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Merge pull request #5 from TUW-GEO/readme
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Update readme
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sebhahn authored Mar 26, 2018
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Changelog
=========

Version 0.X
===========

- Update readme

Version 0.4
===========

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61 changes: 51 additions & 10 deletions README.rst
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.. image:: https://badge.fury.io/py/repurpose.svg
:target: http://badge.fury.io/py/repurpose

.. image:: https://zenodo.org/badge/12761/TUW-GEO/repurpose.svg
:target: https://zenodo.org/badge/latestdoi/12761/TUW-GEO/repurpose
.. image:: https://readthedocs.org/projects/repurpose/badge/?version=latest
:target: http://repurpose.readthedocs.org/


This package provides routines for the conversion of image formats to time
series and vice versa. It is part of the `poets° project
Expand All @@ -26,6 +27,30 @@ The readers and writers have to conform to the API specifications of the base
classes defined in `pygeobase <https://github.com/TUW-GEO/pygeobase>`_ to work
without adpation.

Citation
========

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.593577.svg
:target: https://doi.org/10.5281/zenodo.593577

If you use the software in a publication then please cite it using the Zenodo DOI.
Be aware that this badge links to the latest package version.

Please select your specific version at https://doi.org/10.5281/zenodo.593577 to get the DOI of that version.
You should normally always use the DOI for the specific version of your record in citations.
This is to ensure that other researchers can access the exact research artefact you used for reproducibility.

You can find additional information regarding DOI versioning at http://help.zenodo.org/#versioning

Installation
============

This package should be installable through pip:

.. code::
pip install repurpose
Modules
=======

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- ``ts2img`` for time series to image conversion, including support for temporal
resampling. This module is very experimental at the moment.

Documentation
=============

|Documentation Status|

.. |Documentation Status| image:: https://readthedocs.org/projects/repurpose/badge/?version=latest
:target: http://repurpose.readthedocs.org/

Alternatives
============

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- `netCDF Operators (NCO) <http://nco.sourceforge.net/#Definition>`_ are similar
to CDO with a stronger focus on netCDF.

Contribute
==========

We are happy if you want to contribute. Please raise an issue explaining what
is missing or if you find a bug. We will also gladly accept pull requests
against our master branch for new features or bug fixes.

Development setup
-----------------

For Development we recommend a ``conda`` environment

Guidelines
----------

If you want to contribute please follow these steps:

- Fork the repurpose repository to your account
- make a new feature branch from the repurpose master branch
- Add your feature
- Please include tests for your contributions in one of the test directories.
We use py.test so a simple function called test_my_feature is enough
- submit a pull request to our master branch

Note
====

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