted by Y1, Y2, ... , Yn. In addition, in case of sample data, a variable named 'WEIGHT' must be present in the dataframe, containing the weigths associated to each sampling unit
fitting	Fitting of the model(s). Default is 1.
range	Maximum range for spatial autocorrelation
kappa	Factor used in evaluating spatial autocorrelation. Default is 3.
vett	vector of values indicating how the units in the dataset must be aggregated in strata.
dominio	Value indicating the domain in the dataset to be processed.

Value

A dataframe containing strata

Author(s)

Giulio Barcaroli

Examples

## Not run: 
strata <- aggrStrataSpatial(dataset=frame,
                            fitting=1,
                            range=800,
                            kappa=1)

## End(Not run)

SamplingStrata documentation built on Nov. 16, 2022, 1:08 a.m.