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

Rainer Brüggemann (), Lars Carlsen, Kristina Voigt and Ralf Wieland
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Rainer Brüggemann: Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Department of Ecohydrology
Lars Carlsen: Awareness Center
Kristina Voigt: Helmholtz Center, Munich, Institute of Computational Biology
Ralf Wieland: Institute of Landscape Systems Analysis, Leibniz Centre for Agricultural Landscape Research (ZALF)

Chapter Chapter 19 in Multi-indicator Systems and Modelling in Partial Order, 2014, pp 389-423 from Springer

Abstract: 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.

Keywords: Partial Order; Data Matrix; Data Matrice; Average Rank; Ordinal Analysis (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-1-4614-8223-9_19

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