=================================
Digitizing stratigraphic diagrams
=================================
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**This module is not maintained!!!**
STRADITIZE (Stratigraphic Diagram Digitizer) is an open-source program that
allows stratigraphic figures to be digitized in a single semi-automated
operation. It is designed to detect multiple plots of variables analyzed along
the same vertical axis, whether this is a sediment core or any similar
depth/time series.
Usually, in an age of digital data analysis, gaining access to data from the
pre-digital era – or any data that is only available as a figure on a page –
remains a problem and an under-utilized scientific resource.
This program tackles this problem by providing a python package to digitize
especially pollen diagrams, but also any other type of stratigraphic diagram.
Straditize is written in python and supports mixtures of many different diagram
types, such as bar plots, line plots, as well as shaded, stacked, and filled
area plots. The package provides an extensively documented graphical user
interface for a point-and-click handling of the semi-automatic process, but can
also be scripted or used from the command line. Other features of STRADITIZE
include text recognition to interpret the names of the different plotted
variables, the automatic and semi-automatic recognition of picture artifacts,
as well an automatic measurement finder to exactly reproduce the data that has
been used to create the diagram.
Installation
------------
We highly recommend to use anaconda_ and install straditize into its own
environment::
conda create -n straditize -c conda-forge straditize
conda activate straditize
or install it from the source files via::
git clone https://github.com/Chilipp/straditize.git
cd straditize
pip install . # or python setup.py install, but pip is recommended
It can then be started from the command line via::
straditize
A more detailed description is provided in the docs_.
.. _anaconda: https://conda.io/en/latest/miniconda.html
.. _docs: https://straditize.readthedocs.io/en/latest/installing.html
License
-------
straditize is published under the
`GNU General Public License v3.0 <https://www.gnu.org/licenses/>`__
under the copyright of Philipp S. Sommer, 2018-2019
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"description": "=================================\nDigitizing stratigraphic diagrams\n=================================\n\n.. image:: http://unmaintained.tech/badge.svg\n :target: http://unmaintained.tech/\n :alt: No Maintenance Intended\n\n.. start-badges\n\n.. list-table::\n :stub-columns: 1\n :widths: 10 90\n\n * - docs\n - |docs|\n * - tests\n - |travis| |appveyor| |codecov|\n * - package\n - |version| |conda| |joss| |github|\n * - implementations\n - |supported-versions| |supported-implementations|\n\n.. |docs| image:: http://readthedocs.org/projects/straditize/badge/?version=latest\n :alt: Documentation Status\n :target: http://straditize.readthedocs.io/en/latest/?badge=latest\n\n.. |travis| image:: https://travis-ci.org/Chilipp/straditize.svg?branch=master\n :alt: Travis\n :target: https://travis-ci.org/Chilipp/straditize\n\n.. |appveyor| image:: https://ci.appveyor.com/api/projects/status/c1c8pqvh8h8rolxw?svg=true\n :alt: AppVeyor\n :target: https://ci.appveyor.com/project/Chilipp/straditize/branch/master\n\n.. |codecov| image:: https://codecov.io/gh/Chilipp/straditize/branch/master/graph/badge.svg\n :alt: Coverage\n :target: https://codecov.io/gh/Chilipp/straditize\n\n.. |version| image:: https://img.shields.io/pypi/v/straditize.svg?style=flat\n :alt: PyPI Package latest release\n :target: https://pypi.python.org/pypi/straditize\n\n.. |conda| image:: https://anaconda.org/conda-forge/straditize/badges/version.svg\n :alt: conda\n :target: https://anaconda.org/conda-forge/straditize\n\n.. |supported-versions| image:: https://img.shields.io/pypi/pyversions/straditize.svg?style=flat\n :alt: Supported versions\n :target: https://pypi.python.org/pypi/straditize\n\n.. |supported-implementations| image:: https://img.shields.io/pypi/implementation/straditize.svg?style=flat\n :alt: Supported implementations\n :target: https://pypi.python.org/pypi/straditize\n\n.. |joss| image:: http://joss.theoj.org/papers/10.21105/joss.01216/status.svg\n :alt: Journal of Open Source Software\n :target: https://doi.org/10.21105/joss.01216\n\n.. |github| image:: https://img.shields.io/github/release/Chilipp/straditize.svg\n :target: https://github.com/Chilipp/straditize/releases/latest\n :alt: Latest github release\n\n.. end-badges\n\n**This module is not maintained!!!**\n\nSTRADITIZE (Stratigraphic Diagram Digitizer) is an open-source program that\nallows stratigraphic figures to be digitized in a single semi-automated\noperation. It is designed to detect multiple plots of variables analyzed along\nthe same vertical axis, whether this is a sediment core or any similar\ndepth/time series.\n\nUsually, in an age of digital data analysis, gaining access to data from the\npre-digital era \u2013 or any data that is only available as a figure on a page \u2013\nremains a problem and an under-utilized scientific resource.\n\nThis program tackles this problem by providing a python package to digitize\nespecially pollen diagrams, but also any other type of stratigraphic diagram.\n\nStraditize is written in python and supports mixtures of many different diagram\ntypes, such as bar plots, line plots, as well as shaded, stacked, and filled\narea plots. The package provides an extensively documented graphical user\ninterface for a point-and-click handling of the semi-automatic process, but can\nalso be scripted or used from the command line. Other features of STRADITIZE\ninclude text recognition to interpret the names of the different plotted\nvariables, the automatic and semi-automatic recognition of picture artifacts,\nas well an automatic measurement finder to exactly reproduce the data that has\nbeen used to create the diagram.\n\nInstallation\n------------\nWe highly recommend to use anaconda_ and install straditize into its own\nenvironment::\n\n conda create -n straditize -c conda-forge straditize\n conda activate straditize\n\nor install it from the source files via::\n\n git clone https://github.com/Chilipp/straditize.git\n cd straditize\n pip install . # or python setup.py install, but pip is recommended\n\nIt can then be started from the command line via::\n\n straditize\n\nA more detailed description is provided in the docs_.\n\n.. _anaconda: https://conda.io/en/latest/miniconda.html\n.. _docs: https://straditize.readthedocs.io/en/latest/installing.html\n\nLicense\n-------\nstraditize is published under the\n`GNU General Public License v3.0 <https://www.gnu.org/licenses/>`__\nunder the copyright of Philipp S. Sommer, 2018-2019\n",
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