Metadata-Version: 1.1
Name: georaptor
Version: 2.0.1
Summary: A Python Geohash Compression Tool
Home-page: https://github.com/ashwin711/georaptor
Author: Ashwin Nair
Author-email: ashwinnair.ua@gmail.com
License: MIT
Download-URL: https://github.com/ashwin711/georaptor/tarball/2.0.1
Description: .. image:: http://donatecoins.org/btc/1HeMeMU2qUFDRZpRQMJ2v27Dw3h3gShJ5b.svg
           :target: http://donatecoins.org/btc/1HeMeMU2qUFDRZpRQMJ2v27Dw3h3gShJ5b
        
        GeoRaptor: Python Geohash Compression Tool
        ===========================================
        
        Geohash 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.
        
        Geohash creation for a polygon at a given precision level could result in a huge set of geohashes.
        
        **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.
        
        Following is a sample of what georaptor does
        
        .. image:: https://raw.github.com/ashwin711/georaptor/master/images/sgp_input.png
           :width: 480
           :height: 320
        .. image:: https://raw.github.com/ashwin711/georaptor/master/images/sgp_output.png
           :width: 480
           :height: 320
        
        
        *Input:* 1096 geohashes at precision 6 for Singapore.
        
        *Output:* 414 geohashes with a mix of precision 5 and 6.
        
        Performance
        -----------
        
        **Input sample size:** 18,992,425
        
        **Output:** 220,375
        
        **Total execution time:** 35.8013219833 seconds
        
        Usage
        -----
        
        $ georaptor <input> --output <output>
        
        
        Example
        -------
        
        $ georaptor sample.csv
        
        OR
        
        $ georaptor sample.csv --output sample_out.csv --minlevel 3 --maxlevel 4
        
        
        Installation
        ------------
        
        To install georaptor, simply: ::
        
            $ pip install georaptor
        
        
        License:
        --------
        
        MIT License. ::
        
            Copyright (c) 2016, Ashwin Nair <https://www.linkedin.com/in/nairashwin7>
        
            Permission is hereby granted, free of charge, to any person obtaining a copy
            of this software and associated documentation files (the "Software"), to
            deal in the Software without restriction, including without limitation the
            rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
            sell copies of the Software, and to permit persons to whom the Software is
            furnished to do so, subject to the following conditions:
        
            The above copyright notice and this permission notice shall be included in
            all copies or substantial portions of the Software.
        
            THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
            IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
            FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
            AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
            LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
            FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
            IN THE SOFTWARE.
        
Keywords: geohash,optimizer,compression
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Utilities
