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

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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Bibliographic Details
Main Authors: Francisco Gerardo Benavides-Bravo, Dulce Martinez-Peon, Ángela Gabriela Benavides-Ríos, Otoniel Walle-García, Roberto Soto-Villalobos, Mario A. Aguirre-López
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Mathematics
Subjects:
rainfall data
time series
long-range dependence
Higuchi fractal dimension
Hurst exponent
clustering
Online Access:https://www.mdpi.com/2227-7390/9/21/2656

Internet

https://www.mdpi.com/2227-7390/9/21/2656

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