Metadata-Version: 1.2
Name: gnss-tec
Version: 1.0.2
Summary: Total electron content reconstruction using GNSS data
Home-page: https://github.com/gnss-lab/gnss-tec
Author: Ilya Zhivetiev
Author-email: i.zhivetiev@gnss-lab.org
License: MIT
Description-Content-Type: UNKNOWN
Description: ========
        gnss-tec
        ========
        
        gnss-tec is a Python package to reconstruct slant total electron content in the
        ionosphere using data provided by global navigation satellite systems (GPS,
        GLONASS, etc.). The module uses carrier phase and pseudo-range measurements
        from RINEX observation files as input.
        
        ********
        Features
        ********
        
        * phase & pseudo-range TEC reconstruction
        * RINEX v2.n & 3.n support
        
        *****
        Usage
        *****
        
        A short usage example::
        
            from gnss_tec import rnx
            from gnss_tec.glo import collect_freq_nums
        
            glo_freq_nums = collect_freq_nums('site0390.17g')
        
            with open('site0390.17o') as obs_file:
                reader = rnx(obs_file, glo_freq_nums=glo_freq_nums)
                for tec in reader:
                    print(
                        '{} {}: {} {}'.format(
                            tec.timestamp,
                            tec.satellite,
                            tec.phase_tec,
                            tec.p_range_tec,
                        )
                    )
        
        ************
        Installation
        ************
        
        $ pip install gnss-tec
        
        *******
        License
        *******
        
        Distributed under the terms of the
        `MIT <https://github.com/gnss-lab/gnss-tec/blob/master/LICENSE.txt>`_
        license, gnss-tec is free and open source software.
        
        Copyright Ilya Zhivetiev, 2018.
        
Keywords: ionosphere gnss tec development
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3
