[FEATURE] Create a single shapefile combining weighted voronoi and wealth index

[sunayana]

Aim of the feature:

• [x] Reduce the DHS file IAHR74FL.SAV from household recode to the main indexes : DHSCLUST, HV270, HV271
• [x] Merge it with the clipped weighted voronoi shape file
• [x] Write the merged dataframe to a new shapefile

Outcome When this process is complete we will have the complete pipeline of assigning wealth indexes to the DHS clusters directly from DHS datasets and not rely on the DHS_PROCESSED_CLEANED.csv.

[sunayana]

@cmougan , @GvdDool , @rohaan2614 : So this commit resolves the issue of creating our own shapefile from clipped voronoi shape file and DHS data file IAHR74FL.SAV. Now we do not depend on file from Omdena and everything is transparent to us. You can check the methods: read_and_reduce_sav in data_prep_voronoi.py to see how the aggregation is done. The example ipython notebook is read_sav.ipynb.

[rohaan2614]

This is incredible!! Sunayana, You are a gem!! :)

On Fri, 7 May 2021 at 19:44, Sunayana Ghosh @.***> wrote:

@cmougan https://github.com/cmougan , @GvdDool https://github.com/GvdDool , @rohaan2614 https://github.com/rohaan2614 : So this commit resolves the issue of creating our own shapefile from clipped voronoi shape file and DHS data file IAHR74FL.SAV. Now we do not depend on file from Omdena and everything is transparent to us. You can check the methods: read_and_reduce_sav in data_prep_voronoi.py to see how the aggregation is done. The example ipython notebook is read_sav.ipynb.

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