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VALIDATION.md

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Validating the CLDF dataset

Run CLDF validation:

cldf validate cldf

Make sure the dataset can be loaded into SQLite:

rm -f laotpa.sqlite
cldf createdb cldf laotpa.sqlite

Technical validation experiments described in the paper

The following three cldfbench sub-commands will re-create data tables as CSV files in etc and corresponding figures - unless run with the --plot-only option, in which case the existing data will be used and only the plot will be recreated.

Running these commands requires "installing" the dataset via pip install -e ., to install cldfbench and register the subcommands.

  1. Polygons not intersecting with landmasses:

    cldfbench laotpa.landmass_distance -h
cldfbench laotpa.landmass_distance

  2. Distance between shapes and point coordinate of corresponding Glottolog language:

    cldfbench laotpa.glottolog_distance -h
cldfbench laotpa.glottolog_distance

  3. Spread of polygons for MultiPolygon shapes:

    cldfbench laotpa.multipolygon_spread -h
cldfbench laotpa.multipolygon_spread