This work aims to detect the common short term dynamics to yearly time series of 413 Italian tourist areas. We adopt the clustering technique of Abraham et al. (Scand J Stat. 30:581–595, 2003) who propose a two-stage method which fits the data by B-splines and partitions the estimated model coefficients using a k-means algorithm. The description of each cluster, which identifies a specific kind of dynamics, is made through simple descriptive cross tabulations in order to study how the location of the areas across the regions or their prevailing typology of tourism characterize each group.

Parroco, A.M., Scuderi, R. (2012). Short term Dynamics of tourist Arrivals: What do destination have in common?. In A.G. Wolfgang A. Gaul (a cura di), Challenges at the interface of data analysis, computer science, and optimization (pp. 577-584). Springer [10.1007/978-3-642-24446-7].

Short term Dynamics of tourist Arrivals: What do destination have in common?

PARROCO, Anna Maria;
2012-01-01

Abstract

This work aims to detect the common short term dynamics to yearly time series of 413 Italian tourist areas. We adopt the clustering technique of Abraham et al. (Scand J Stat. 30:581–595, 2003) who propose a two-stage method which fits the data by B-splines and partitions the estimated model coefficients using a k-means algorithm. The description of each cluster, which identifies a specific kind of dynamics, is made through simple descriptive cross tabulations in order to study how the location of the areas across the regions or their prevailing typology of tourism characterize each group.
2012
Parroco, A.M., Scuderi, R. (2012). Short term Dynamics of tourist Arrivals: What do destination have in common?. In A.G. Wolfgang A. Gaul (a cura di), Challenges at the interface of data analysis, computer science, and optimization (pp. 577-584). Springer [10.1007/978-3-642-24446-7].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/76617
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact