iArsenic –  Instant Arsenic screening of hand pump tubewells in Bangladesh

Live at https://portsoc.github.io/iArsenic

About

Web-based application to estimate arsenic levels in untested wells in Bangladesh.

Structure:

1. the main application is a set of static files:
   • the HTML and JS for the page that allows a user estimate arsenic levels
   • JS files with pre-processed data (see below)
   • request log backed by a Google Cloud Function with a database of requests
2. the estimation is based on input data with measured arsenic levels in wells in Bangladesh; this input data lives in data/
   • this data is processed statistically using one of the available models (see models/)
   • we don't process the data on every user request, but rather we pre-process it so we can satisfy user requests with a simple data lookup
   • a model generates aggregate data files that capture the estimate for every region (i.e. mouza) and every depth stratum and every combination of staining/flooding inputs, these become part of the static files above
3. every user request is logged in a little Google Cloud database (see server/) for usage analytics and to show impact

Components:

• data/ — source data

  • it specifies measured arsenic concentrations in tubewells around Bangladesh

• docs/ — the website hosted in GitHub Pages

• preprocessing/ — processing scripts

  • these turn data from the source CSV form into something consumed by the website and other tools
  • then there are tools for CLI running of estimates and testing

• preprocessing/geodata/ – scripts that use Bangladesh geo-boundary data

  • includes experiments with visualization of the various data we have

• server/ — server for request log database

  • in a Google Cloud Function

Original scripts in R can now be found here.