Publication: Una metodología multivariante versus una metodología tradicional en la identificación y clasificación del paisaje
Authors
Alcántara Manzanares, Jorge ; Muñoz Álvarez, Jesús Miguel
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info:eu-repo/semantics/article
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Abstract
El objetivo de este estudio ha sido validar una identificación de tipos de paisaje desarrollada
gracias a un método multivariante de clasificación (TWINSPAN), tomando como ámbito de
estudio la provincia de Huelva (Andalucía, España), mediante su comparación con una
identificación realizada utilizando métodos no estadísticos. Para ello se eligió la identificación de
tipos de paisajes del Atlas de los Paisajes de España Sanz. El análisis comparado muestra un
grado de similitud óptimo entre ambas. Esto respalda la validez del método multivariante, que
además presenta una serie de ventajas frente al tradicional, aunque probablemente la excelencia
se consiga mediante la combinación de ambos.
The aim of this study was to validate an identification of landscape types through a multivariate classification method (TWINSPAN) on the province of Huelva (Andalusia, Spain) by its comparison with a classification developed using non-statistical methods. To this aim, the identification of landscapes types of the Landscape Atlas of Spain was chosen. The comparative analysis shows an optimal degree of similarity between them. This implies the validity of multivariate method, which has also advantages over conventional methods, although probably the excellence is better achieved through a combination of both of them.
The aim of this study was to validate an identification of landscape types through a multivariate classification method (TWINSPAN) on the province of Huelva (Andalusia, Spain) by its comparison with a classification developed using non-statistical methods. To this aim, the identification of landscapes types of the Landscape Atlas of Spain was chosen. The comparative analysis shows an optimal degree of similarity between them. This implies the validity of multivariate method, which has also advantages over conventional methods, although probably the excellence is better achieved through a combination of both of them.
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