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Höherdimensionale Kompositionsdaten : Gedanken zur grafischen Darstellung und Analyse

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  • Hannes-Friedrich Ulbrich
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    Abstract

    Kompositionsdaten sind mehrdimensionale Daten, deren Komponenten im Wesentlichen nur relative Informationen enthalten (und die sich deshalb meist zu einem festen Wert wie 1 oder 100% addieren). Wegen ihres geschlossenen Charakters sind sie mit herkömmlichen Methoden (basierend auf einem n-dimensionalen Raum Rn) nicht konsistent analysierbar. Methoden der Kompositionsdatenanalyse existieren seit etwa 30 Jahren, sie werden kurz vorgestellt. Ein besonderes Problem ist die adäquate Darstellung von Kompositionsdaten. Für (bis zu) drei Komponenten gibt es verschiedene Methoden, für vier und mehr hingegen sind allen Komponenten gleichartig gerecht werdende Darstellungen kaum vorhanden. Ausgehend von den etablierten Methoden der Kompositionsdatenanalyse wird eine neue Darstellungsform vorgeschlagen, Vor- und Nachteile werden theoretisch and anhand von Beispielen diskutiert.

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    Bibliographic Info

    Paper provided by Universität Potsdam, Wirtschafts- und Sozialwissenschaftliche Fakultät in its series Statistische Diskussionsbeiträge with number 43.

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    Date of creation: Nov 2010
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    Handle: RePEc:pot:statdp:43

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