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Abstract Details

Activity Number: 410
Type: Contributed
Date/Time: Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and the Environment
Abstract - #305442
Title: The Use of Bidimensional Regression and Multidimensional Scaling for Exploring Spatial Structure of Transportation Networks and Other Two-Dimensional Surfaces
Author(s): Tamas Dusek*+
Companies: Szechenyi Istvan University
Address: Egyetem Ter 1, 9026 Gyor, , Hungary
Keywords: multidimensional scaling ; bidimensional regression ; spatial statistics

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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