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An Approach to Modelling Directional and Betweenness Data

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Classification, Data Analysis, and Data Highways
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Abstract

A model is introduced to analyze and represent spatially either directly obtained or derived judgments expressing directions in space or betwennness relations among objects. For the two-dimensinal case the construction rules tofind a spatial representation of the object points are given in detail. A small example illustrates the procedure. Consistency tests are reported which allow a differentiated analysis of this kind of cognitive structure. The three-dimensional case is discussed briefly. Finally, it is illustrated how ratings, rankings, and co-occurrence informations are transformed to betweenness data.

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© 1998 Springer-Verlag Berlin · Heidelberg

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Feger, H. (1998). An Approach to Modelling Directional and Betweenness Data. In: Balderjahn, I., Mathar, R., Schader, M. (eds) Classification, Data Analysis, and Data Highways. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72087-1_3

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  • DOI: https://doi.org/10.1007/978-3-642-72087-1_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63909-1

  • Online ISBN: 978-3-642-72087-1

  • eBook Packages: Springer Book Archive

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