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ornament_symmgroups

Code repository to reproduce analyses and figures published in the following papers:

  • Similarity in Symmetry Groups of Ornaments as a Measure for Cultural Interactions in Medieval Times
    Erbudak M and Onat S, Preprints, 2020, link

    drawing drawing
    Floor mosaics with two-dimensional, periodic ornaments found (upper row) in the Terrace Houses in Ephesus and (lower row) in the Zeugma Museum.
  • The Role of the Greco-Roman Practice as a Progenitor of the Armenian and Eastern Roman Ornamental Art
    Erbudak M and Onat S, Arxiv, 2020, link

    drawing
    A dendogram based on the dissimilarities between the symmetry groups of medieval cultures.

Setup:

Analyses were ran using Python 3.6.6, therefore this is the recommended Python interpreter version for this repository.

The easiest way to have Python 3.6.6 is to install a package manager for your operating system and install with it PyEnv. PyEnv let's you install different versions of Python to be used for different projects.

In Mac you can install brew for this purpose and use it to install PyEnv with brew install pyenv. Once this is done you can run pyenv to install Python 3.6.6 with pyenv local 3.6.6 in the repository folder, this will effectively make 3.6.6 the default Python interpreter for this project.

You can test your installation with python --version which should return 3.6.6

In the second step you need to run make setup to install all the packages required for the analysis, which are listed in requirements.txt file. Make setup will install all the required packages to create the analyis environment, which you need to activate with . .env/bin/activate.

Content

  • Preprints Manuscript

    • DataFile
      data_Preprints.xlsx
    • Analysis Notebook
      notebook_analysis_Preprints.ipynb
  • Arxiv Manuscript

    • Data File
      data_paper_Arxiv.xlsx
    • Analysis Notebook
      notebook_paper_Arxiv.ipynb

Analysis

The analyses were conducted in Jupyter notebooks, therefore you have to start a Jupyter server by issuing jupyter notebook and open one of the .ipynb files.

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