Barcamp Muencheberg

Peter Koppatz

(March 2015)

During a barcamp of the workshop „Simulation in den Umwelt- und Geowissenschaften“ (simulation in environmental and geo- sciences) March, 2015 in the research center ZALF the PyHasse-website and the actual status of available programs (modules) was shown as well as examples applying available modules were demonstrated. A typical question is often posed and also within the barcamp: What (the hell) can I do with PyHasse?

Answers can be found in:

  1. Within the interview of our documentation [1]

  2. In the references [2]

  3. Clearly you can always ask the authors of PyHasse themselves [3].

Nevertheless here (once again) a trial to give a simple answer:

Always when you want to find a ranking of objects (cities with respect to their living quality, chemicals with respect to their environmental risks, etc) PyHasse tries to find a ranking out of the indicators seen as characteristic for the ranking aim. However not all objects can be uniquely ranked, because data conflicts due to the single indicators may appear. Both the vertical direction (the ranking) as well as the horizontal devwlopment (the conflicts ) can be analyzed by PyHasse.

[1] Interview

[2] References

[3] Impress

Spyout module

Peter Koppatz

(March 2015)

The module spyout, is thought of as an introductory program, making newcomers familiar with some ideas of the theory of partially ordered sets. The module spyout should at best motivate the user to try out the other already existing modules. The module spyout has as usual: Basic information concerning the data matrix (Menue: “Calculate”):

  • list of objects
  • list of attributes (indicators)
  • output of the data matrix

and both important order theoretical matrices the zeta-matrix as well as the cover-matrix. It informs about equivalence classes and its representative elements. Furthermore a Hasse diagram can be obtained with all its facilities (zooming, downsets, upsets, local Hasse diagram incomparables).

So far, spyout provides the same basic information pieces as any other module of PyHasse.

Specifically spyout informs about (Menue “Show”):

  • Basic statistics of the data matrix for each indicator: When the user want to get more information in that context, other software products could be helpful, for example the free software R.

  • Connectivities: Here a list appears, where for each representative element x the number of elements in the

  • down set
  • upset
  • appears together with the number of elements incomparable with x

Chain list

A connectivity between x and an element z for instance in the down set does not necessarily mean that there is only one path from x to z. Therefore the next step could be to check “chain list”, where all chains are listed, which are possible between x and z, ordered due to decreasing length. A more extensive study of chains can be the next step, especially following the question whether or not chains of the same length are similar. This question can be studied in the module chain.

Conflicts

No connection between x and an element y: Then y is one of the elements in the set of elements incomparable with x. Then a further study is possible to find out, what are the reasons for the incomparability in terms of the indicator values. I.e. here the the submenu “conflicts” can be helpful. When still more information is wanted then the module acm can be helpful.

Have a look at the documentation and/or calculation of the module.

Fuzzy module

Peter Koppatz

(February 2015)

Application of fuzzy concepts within the framework of partial orders is one interesting option to take into regard that not any slight numerical difference is considered as relevant for a ranking. Now a fuzzy concept is available within PyHasse.

Have a look at the documentation and/or calculation of the module.

/files/diagrams/chain-polution.png