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PyHasse Software for Partial Order Analysis: Scientific Background and Description of Selected Modules

In: Multi-indicator Systems and Modelling in Partial Order

Author

Listed:
  • Rainer Brüggemann

    (Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Department of Ecohydrology)

  • Lars Carlsen

    (Awareness Center
    National University, Center of Physical Chemical Methods of Research and Analysis, al-Farabi Kazakh)

  • Kristina Voigt

    (Helmholtz Center, Munich, Institute of Computational Biology)

  • Ralf Wieland

    (Institute of Landscape Systems Analysis, Leibniz Centre for Agricultural Landscape Research (ZALF))

Abstract

The software PyHasse is an elaborated “experimental” software for ordinal analysis of data matrices. PyHasse is based on the interpreter programming language Python. A brief introduction to the programming language Python is given and the general principles behind PyHasse are outlined. An actual overview about PyHasse (status, April 2013) is provided. Today PyHasse comprises 91 modules covering 9 different categories, such as basic Partial Order Analysis, i.e., the drawing Hasse diagrams and the calculation of some important quantities. A selection of newer or rarely used modules are discussed in detail in order to explain some principles of PyHasse. As a leading example the pollution by Lead, Cadmium, and Zinc of regions of south-western Germany is discussed. An outlook is given, where future projects are discussed. Such projects comprise among others, Internet access to some of the more important modules, inclusion of the Formal Concept Analysis tools, and of tools derived from POSAC and the variance-based sensitivity.

Suggested Citation

  • Rainer Brüggemann & Lars Carlsen & Kristina Voigt & Ralf Wieland, 2014. "PyHasse Software for Partial Order Analysis: Scientific Background and Description of Selected Modules," Springer Books, in: Rainer Brüggemann & Lars Carlsen & Jochen Wittmann (ed.), Multi-indicator Systems and Modelling in Partial Order, edition 127, chapter 0, pages 389-423, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4614-8223-9_19
    DOI: 10.1007/978-1-4614-8223-9_19
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