Multivariate versus traditional methodology for identification and classification of landscape

Authors

  • Jorge Alcántara Manzanares Universidad de Córdoba
  • Jesús Miguel Muñoz Álvarez Universidad de Córdoba
DOI: https://doi.org/10.6018/geografia/2017/279791
Keywords: Landscape classification, Multivariate methods, TWINSPAN, Huelva, GIS

Abstract

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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Author Biography

Jorge Alcántara Manzanares, Universidad de Córdoba

Profesor Ayudante Doctor. Departamento de Didáctica de las Ciencias Sociales y Experimentales.

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Published
06-04-2017
How to Cite
Alcántara Manzanares, J., & Muñoz Álvarez, J. M. (2017). Multivariate versus traditional methodology for identification and classification of landscape. Geography Papers, (63), 39–51. https://doi.org/10.6018/geografia/2017/279791
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