{
"info": {
"author": "Ashwin Nair",
"author_email": "ashwinnair.ua@gmail.com",
"bugtrack_url": null,
"classifiers": [
"Development Status :: 5 - Production/Stable",
"Environment :: Console",
"Intended Audience :: Developers",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Utilities"
],
"description": ".. image:: http://donatecoins.org/btc/1HeMeMU2qUFDRZpRQMJ2v27Dw3h3gShJ5b.svg\n :target: http://donatecoins.org/btc/1HeMeMU2qUFDRZpRQMJ2v27Dw3h3gShJ5b\n\nGeoRaptor: Python Geohash Compression Tool\n===========================================\n\nGeohash is a geocoding system invented by Gustavo Niemeyer and placed into the public domain. It is a hierarchical spatial data structure which subdivides space into buckets of grid shape, which is one of the many applications of what is known as a Z-order curve, and generally space-filling curves.\n\nGeohash creation for a polygon at a given precision level could result in a huge set of geohashes.\n\n**GeoRaptor** creates the best combination of geohashes across various levels to represent a polygon, by starting from the highest level and iterating till the optimal blend is brewed. Result accuracy remains the same as that of the starting geohash level, but data size reduces considerably for large polygons, thereby improving speed and performance.\n\nFollowing is a sample of what georaptor does\n\n.. image:: https://raw.github.com/ashwin711/georaptor/master/images/sgp_input.png\n :width: 480\n :height: 320\n.. image:: https://raw.github.com/ashwin711/georaptor/master/images/sgp_output.png\n :width: 480\n :height: 320\n\n\n*Input:* 1096 geohashes at precision 6 for Singapore.\n\n*Output:* 414 geohashes with a mix of precision 5 and 6.\n\nPerformance\n-----------\n\n**Input sample size:** 18,992,425\n\n**Output:** 220,375\n\n**Total execution time:** 35.8013219833 seconds\n\nUsage\n-----\n\n$ georaptor --output