# PyGeodesy 18.3.8

Pure Python geodesy tools

A pure Python implementation of geodesy tools for various ellipsoidal and spherical earth models using precision trigonometric, vector-based and approximate methods for geodetic (lat-/longitude) and geocentric cartesian (x/y/z) coordinates.

Transcribed from JavaScript originals by Chris Veness (C) 2005-2016 and published under the same MIT License.

There are two modules for ellipsoidal earth models, ellipsoidalVincenty and -Nvector and two for spherical ones, sphericalTrigonometry and -Nvector. Each module provides a LatLon class with methods and functions to compute distance, initial and final bearing, intermediate and nearest points, area, perimeter, conversions and unrolling, among other things. For more information and further details see the documentation, the descriptions of Latitude/Longitude, Vincenty and Vector-based geodesy and the original JavaScript source or docs.

Also included are modules for conversions to and from UTM (Universal Transverse Mercator) and Web Mercator (Pseudo-Mercator) coordinates, MGRS (NATO Military Grid Reference System) and OSGR (British Ordinance Survery Grid Reference) grid references and a module for encoding and decoding Geohashes.

Two other modules provide Lambert conformal conic projections and positions (from John P. Snyder, Map Projections – A Working Manual, 1987, pp 107-109) and several functions to simplify or linearize a path of LatLon points (or a NumPy array), including implementations of the Ramer-Douglas-Peucker, the Visvalingam-Whyatt and the Reumann-Witkam algorithms and modified versions of the former.

All Python source code has been statically checked with PyChecker, PyFlakes, PyCodeStyle (formerly Pep8) and McCabe using Python 2.7.14 and with Flake8 on Python 3.6.4, both in 64-bit on macOS 10.13.3 High Sierra.

The tests have been run in 64-bit with PyPy-Python 2.7.13, Python 2.7.14 (with geographiclib 1.49 and numpy 1.14.0), Intel-Python 3.5.3 (and numpy 1.11.3) and Python 3.6.4, all on macOS 10.13.3 High Sierra and with Pythonista 3.2 Python 2.7.12 and 3.6.1 (both with numpy 1.8.0) on iOS 11.2.1.

Previously, the tests were run with 64-bit Python 2.6.9 (and numpy 1.6.2), 2.7.10 (and numpy 1.8.0rc1), 2.7.13, 2.7.14 (and numpy 1.13.1), 3.5.3, 3.6.2 and 3.6.3 on MacOS X 10.10 Yosemite, MacOS X 10.11 El Capitan and/or macOS 10.12 Sierra, with Pythonista 3.1 on iOS 10.3.3, 11.0.3 and 11.1.2, with 32-bit Python 2.6.6 on Windows XP SP3 and with 32-bit Python 2.7.14 on Window 10 Pro.

In addition to the PyGeodesy package, the distribution files contain the tests, the test results and the complete documentation generated by Epydoc using command line: epydoc --html --no-private --no-source --name=PyGeodesy --url=... -v pygeodesy.

To install PyGeodesy, type pip install PyGeodesy or easy_install PyGeodesy in a terminal or command window. Alternatively, download PyGeodesy- from PyPI or GitHub, unzip the downloaded file, cd to directory PyGeodesy- and type python setup.py install. To run all PyGeodesy tests, type python setup.py test before installation.

Installation of NumPy and GeographicLib is optional, but the latter is required for two ellipsoidalVincenty functions, areaOf and perimeterOf.

Some function and method names differ from the JavaScript version. In such cases documentation tag JS name: shows the original JavaScript name.

Last updated: Mar 08, 2018.

Copyright (C) 2016-2018 -- mrJean1 at Gmail dot com

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File Type Py Version Uploaded on Size
Python Wheel py2.py3 2018-03-09 149KB
Source 2018-03-09 907KB
• Author: Jean M. Brouwers