Updated README.md

Changed the examples to work with new wordlist

added some exampel locations
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Tim Head 2014-11-21 11:50:45 +01:00
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These3Words
=============
Address any 3meter x 3meter square on earth with a unique three word name.
Remember a location anywhere in the world with just three words.
Inspired by http://what3words.com/
Try it: http://these3words.herokuapp.com/
Some interesting locations:
* [Battery Park, NYC][http://these3words.herokuapp.com/nikaya-caput-mahon]
* [Downtown San Francisco][http://these3words.herokuapp.com/stitt-budged-tower]
* [Sydney, Australia][http://these3words.herokuapp.com/scone-scud-inbox]
This app was inspired by http://what3words.com/
example
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>>> three = these.three_words(CERN)
>>> print three
'spitting-ripple-fontanel'
'closet-chou-maurel'
>>> these.decode(three)
(46.232335567474365, 6.055419445037842)
Check out where this is on [google maps][cernmap].
See where this is on [These3Words map][cernmap].
requirements
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>>> these.decode(six)
(46.256797313690186, 6.056792736053467)
The other CERN site is [here][othercernmap].
The other CERN site is [here][othercernmap] on a map.
webservice
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[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
[cernmap]: http://these3words.herokuapp.com/closet-chou-maurel
[othercernmap]: http://these3words.herokuapp.com/spaghetti-carolina-kentucky-utah-seventeen-neptune
[bottlepy]: http://bottlepy.org/
[betatim]: https://twitter.com/betatim
[kdungs]: https://twitter.com/kdungs