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straditize

straditize: Digitizing stratigraphic diagrams - Published in JOSS (2019)

https://github.com/chilipp/straditize

Science Score: 93.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
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    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 4 DOI reference(s) in README and JOSS metadata
  • ✓
    Academic publication links
    Links to: joss.theoj.org
  • ○
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    Institutional organization owner
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    JOSS paper metadata
    Published in Journal of Open Source Software

Scientific Fields

Engineering Computer Science - 40% confidence
Last synced: 6 months ago · JSON representation

Repository

⛔️ Python package for digitizing pollen diagrams

Basic Info
Statistics
  • Stars: 18
  • Watchers: 1
  • Forks: 6
  • Open Issues: 13
  • Releases: 4
Created almost 8 years ago · Last pushed over 1 year ago
Metadata Files
Readme Changelog Contributing License Code of conduct

README.rst 

=================================
Digitizing stratigraphic diagrams
=================================

.. image:: http://unmaintained.tech/badge.svg
    :target: http://unmaintained.tech/
    :alt: No Maintenance Intended

.. start-badges

.. list-table::
    :stub-columns: 1
    :widths: 10 90

    * - docs
      - |docs|
    * - tests
      - |travis| |appveyor| |codecov|
    * - package
      - |version| |conda| |joss| |github|
    * - implementations
      - |supported-versions| |supported-implementations|

.. |docs| image:: http://readthedocs.org/projects/straditize/badge/?version=latest
    :alt: Documentation Status
    :target: http://straditize.readthedocs.io/en/latest/?badge=latest

.. |travis| image:: https://travis-ci.org/Chilipp/straditize.svg?branch=master
    :alt: Travis
    :target: https://travis-ci.org/Chilipp/straditize

.. |appveyor| image:: https://ci.appveyor.com/api/projects/status/c1c8pqvh8h8rolxw?svg=true
    :alt: AppVeyor
    :target: https://ci.appveyor.com/project/Chilipp/straditize/branch/master

.. |codecov| image:: https://codecov.io/gh/Chilipp/straditize/branch/master/graph/badge.svg
    :alt: Coverage
    :target: https://codecov.io/gh/Chilipp/straditize

.. |version| image:: https://img.shields.io/pypi/v/straditize.svg?style=flat
    :alt: PyPI Package latest release
    :target: https://pypi.python.org/pypi/straditize

.. |conda| image:: https://anaconda.org/conda-forge/straditize/badges/version.svg
    :alt: conda
    :target: https://anaconda.org/conda-forge/straditize

.. |supported-versions| image:: https://img.shields.io/pypi/pyversions/straditize.svg?style=flat
    :alt: Supported versions
    :target: https://pypi.python.org/pypi/straditize

.. |supported-implementations| image:: https://img.shields.io/pypi/implementation/straditize.svg?style=flat
    :alt: Supported implementations
    :target: https://pypi.python.org/pypi/straditize

.. |joss| image:: http://joss.theoj.org/papers/10.21105/joss.01216/status.svg
    :alt: Journal of Open Source Software
    :target: https://doi.org/10.21105/joss.01216

.. |github| image:: https://img.shields.io/github/release/Chilipp/straditize.svg
    :target: https://github.com/Chilipp/straditize/releases/latest
    :alt: Latest github release

.. end-badges

**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 `__
under the copyright of Philipp S. Sommer, 2018-2019

Owner

  • Name: Philipp S. Sommer
  • Login: Chilipp
  • Kind: user
  • Location: Geesthacht, Germany
  • Company: Helmholtz-Zentrum hereon

JOSS Publication

straditize: Digitizing stratigraphic diagrams
Published
February 17, 2019
DOI
Volume 4, Issue 34, Page 1216
Authors
Philipp S. Sommer ORCID
Institute of Earth Surface Dynamics, University of Lausanne, Géopolis, 1015 Lausanne, Switzerland
Dilan Rech ORCID
Institute of Earth Surface Dynamics, University of Lausanne, Géopolis, 1015 Lausanne, Switzerland
Manuel Chevalier ORCID
Institute of Earth Surface Dynamics, University of Lausanne, Géopolis, 1015 Lausanne, Switzerland
Basil A. s. Davis ORCID
Institute of Earth Surface Dynamics, University of Lausanne, Géopolis, 1015 Lausanne, Switzerland
Editor
Yo Yehudi ORCID
Tags
digitization pollen diagram palynology stratigraphy stratigraphic diagram earth science climate matplotlib python
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GitHub Events

Total
  • Watch event: 5
  • Issue comment event: 1
  • Fork event: 1
Last Year
  • Watch event: 5
  • Issue comment event: 1
  • Fork event: 1

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 378
  • Total Committers: 4
  • Avg Commits per committer: 94.5
  • Development Distribution Score (DDS): 0.056
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Chilipp p****r@p****e 357
Chilipp p****r@u****h 19
Arfon Smith a****n 1
test user t****t@c****e 1
Committer Domains (Top 20 + Academic)
crataegus.home: 1 unil.ch: 1 posteo.de: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 17
  • Total pull requests: 6
  • Average time to close issues: 6 days
  • Average time to close pull requests: 5 days
  • Total issue authors: 8
  • Total pull request authors: 2
  • Average comments per issue: 3.0
  • Average comments per pull request: 1.67
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • Chilipp (7)
  • ixjlyons (4)
  • HAOYANWANG000 (1)
  • BrainDBG (1)
  • MattiasSealander (1)
  • sgrieve (1)
  • zhouborui97 (1)
  • olijw (1)
Pull Request Authors
  • Chilipp (5)
  • arfon (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 20 last-month
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 1
    (may contain duplicates)
  • Total versions: 9
  • Total maintainers: 1
pypi.org: straditize

Python package for digitizing pollen diagrams

  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 20 Last month
Rankings
Dependent packages count: 10.1%
Stargazers count: 15.2%
Forks count: 15.3%
Average: 19.4%
Dependent repos count: 21.6%
Downloads: 34.9%
Maintainers (1)
Chilipp
Last synced: 6 months ago
conda-forge.org: straditize

A software for a semi-automatic digitization of pollen diagrams or other types of stratigraphic diagrams using the command line or a graphical user interface.

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent repos count: 34.0%
Average: 45.6%
Stargazers count: 47.8%
Forks count: 49.6%
Dependent packages count: 51.2%
Last synced: 6 months ago

Dependencies

docs/requirements.txt pypi
  • sphinx *
setup.py pypi
docs/environment.yml pypi
  • autodocsumm *
  • sphinx-argparse *
  • sphinx-nbexamples *