@factotum @jpreisendoerfer I think using qth makes sense for that purpose, and geo for the #LocationLabels system, the latter bc it's aimed at international usage by common people. otherwise actual OLC already has a normative format (even for this region size using zero-padding), this is just a hashtag solution.
@jpreisendoerfer @factotum I know it's not trivial, which is part of why I use the more or less neighborhood precision of the #LocationLabels to do a rough match on a meaningful level, as in you can match things to be close enough and weed out the differences in a small post correction. You don't need it to be perfect, you just need it to be computationally feasible with the predicted amount of data. If you can contain location data in small enough boxes to figure it out one by one, that is good enough in practice. Which is also why I think that you cannot be format-agnostic here, you need to make a choice for the underlying format that is going to be the norm, and most formats CANNOT handle this. the #LocationLabels idea was come up with exactly to have a possible, even if rough, solution for this problem that is good enough for practical social network usage.
@helge @factotum @jpreisendoerfer also it's important to understand that the #LocationLabels use a region instead of a point, to guarantee searchability and privacy. if this is not implemented in the location property, it's by all intents and purposes a different thing.
@hrefna I implemented #LocationLabels using #UlamSpirals, for which I used the #OEIS to find an algorithm to iterate over the spiral (implemented at whenwhere.cf)
#locationlabels #ulamspirals #oeis
@jeroenclemens this is the kind of thing for which I want to make #LocationLabels a thing :)
Show off your favorite locations via @locationlabels !
Already start following the group to keep in touch, expect a more complete writeup #soon!
The idea is to set up a community that popularizes the idea of tagging location related things with #LocationLabels (#geo + the first 6 digits of your #PlusCode #OLC, tool available at https://whenwhere.cf) so you can start following labels around you and discover new things, activities and friends, and figure out things to do and people to meet when you go to new places!
For the planned writeup, please send your questions about this my way and invite people to join the community!
#GeoHashtags #locationlabels #soon #geo #pluscode #olc