Metadata-Version: 2.1
Name: neathgeohash
Version: 0.4.0
Summary: Python module for interacting with geohashes
Home-page: https://github.com/mpdwulit/neathgeohash
Author: Marek Dwulit
Author-email: marek.dwulit@gmail.com
License: MIT
Download-URL: https://github.com/mpdwulit/neathgeohash/tarball/0.4.0
Description: neathgeohash
        ============
        
        [![Coverage Status](https://coveralls.io/repos/github/mpdwulit/neathgeohash/badge.svg?branch=master)](https://coveralls.io/github/mpdwulit/neathgeohash?branch=master)  ![travis status](https://travis-ci.org/mpdwulit/neathgeohash.svg?branch=master) 
        
        Neathgeohash is a Python module that provides functions for finding an approximation of an ellipsoid (a surface)
        with a set of geohashes. Assuming that the ellipsoid represents positioning error EEP the module computes probability
        for each goehash covered by ellipsoid. The geohash approximation can be retrieved as geojson.
        
        The example shows ellipsoid with the ellipse center at 51.00 lattitude and 0 longitude and 305m major and 385m minor
        
        Example 1::
        
        ```
        import neathgeohash
        ellipse = ngh.Ellipse(51, 0, 305, 385, 0)
        ellipse_as_ghl = ellipse.estimate_probability_coverage_with_fixed_geohash_depth()
        print(ellipse_as_ghl)
        
        {'gcpfpur': 0.0701562499999992, 'gcpfpuq': 0.05140624999999959, 'gcpfpuw': 0.020625000000000015, 
        'gcpfpux': 0.02828125000000002, 'u1040h8': 0.02781250000000002, 'u1040h2': 0.06640624999999928, 
        'u1040h0': 0.06609374999999929, 'gcpfpun': 0.048437499999999654, 'gcpfpum': 0.03515624999999994, 
        'gcpfput': 0.013906250000000009, 'gcpfpup': 0.060624999999999395, 'gcpfpuj': 0.02734375000000002, 
        'gcpfpuv': 0.0031250000000000006, 'gcpfpuy': 0.004843750000000002, 'gcpfpuz': 0.005468750000000002, 
        'u1040hb': 0.0029687500000000005, 'u1040hc': 0.00234375, 'u1040h9': 0.021562500000000016, 
        'u1040h3': 0.05515624999999951, 'u1040h1': 0.048437499999999654, 'u10405c': 0.018750000000000013, 
        'gcpfpgz': 0.022812500000000017, 'gcpfpgv': 0.011093750000000006, 'gcpfpuk': 0.01687500000000001, 
        'gcpfpus': 0.008437500000000004, 'gcpfpuh': 0.01484375000000001, 'gcpfpuu': 0.0009375000000000001, 
        'u10405b': 0.024062500000000018, 'gcpfpgy': 0.01703125000000001, 'gcpfpgu': 0.0057812500000000025, 
        'gcpfpvn': 0.00015625, 'gcpfpvp': 0.00015625, 'u1040j0': 0.000625, 'u1040j1': 0, 'u1040hf': 0.0009375000000000001, 
        'u1040hd': 0.01625000000000001, 'u1040h6': 0.03281249999999999, 'u1040h4': 0.028593750000000022, 
        'u10405f': 0.010312500000000006, 'u10405d': 0.00109375, 'u104058': 0.0028125000000000003, 
        'gcpfpgw': 0.0017187499999999998, 'gcpfpgs': 0.000625, 'gcpfpu7': 0.005937500000000003, 
        'gcpfpue': 0.0018749999999999997, 'gcpfpu5': 0.005937500000000003, 'gcpfpug': 0.00046875, 
        'gcpfpgg': 0.0020312499999999996, 'u104059': 0.005312500000000002, 'gcpfpgx': 0.003906250000000001, 
        'gcpfpgt': 0.0021874999999999998, 'gcpfpge': 0.00015625, 'u1040hg': 0.000625, 'u1040he': 0.006718750000000003, 
        'u1040h7': 0.01609375000000001, 'u1040h5': 0.01593750000000001, 'u10405g': 0.004218750000000001, 
        'u10405e': 0.00078125, 'u1040hu': 0.00046875, 'u1040hs': 0.00140625, 'u1040hk': 0.005000000000000002, 
        'u1040hh': 0.007031250000000004, 'u10405u': 0.0015624999999999999, 'u10405s': 0.00046875}
        
        ```
        
        
        Example 2::
        
        ![Example](https://github.com/mpdwulit/neathgeohash/blob/dev/samples/ellipse_coverage.png)
        
        To see image follow the url: https://github.com/mpdwulit/neathgeohash/blob/master/samples/ellipse_coverage.geojson
        
        
        TODO
        ====
        
        1. Add more efficient implementation for finding geohash coverage
        2. Add Box-Muller Sampling from multivariate normal distribution
        3. Improve Monte Carlo integration
        
        License
        =======
        
        Copyright (c) 2020 Marek Dwulit
        
        MIT License
        
        
        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, GIS, latitude, longitude, encode, decode, Galileo, GPS, WGS84, coordinates, geotagging.
        
        
Keywords: geohash gis eep95 conf95
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
