<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The objective of this study is the characterisation of the Spanish autonomous communities as tourist destinations for Spanish trips, based on the activities carried out, using the principal component method. The Spanish tourist is not only motivated by the sun and beach. This paper aims to clarify how Spanish people consider other tourist destinations. We contrast how frequently other types of tourism are valued when choosing their destination within the Spanish geography. Inland tourism, sports tourism, entertainment as well as gastronomy are becoming increasingly important.</p></abstract>

The objective of this study is the characterisation of the Spanish autonomous communities as tourist destinations for Spanish trips, based on the activities carried out, using the principal component method. The Spanish tourist is not only motivated by the sun and beach. This paper aims to clarify how Spanish people consider other tourist destinations. We contrast how frequently other types of tourism are valued when choosing their destination within the Spanish geography. Inland tourism, sports tourism, entertainment as well as gastronomy are becoming increasingly important.

The Application of Principal Component Analysis (PCA) for the Study of the Spanish Tourist Demand

Departamento de Geografía y Geología, Facultad de Filosofía y Letras

Departamento de Economía y Estadística, Facultad de Ciencias Económicas y Empresariales

Quaestiones Geographicae

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The objective of this study is the characterisation of the Spanish autonomous communities as tourist destinations for Spanish trips, based on the activities...

The Application of Principal Component Analysis (PCA) for the Study of the Spanish Tourist Demand

Online veröffentlicht: 31. Dez. 2018

Seitenbereich: 43 - 52

Eingereicht: 26. Feb. 2018

DOI: https://doi.org/10.2478/quageo-2018-0036

Schlüsselwörter
Spain, autonomous communities, tourist demand, principal component analysis

© 2018 María Jesús González González et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The Application of Principal Component Analysis (PCA) for the Study of the Spanish Tourist Demand

Online veröffentlicht: 31. Dez. 2018

Seitenbereich: 43 - 52

Eingereicht: 26. Feb. 2018

DOI: https://doi.org/10.2478/quageo-2018-0036

SchlüsselwörterSpain, autonomous communities, tourist demand, principal component analysis

© 2018 María Jesús González González et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Spain, autonomous communities, tourist demand, principal component analysis