be able to add some attributes to a preexisting population

[samthiriot]

Use case 1: augment an existing dataset

• a GoSPL population is already available from data (like a list of buildings)
• we want to add two other attributes which depend of existing ones, based on contigency tables

Use case 2: chain different GoSPL tools

• use IPF to reweight an available dataset, thus creating a synthetic population A
• add some other attributes which are not in the sample, for which we have frequency tables

[samthiriot]

developed a proof of concept which takes a sample (read from CSV), and adds other attributes based on the existing ones using probabilities provided as a bayesian network.

We would have to exchange more on the semantics of such a wrapper and define the interface for such a sampler which augments attributes based on existing ones