I actually needed this at work once! We needed to fuzz peoples address in a mapped view for analytics, without revealing PII. It ended up never being shipped, but we needed to fuzz geographic data and the thinking was like:

1. Truncate your lat longs to some arbitrary decimal place (this is very very stupid, you end up with grid lines [1])

2. The above method ^^ but everyone tries basically doing like random angle + random length along angle, which doesn't generate uniform results in a circle as the article mentions[2]. So then you try generating points in a box that encloses your circle, and rejecting anything outside the circle, but that smells bad. So you do some googling and find method 6 listed in the article (Good! and Fast!)

3. Realize that fuzzing points is stupid, what you really want is to view points in aggregate anyways, so you try heat maps

[1]: Ok you always end up with grid lines, but truncating to like 1-6 decimal places produces very obvious grid lines to the human eye

[2]: Try this in pyplot! You'll see right away with ~100 points its not uniform in the way you expect