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Abstract Details
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Activity Number:
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410
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #305442 |
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Title:
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The Use of Bidimensional Regression and Multidimensional Scaling for Exploring Spatial Structure of Transportation Networks and Other Two-Dimensional Surfaces
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Author(s):
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Tamas Dusek*+
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Companies:
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Szechenyi Istvan University
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Address:
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Egyetem Ter 1, 9026 Gyor, , Hungary
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Keywords:
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multidimensional scaling ;
bidimensional regression ;
spatial statistics
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Abstract:
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The deformation of time and cost space of any transportation network from the Euclidean space can be analyzed by multidimensional scaling. Bidimensional regression can compare the results of multidimensional scaling with the geographical space. These spatial analytical techniques together with some supplementary diagnostic tools help to determine whether a meaningful spatial structure exists and can reveal the local and regional biases of transport spaces. The aim of the study is to discuss the methodological and operational problems of the common use of these techniques, both analytically and by the help of two real world examples, the time space and the cost space of European air travel. Most part of the analysis can be generalized to comparison of any kind of two two-dimensional surfaces.
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Authors who are presenting talks have a * after their name.
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