A method to use user-submitted DNA-data files and Geolocation to rank the probability of having a co
For the last few months I've developed a method to find common ancestors using GIS and DNA analysis.
Using this method, by hand, I was able to track a common ancestor 7 generations ago with a distant cousin in Pennsylvania. (I now live in the states, but I'm fifth generation Argentinian). The grandmother of my newly discovered cousin was a natural child, so we couldn't use the regular process to find where were we connected. With my method I could identify what was the most likely branch of my tree, and the time and location where our common ancestor lived.
With that success, and since my bills-paying job is as a Data Scientist, I took a couple of days off to automatize the process.
Unfortunately, I don't have access to Family Search API, so I had to download the individual GEDs using a third party tool (RootsMagic).
Family Search could easily run these processes in the background and give suggestions to researches of where most likely their trees should be connected.
Furthermore, with more and more DNA data available for Family Search (as users start using this functionality) new connections could be inferred that would be impossible by just comparing two DNA files.
I published a brief demonstration of the mapping (though not the ranking) in LinkedIn:
Please, contact me if you want to know more.