Visualization techniques for semiparametric APC analysis - using generalized additive models to examine touristic travel distances

• Autores: Maximilian Weigert, Alexander Bauer, Johanna Gernert, Marion Karl, Helmut Küchenhoff, Jürgen Schmude
• Localización: Proceedings of the 35th International Workshop on Statistical Modelling : July 20-24, 2020 Bilbao, Basque Country, Spain / Itziar Irigoien Garbizu (ed. lit.), Dae-Jin Lee (ed. lit.), Joaquín Martínez Minaya (ed. lit.), María Xosé Rodríguez Álvarez (ed. lit.), 2020, ISBN 978-84-1319-267-3, págs. 450-453
• Idioma: inglés
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• Resumen

  • Examination of age, period and cohort effects is a crucial aspect in many long-term studies. In this work, we extend a holistic APC analysis framework by introducing innovative visualization techniques facilitating the intuitive interpretation of complex temporal structures. Our concepts are motivated by the representation of age, period and cohort in Lexis diagrams. We introduce ridgeline matrices, a two-dimensional extension of ridgeline plots, to commonly visualize distributions for age groups, periods and cohorts. The established APC concept of generalized additive models is used to circumvent the identification problem by fitting a bivariate tensorproduct spline between age and period. We outline our concepts by analyzing altering travel distances of German tourists.