Find our paper here: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0256821
This repository contains experiments on facility location optimization, applied towards a case study on Antipolo City.
- The RHU Tagging notebook contains the code that geotags the Rural Health Units in Antipolo city, using the Google Geotagging API.
- The Worldpop notebook contains the code that takes the tif file from the Worldpop website, and transforms it into a csv for use.
- The Optimization Antipolo notebook contains a bulk of the code, that generates the candidate sites, computes demand, and selects optimized facility locations.