these-3-words ============= Address any 3x3meter square on earth with a unique three word name. Inspired by http://what3words.com/ example ======= >>> import thesethreewords as these # the home of particle physics >>> CERN = (46.232355, 6.055419) >>> three = these.three_words(CERN) >>> print three 'engirt-aleutic-canun' >>> these.decode(three) (46.232335567474365, 6.055419445037842) Check out where this is on [google maps][cernmap]. requirements ============ You need to install the [geohash][geohash] library: $ pip install geohash six words ========= There are a lot of 3x3m squares on the earth's surface. To encode them in only three words requires a long wordlist, as a result some fairly obscure words get on it. If you can live with having to remember six words the wordlist is much shorter. The six word wordlist comes from the amazing [humanhash][humanhash] library. Words were chosen to maximise clarity in human communication. >>> six = these.six_words(CERN) >>> print six 'spaghetti-carolina-kentucky-oscar-iowa-table' >>> these.decode(six) (46.232335567474365, 6.055419445037842) how it works ============ Each latitude/longitude pair is converted to a nine character geohash. This provides about 3meter resolution at all latitudes. The geohash is then converted to an integer which is encoded as a string of words. The wordlist used to encode the `geohash` into just three words uses your local computers dictionary. Some attempts are made to remove really obscure words but it could be better. You need to use the same wordlist when encoding and decoding a `these-3-words` hash. The `these-3-words` hash shares the property of a `geohash` that nearby locations share have similar `these-3-words` hashes >>> other_CERN_site = (46.256811, 6.056792) >>> six = these.six_words(other_CERN_site) >>> print six ''spaghetti-carolina-kentucky-utah-seventeen-neptune' >>> these.decode(six) (46.256797313690186, 6.056792736053467) The other CERN site is [here][othercernmap]. this is a [@betatim][betatim] kind of idea [humanhash]: https://github.com/zacharyvoase/humanhash [geohash]: https://code.google.com/p/python-geohash/ [cernmap]: https://www.google.ch/maps/place/46%C2%B013'56.4%22N+6%C2%B003'19.5%22E/@46.2323356,6.0554194,17z/data=!3m1!4b1!4m2!3m1!1s0x0:0x0 [othercernmap]: https://www.google.ch/maps/place/46%C2%B015'24.5%22N+6%C2%B003'24.4%22E/@46.256811,6.056792,14z/data=!4m2!3m1!1s0x0:0x0 [betatim]: https://twitter.com/betatim