NevadaM/geoconstrained-Voronoi

A python module for building geographically mapped Voronoi cells, used in my case to build healthcare analysis of South Africa with healthsites.io and WorldPop datasets # THIS README IS UNDER CONSTRUCTION. USE example_notebook.ipynb AND THE MEDIUM ARTICLE LINKED BELOW FOR A SUMMARY OF THIS WORK (research paper will also come soon) # geoconstrained-Voronoi A python module for building geographically mapped Voronoi cells, used in my case to build healthcare analysis with healthsites.io and WorldPop datasets. This is the clean version of the code I did for this piece of data science . ## Index * gcVoronoi.py is the module built to automate the process. It's not easy to explain the way the methods work but they do, so that's all that matters right? * SA_v1.ipynb is the notebook developed for the above piece, which shows how to use the module alongside the method I did to integrate WorldPop data into the project. It takes a while to run, so be careful. * results/hospitals_w_population contains a healthsites shapefile for South African hospitals, with an extra column for population in their corresponding Voronoi cell (see the notebook for context) * results/cells_w_population contains a shapefile for the geoconstrained Voronoi cells of SA_v1.ipynb , with an extra column for population within them (see the notebook for context) * results/interactive_choropleth.html is an interactive map built to showcase final results. ## Images ## Contact neil.majithia@live.co.uk