MXL Consulting

This map is built using some (bad) Python and AWS Location Services. 

​

The problem I set out to solve was related to "Maptivism". Where there is publicly accessible data, how hard is it to take that data (typically in Excel or Text Files) and put it on a map so that residents can see how close or not they are to environmental issues.

​

This Specific example is using a publicly available spreadsheet of "Leaking Underground Storage Tanks" Published on the Indiana Department of Environmental Management (IDEM) web site.