Analyzing land cover change dynamism through a GIS-based method: application to Gran Canaria (Canary Islands, Spain)

  1. Santana Cordero, Aarón Moisés 1
  1. 1 Departamento de Geografía, Universidad de Salamanca (España/Spain)
Revista:
Cuadernos geográficos de la Universidad de Granada

ISSN: 0210-5462 2340-0129

Año de publicación: 2024

Volumen: 63

Número: 1

Páginas: 65-83

Tipo: Artículo

DOI: 10.30827/CUADGEO.V63I1.27903 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: Cuadernos geográficos de la Universidad de Granada

Resumen

Los paisajes son áreas dinámicas que pueden ser estudiadas desde la perspectiva de diferentes disciplinas relacionadas. La aplicación de métodos con sistemas de información geográfica para estudiar cambios en el paisaje es un recurso que ayuda a entender y explicar la dinámica del paisaje. Así, el objetivo de este artículo es caracterizar el dinamismo de las coberturas del suelo y la identificación de los ‘hotspots’ (puntos calientes) en los cambios de las mismas. El método utilizado aquí genera mapas ráster en los que el valor de cada píxel representa el número de veces que cada uno de ellos ha cambiado de cobertura entre 1990 y 2018. Además, este método proporciona tres mapas, ya que trabaja con los tres niveles taxonómicos de los datos del Corine Land Cover, dándonos diferentes niveles de detalle en el análisis. Por otro lado, el tratamiento estadístico de los datos se ha hecho a nivel de municipio. Los resultados más importantes revelan que Agüimes es el municipio con los cambios de cobertura del suelo más dinámicos en los tres niveles, mientras que Tejeda, en el nivel 1, y Valsequillo, en los niveles 2 y 3, tienen las coberturas de suelo menos cambiantes. Estos resultados son complementados con otros análisis estadísticos que permiten la integración de diferentes tipos de datos, como son los relativos a la población, al turismo y a la agricultura. Seguidamente, algunos problemas metodológicos y resultados son discutidos y puestos en contexto con la literatura científica.

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