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Abstract
Event tourism is part of the appeal of a destination and an important contributor to the well-being of communities. This paper examines the festivals classified of interest to tourists by the Spanish Tourist Board. The declaration of Festivals of Interest to Tourists (FITs) is granted to those festivals which demonstrate cultural values and popular traditions, with special consideration to their ethnological characteristics and to their particular importance as a tourist attraction. These festivals provide new opportunities to attract visitors to the places where they are held. Local and regional policies can take advantage of the FITs in order to increase the appeal of a tourist destination. This paper details an exploratory analysis of FITs in Spanish provinces. This study aims to group the provinces according to the characteristics of their FITs. To this end, a cluster analysis is performed and the validity is established using the unbiased estimator out-of-bag.
Notes
Department of Information and Tourism: Order of 30 September 1964, which forms the honorary title of “FIT” (Ministerio de Información y Turismo, Citation1964).
Department of Information and Tourism: Order of 1 March 1968, which modifies the Order of 30 September 1964 (which formed the honorary title of “FIT”) (Ministerio de Información y Turismo, Citation1968).
Department of Commerce and Tourism: Order of 29 January 1979, which regulates the FIT awards (Ministerio de Comercio y Turismo, Citation1979).
Department of Transport, Tourism, and Communication: Order of 29 September, 1987, which regulates the Festivals of National and International Interest to Tourists awards (Ministerio de Transportes, Turismo y Communicaciones, Citation1987).
Department of Industry, Tourism, and Commerce: Order of 3 May, 2006, which regulates the Festivals of National and International Interest to Tourists awards (Ministerio de Industria, Comercio y Turismo, Citation2006).
Bagging is an acronym for “bootstrap aggregating”. As the name indicates, it is based on the bootstrap methodology, i.e. on the generation of random samples with replacement from a set of information and on the obtaining of an approximate distribution of the derivative results of making an estimation on different types of samples.
This indicator is very much used in disciplines related to the economy. Whenever a variable is chosen to divide a cluster in a classification tree, Gini's index for a son cluster is minor than that of its father cluster. The mean decrease for each variable is the Mean Decrease of Gini index.
De-seasonalize means to remove the seasonal effects on a variable.