ANÁLISIS ESPACIAL DE DATOS Y TURISMO: NUEVAS TÉCNICAS PARA EL ANÁLISIS TURÍSTICO. UNA APLICACIÓN AL CASO EXTREMEÑO

• Main Author: Marcelino Sánchez Rivero
• Format: Article
• Language: English
• Published: Facultad de Ciencias Sociales y Jurídicas, Universidad de Jaén 2008-06-01
• Series: Revista de Estudios Empresariales. Segunda Época
• Subjects: Spatial randomness; spatial autocorrelation; spatial clusters; Moran’s I; Moran´s scatterplot; exploratory spatial data analysis; Extremadura
• Online Access: http://revistaselectronicas.ujaen.es/index.php/REE/article/view/365/328

Tourism analysis has several unquestionable spatial implications. Almost every tourism variable is conditioned by their values in neighbour tourism destinations. This situation is connected with spatial autocorrelation concept. This statistical concept has not been taken into account in tourism analysis until now.The aim of this article is to overview some analytical tools to test the presence of spatial autocorrelation in tourism variables analysis and, if this is the case, to identify spatial clusters in both global and local approaches. Another objective is to show how cartographical representation of tourism data improve susbtantially the analysis, because allow the researcher to locate relationships among tourism destinations, which, if these tools are not used, should stay hidden. Finally, in order to show the empirical usefulness of the previously presented techniques, the second part of the article is devoted to the empirical application of these tools to some tourism variables from a spanish tourism destination: Extremadura.