A Climate-Mathematical Clustering of Rainfall Stations in the Río Bravo-San Juan Basin (Mexico) by Using the Higuchi Fractal Dimension and the Hurst Exponent

When conducting an analysis of nature’s time series, such as meteorological ones, an important matter is a long-range dependence to quantify the global behavior of the series and connect it with other physical characteristics of the region of study. In this paper, we applied the Higuchi fractal dime...

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Principais autores:	Francisco Gerardo Benavides-Bravo, Dulce Martinez-Peon, Ángela Gabriela Benavides-Ríos, Otoniel Walle-García, Roberto Soto-Villalobos, Mario A. Aguirre-López
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2021-10-01
coleção:	Mathematics
Assuntos:	rainfall data time series long-range dependence Higuchi fractal dimension Hurst exponent clustering
Acesso em linha:	https://www.mdpi.com/2227-7390/9/21/2656
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