The main intent of this paper is to present a review on the application of time series analysis
techniques in hydrology and climatology. An overview of various statistical tests for detecting …

Three of the most well-known historical landslide areas in Western Greece were examined,
concerning their temporal and kinematic evolution. Long-term ground displacements based …

La geometría fractal nace como una alternativa para interpretar y representar de manera
más precisa las diferentes formas presentes en la naturaleza. Es así como en este artículo …

The classical rescaled adjusted range (R/S) statistic is a popular and robust tool for
identifying fractal structures and long-term dependence in time-series data. Subsequent to …

This paper addresses the issue of analyzing time series with temporal association rule
mining techniques. Since originally association rule mining was developed for the analysis …

In this paper a procedure for Monte Carlo simulation of univariate stationary stochastic
processes with the aid of neural networks is presented. Neural networks operate model-free …

To simulate a suitable fracture network for hydrogeological modelling, input statistical data of
the individual faults, as well as fracture sets, should be determined first using either 2D …

Numbers of studies have proved the significant influence of climate variables on
hydrological series. Considering the pivotal role of the hydroelectric power plants play in the …

Different aspects and techniques of time series analysis were used to investigate long-term
data sets of atmospheric mercury in the Northern Hemisphere. Two perennial time series …

In recent years, transforming a time series into visibility network has emerged as a powerful
tool of data analysis, with applications in many pure and applied domains of statistical …