Optimal Stratification of Sampling Frames for Multipurpose Sampling Surveys
Adjustment of the sample size in case it is externally given
Builds the "strata" dataframe containing information on target variabl...
Builds the "strata" dataframe containing information on target variabl...
Function to assign the optimized strata labels
Multivariate optimal allocation
Builds the "sampling frame" dataframe from a dataset containing inform...
Builds the "sampling frame" dataframe from a dataset containing inform...
Builds the "strata" dataframe containing information on target variabl...
Builds the "strata" dataframe containing information on target variabl...
Checks the inputs to the package: dataframes "errors", "strata" and "s...
Function that allows to calculate a heteroscedasticity index, together...
Evaluation of the solution produced by the function 'optimizeStrata' b...
Expected coefficients of variation of target variables Y
Initial solution obtained by applying kmeans clustering of atomic stra...
Initial solution obtained by applying kmeans clustering of frame units
Initial solution obtained by applying kmeans clustering of frame units
Best stratification of a sampling frame for multipurpose surveys
Best stratification of a sampling frame for multipurpose surveys (only...
Best stratification of a sampling frame for multipurpose surveys consi...
Optimization of the stratification of a sampling frame given a sample ...
Plotting sampling rates in the different strata for each domain in the...
Plot bivariate distibutions in strata
Prepare suggestions for optimization with method = "continuous" or "sp...
Procedure to apply Bethel algorithm and select a sample from given str...
Selection of a stratified sample from the frame with srswor method
Selection of geo-referenced points from the frame
Selection of a stratified sample from the frame with systematic method
Information on strata structure
Execution and compared evaluation of optimization runs
Updates the initial frame on the basis of the optimized stratification
Assigns new labels to atomic strata on the basis of the optimized aggr...
Allows to transform a continuous variable into a categorical ordinal o...
Tools for the optimization of stratified sampling design. It determines a stratification of a sampling frame that minimizes sample cost while satisfying precision constraints in a multivariate and multidomain context. The approach relies on a genetic algorithm; each candidate partition of the frame is an individual whose fitness is evaluated via the Bethel-Chromy allocation to meet target precisions. Functions support analysis of optimization results, labeling of the frame with new strata, and drawing a sample according to the optimal allocation. Algorithmic components adapt code from the 'genalg' package. See M. Ballin and G. Barcaroli (2020) "R package SamplingStrata: new developments and extension to Spatial Sampling" <doi:10.48550/arXiv.2004.09366>.
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